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119551 - ADVANCED FLUID MACHINERY AND ENERGY SYSTEMS

STEFANO UBERTINI

First Semester 9ING-IND/08eng

Learning objectives

The course aims to provide a comprehensive understanding of volumetric machines, analyzing kinematics, volumetric expanders, volumetric compressors, and volumetric pumps. Participants will gain detailed knowledge of internal combustion engines, including their classification, fields of application, characteristic parameters, performance, and power regulation techniques, as well as fuel systems and combustion processes.
The course will delve into gas turbine components, focusing on compressors, turbines, materials used, refrigeration techniques, combustors, pollutant emissions, and the influence of external conditions on turbine operation. Power regulation, startup processes, operational transients, and off-design operation, along with the concept of technical minimum, will also be covered.
The course will explore combined cycle plant components, analyzing various plant configurations, multi-pressure level recovery boilers, post-combustion techniques, power regulation, and emission control. Advanced gas cycles, including external combustion, steam injection, humid air cycles, and chemical recovery cycles, will be examined, along with IGCC (Integrated Gasification Combined Cycle) plants, with a focus on their operation, performance, components, and technologies.
Participants will gain knowledge of gas microturbines, including their applications and performance, and fuel cells and hydrogen technologies. The course will cover the electrochemical operation of fuel cells, energy balance, performance, components (electrodes, electrolyte), and construction technologies, focusing on various types of fuel cells (PEM, PAFC, AFC, MCFC, SOFC) and energy systems based on these technologies. The course will also provide an overview of renewable energy sources and an introduction to energy storage systems, concluding with an introduction to Life Cycle Assessment and climate change impacts.
Expected learning outcomes:
At the end of the course the student is expected to have the following knowledge:
• knowledge of the detailed operation of heat exchangers, gas turbines with blade cooling and micro-gas turbines, combined systems at multiple pressure levels, fuel cells, and fuel processing systems for the production of syngas with a high hydrogen content;
• knowledge of the configuration, of the operating principles and of the selection criteria of the main types of volumetric fluid machines.
At the end of the course the student is expected to have the following skills:
• ability to design thermal engine systems and volumetric machines of medium and high complexity;
• ability to check volumetric machines, gas turbines, combined systems at multiple pressure levels, thermal engine systems, hydraulic motors, and refrigerators in different operating conditions;
• ability to choose a volumetric machine according to the field of application;
• ability to carry out the sizing of volumetric pumps and compressors and internal combustion engines;
• ability to carry out the dimensioning of fuel processing systems for the production of syngas with a high hydrogen content and of different types of fuel cells;
• ability to operate correctly (power regulation, control of operating parameters, performance monitoring) volumetric machines, gas turbines with blade cooling and gas micro-turbines, combined systems at multiple pressure levels, and fuel cells.
At the end of the course the student is expected to have the communication skills to describe, in written and oral form, the sizing, design choices, checks, operations and monitoring in the areas of heat exchangers, gas turbines with cooling of gas blades and microturbines, combined systems at multiple pressure levels, fuel cells, fuel processing systems for the production of syngas with high hydrogen content.

Teacher's Profile

courseProgram

Volumetric machines: Kinematics, Volumetric expanders. Volumetric compressors. Volumetric pumps.
Internal combustion engines: classification, fields of use, characteristic parameters, performance, power regulation, power supply and combustion processes.
Complements of gas turbines: compressor, turbine, materials, refrigeration techniques, combustor, polluting emissions, influence of external conditions on operation, power regulation and start-up, transients and off-project operation, technical minimum.
Complements of combined systems: system configurations, multi-level pressure recovery boiler, post-combustion, power regulation, polluting emissions control.
Advanced gas cycles (external combustion, water vapor injection, humid air, chemical recovery). Integrated Gasification Combined Cycle (IGCC) plants.
Gas micro-turbines.
Fuel cells and hydrogen technologies: electrochemical operation, energy balance and performance, components (electrodes, electrolyte), construction technologies, types of fuel cells (PEM, PAFC, AFC, MCFC, SOFC), energy systems based on fuel cells .
Renewable energies overview
Principles of energy storage systems
Life Cycle Assessment and climate-altering effects

examMode

The exam will consist of a written exam and, if needed, an oral exam just after the written one.
During the semester the assignment of homework with evaluation is foreseen, which will be discussed during the oral exam.
The written exam will consist of at least 3 questions through which the teacher can evaluate the learning level of the topics covered in the course and the student's ability to solve practical / design problems.

books

For the part of internal combustion engines:
1. Ferrari, G., Motori a Combustione Interna, Ed. The capital
2. J.B Heywood: '' Internal combustion engine fundamentals '', Mc Graw Hill, NY
For the part of volumetric machines:
1. Caputo C., Le machine volumetriche, Casa Editrice Ambrosiana.
For the part of gas turbines:
1. G. Lozza: Turbine a Gas e Cicli Combinati, Pitagora Ed.
For the fuel cell part:
DOE, Fuel Cell Handbook, 7th edition (https://www.netl.doe.gov/File%20Library/research/coal/energy%20systems/fuel%20cells/FCHandbook7.pdf)
For different parts of the course:
Vincenzo Dossena et al., Macchine a Fluido, CittàStudi

mode

The course is divided into 60 hours lectures, exercises and/or practical lessons (15 hours), seminars (6 hours). Theoretical notions are illustrated to students during lectures, through audio-visual aids and the blackboard. The exercises and practical lessons include an introductory explanation and a practical or numerical experience to be carried out.

classRoomMode

Attendance of the course is optional

bibliography

For the part of internal combustion engines:
1. Ferrari, G., Motori a Combustione Interna, Ed. The capital
2. J.B Heywood: '' Internal combustion engine fundamentals '', Mc Graw Hill, NY
For the part of volumetric machines:
1. Caputo C., Le machine volumetriche, Casa Editrice Ambrosiana.
For the part of gas turbines:
1. G. Lozza: Turbine a Gas e Cicli Combinati, Pitagora Ed.
For the fuel cell part:
DOE, Fuel Cell Handbook, 7th edition (https://www.netl.doe.gov/File%20Library/research/coal/energy%20systems/fuel%20cells/FCHandbook7.pdf)
For different parts of the course:
Vincenzo Dossena et al., Macchine a Fluido, CittàStudi

119552 - SENSORS AND DATA ACQUISITION SYSTEMS

STEFANO ROSSI

First Semester 9ING-IND/12eng

Learning objectives

Educational aims:
The main objectives of the Sensors and Data Acquisition systems course is to give the student the knowledge of the analysis methods and acquisition systems focusing the attention on the hardware and software (Labview) developed by National Instrument. A deep knowledge on the inertial measurement systems will be provided to the student.
Expected learning outcomes:
Knowledge and understanding: knowledge of the working principle of the data acquisition systems, knowledge the software Labview, knowledge of inertial sensors, understanding the body kinematics in order to better understand the algorithms that are implemented for the analysis of inertial sensor outputs.
Applying knowledge and understanding: understanding of the right scientific and methodological approach to the measurements; learning how to program in Labview language in order to acquire and analyze electrical signals. learning to independently perform a calibration procedure of sensors such as thermistors, distance sensors, accelerometers, and gyroscopes.
Making judgements: the student will be able to understand the experimental results; knowing how to choose the best instruments that has to be used as a function of the required measurements for the analysis of motion; the student will be able to independently implement software for the data acquisition and analysis.
Communication skills: the student will be able to report on experiments and to read and write calibration reports and datasheets; understanding of software written in Labview.
Learning skills: the ability to apply the learned methodological accuracy and the Labview software to different measurement setups than those studied in the Sensors and Data Acquisition systems course.

Teacher's Profile

courseProgram

Detailed program:
The topics and the laboratory experiences are reported in the following:
Frontal lessons:
1. Displacement, velocity and acceleration measurements by means of inertial and optoelectronic systems;
2. Kinematics of rigid bodies: rotational matrix, rototraslational matrix, Euler angles;
3. Analog to Digital conversion;
4. Data acquisition systems;
5. Acquisition data software – Labview: Introduction to Labview; Block diagrams; VI components; While loop and for loop; Array and cluster; State machine; Error management; DAQ software with NI myDAQ hardware;

Laboratory Experiences:
1. Design of an evaluation board for temperature monitoring and data acquisition;
2. Acquisition of digital data;
3. Calibration of a distance sensor;
4. Design of an inertial system using accelerometers and gyroscopes;

examMode

The level of the acquired knowledge and the ability to clear explain the learned arguments are assessed by means of an experimental activity and an oral exam. During the experimental activity, the student has to program an acquisition or analysis software written in Labview. During the oral exam, the student's reports on laboratory experiences and on the theoretical part of course. The final grade is evaluated by the average between the oral exam and the experimental activity. Plus/minus three points will be added from a global evaluation of the laboratory experiences.

books

E. O. DOEBELIN Measurement Systems: Application and Design, Mac Graw Hill (libro integrativo)
Labview user manual (National Instruments) on MOODLE

mode

The Sensors and Data Acquisition systems course is divided in 48 hours of frontal lessons and 24 hours of experimental sessions. The theoretical knowledge are reported to the students by means of frontal lessons using a personal computer where they can implement the Labview software. The laboratory experiences consist of a first theoretical part and an experimental one where students are totally involved in the acquisition and analysis of measurement system outputs using the available acquisition boards.

classRoomMode

Attendance of the course is optional

bibliography

E. O. DOEBELIN Measurement Systems: Application and Design, Mac Graw Hill (libro integrativo)
Labview user manual (National Instruments) on MOODLE

MODULE II - -- -
ITALIAN LANGUAGE – BEGINNER/PRE-INTERMEDIATE

ERIKA CIVERO

First Semester3ITA

Learning objectives

The course aims to provide students with the knowledge and skills necessary to handle interactions in basic everyday situations, both public (shops, daily services, offices) and personal (family, friends), as well as university-related scenarios (administrative offices, simple requests). The first part of the course will cover fundamental theoretical aspects related to the four core language skills (listening, reading, speaking, and writing), aiming to achieve an A2 level according to the Common European Framework of Reference for Languages. Subsequently, practical communication skills in everyday contexts will be developed, focusing on understanding and interacting in predictable situations.
Students will be able to apply their language skills in an original way, even in daily life and simple academic interactions. They will be able to understand basic oral and written texts and make judgments about their communicative effectiveness. They will also be able to communicate simple information clearly and understandably.

Knowledge and Understanding: Understanding the basic principles of language skills, particularly focusing on listening and reading comprehension in everyday contexts.
Applied Knowledge and Understanding: Through practical exercises, students will develop the ability to apply the acquired techniques to handle simple interactions in various contexts.
Judgment Autonomy: Being able to evaluate their own communicative abilities and apply acquired knowledge to manage routine dialogues.
Communication Skills: Being able to present, both in writing and orally, simple and clear information about daily life and personal experiences.
Learning Ability: Being able to gather information from basic educational materials and apply knowledge to solve common communication problems

MODULE II - -- -
POLYMER COMPOSITESFirst Semester6FIS/01ita

Learning objectives

The course aims to provide students with the knowledge and skills necessary to understand and analyze polymeric, composite, and nanocomposite materials, with a particular focus on their chemical-physical properties, processing technologies, and structure-property relationships. In the first part of the course, the fundamental principles related to the chemical and physical properties of polymeric and composite materials will be addressed, and the main processing techniques will be presented. Subsequently, the relationships between structure, properties, and processing will be analyzed, with a specific focus on the techniques used to characterize chemical-physical properties. Finally, tools for designing structures and devices based on these materials will be provided.
Students will be able to understand and apply the knowledge gained even in interdisciplinary contexts, developing a critical perspective on the properties and behavior of polymeric and composite materials. Additionally, they will be able to communicate information about the materials studied to both specialist and non-specialist audiences.
Knowledge and understanding: understanding the fundamental principles of the chemical-physical properties of polymeric, composite, and nanocomposite materials, as well as the relationships between structure, properties, and processing.
Applied knowledge and understanding: through the study of practical cases, students will be able to apply the knowledge gained to the design of structures and devices based on polymeric and composite materials.
Independent judgment: being able to evaluate the properties of materials and apply the knowledge for the optimal selection and use of polymeric and composite materials in practical contexts.
Communication skills: being able to present, both in writing and orally, the characteristics and properties of polymeric and composite materials and the characterization techniques used.
Learning ability: being able to gather information from textbooks and other sources to autonomously deepen knowledge about polymeric and composite materials and their applications.

MODULE II - -- -
NUMERICAL THERMO-FLUID DYNAMICS

MAURO SCUNGIO

First Semester6ING-IND/10eng

Learning objectives

The objective of the course is to provide the knowledge and skills for the analysis of thermo-fluid dynamic problems in engineering by means of the CFD (Computational Fluid Dynamics) technique. In the first part of the course, the basic theoretical aspects related to the thermo-fluid dynamics governing equations will be addressed, together with the discretization methods of the governing equations and the numerical techniques for their solution. The concepts of stability, consistency, convergence and accuracy will be then illustrated in order to address the solution analysis. Finally, some practical guidelines on CFD simulation will be illustrated. Part of the course will be dedicated to the analysis of simple CFD problems of laminar and turbulent flows using dedicated CFD software.
The students will be able to apply the CFD technique in original ways, even in a research and/or interdisciplinary contexts, and then for the solution of unknown or not familiar problems. Students will have the ability to handle the complexity of computational thermo-fluid dynamic problems even with incomplete data and will be able to formulate judgements on them. In addition, students will have the skills to communicate the information relative to the analysed problems, to their knowledge and their solution to specialist and non-specialist audience.
Knowledge and understanding: to understand the fundamental principles of numerical thermo-fluid dynamics. To know the methods of discretization and solution of the governing equations with numerical techniques. To acquire the basic knowledge for performing numerical CFD simulations.
Applying knowledge and understanding: by carrying out case studies, the student will be encouraged to develop an applicative skills on the methodologies and techniques acquired.
Making judgments: to be able to apply the acquired knowledge to solve simple application problems of numerical thermo-fluid dynamics.
Communication skills: knowing how to present, both in written and oral form, simple problems and possible solutions of thermo-fluid dynamics using numerical techniques.
Learning skills: knowing how to collect information from textbooks and other material for the autonomous solution of problems related to numerical thermo-fluid dynamics.

Teacher's Profile

courseProgram

Introduction (what is CFD, how does CFD work);
Conservation laws (governing equations) of fluid motion and boundary conditions;
Turbulence and its modelling;
The finite volume method for diffusion problems;
The finite volume method for convection-diffusion problems;
Solution algorithms for pressure-velocity coupling in steady flows;
Solution of discretised equations;
The finite volume method for unsteady flows;
Implementation of boundary conditions;
Errors and uncertainty in CFD modelling;
Lab activities.

examMode

The exam evaluation consists in the discussion of a homework, to be carried out on the basis of numerical applications addressed in the classroom, and in an oral test. The oral test consists of a series of questions that focus on the notions dealt in the theoretical lessons.
The exam will also test the student communication skills and his autonomy in the organization and exposure of the theoretical topics.

books

Reference book:
H. K. Versteeg and W. Malalasekera. An Introduction to Computational Fluid Dynamics – The finite volume method. Pearson

Slides from classes

Other books:
J. Tu, G.-H. Yeoh, C. Liu, Computational Fluid Dynamics: A Practical Approach - Butterworth-Heinemann (2013)
J. D. Anderson Jr, Computational Fluid Dynamics, The Basics with Applications - McGraw-Hill (1995)

mode

The module is divided between theoretical lessons (30 hours) and exercises (18 hours). The theoretical lessons are mainly provided by means of slides.
The exercises are related to the solution of problems based on the theoretical principles addressed in the lessons.

classRoomMode

Attendance of the lessons is not mandatory. However, it is recommended to follow the lessons in the classroom or remotely when available.

bibliography

J. Tu, G.-H. Yeoh, C. Liu, Computational Fluid Dynamics: A Practical Approach - Butterworth-Heinemann (2013)
J. D. Anderson Jr, Computational Fluid Dynamics, The Basics with Applications - McGraw-Hill (1995)
P. Moin, Fundamentals of Engineering Numerical Analysis, Cambridge Univ. Press, (2010)
J. H. Ferziger and M. Peric, Computational Methods for Fluid Dynamics, Springer Verlag, (2001)
W. Shyy et al, Computational Fluid Dynamics with Moving Boundaries, Dover Publications, (2007)

119555 - MACHINE DESIGN

PIERLUIGI FANELLI

Second Semester 9ING-IND/14eng

Learning objectives

The course is the continuation of the courses of "Mechanical Design and Construction of Machines" given during the first degree in Industrial Engineering. Teaching is aimed at completing the student's preparation in the typical topics of the field and enables him to acquire the skills described below.
EXPECTED LEARNING RESULTS
- Knowledge and Understanding Capabilities: Advanced knowledge on calculation, design and verification of mechanical structures and mechanical components where stress and deformation states are biaxial or triaxial, stressed both in elastic and over-stress and subjected to thermal fields, by using either theoretical-analytical methods or numerical methods.
- Applying Knowledge and Understanding: Ability to design and / or verify structural elements and mechanical groups of industrial interest, ensuring their suitability for service also in reference to sectoral regulations.
- Making Judgment: To be able to interpret sizing results and to prepare the structural optimization of it.
- Communication Skills: Being able to describe scientific issues related to mechanical design and technical drawing in written and oral form.
- Learning Skills: Advanced knowledge on calculation, design and verification of mechanical structures and mechanical components where stress and deformation states are biaxial or triaxial, stressed both in elastic and over-stress and subjected to thermal fields, by using either theoretical-analytical methods or numerical methods.

Teacher's Profile

courseProgram

Mechanical behavior of materials in presence of plastic deformation. Approximate methods of calculating plastic deformations. Viscous deformation.
Mechanical linear elastic fracture. Intensity factor. Condition of collapse. Extension to small plasticisation. Fracture mechanics and fatigue. Paris law.
Analysis of stresses in the rotors. Discs stressed in linear elastic field. rotating cylinders stressed in linear elastic field. stressed disks over the yield strength. cylindrical solids subjected to pressure and to temperature gradient along the thickness. solid cylindrical thin-walled stressed in the elastic range. cylindrical solid thick wall stressed in the elastic range. cylindrical solids in thick wall subject to internal pressure and stressed beyond the yield strength
Analysis of stresses in thin walls plates and shells. Rectangular plates. Circular plates. Shell structures. Generality and theory of the membrane for a revolution shell. Correlation between load characteristics and stress characteristics in a shell structure and between the characteristics of the deformation and curvature and torsion of the surface. Revolutionary shells axial symmetrically loaded: membrane theory. Various cases of differently loaded revolution shells. General theory of cylindrical shell. Problems of flexural interaction in pressure vessels.

examMode

The assessment will focus on a written test of an applicative nature that consists of the resolution of exercises, and an oral test that will evaluate the student's theoretical preparation, and the evaluation of exercises and an optional practical test.
During the course will be carried out exercises of both applicative and in-depth and integrative of the program.
During the course the teacher will assign the optional personal exercises that the student will be able to show during the oral examination and which will be worth an additional evaluation (+ 3 / -3 points) on the grade of the written exam.

books

- Professor slides
- D. Broek - "The Practical Use Of Fracture Mechanics", Kluwer Academic Publishers, 1988
- V. Vullo, F. Vivio, "Rotors: Stress Analysis and Design", Springer Verlag, 2012;
- V. Vullo, " Circular Cylinders and Pressure Vessels. Stress Analysis and Design", Springer Verlag, 2014;
- S.P. Timoshenko, S. Woinowsky - Krieger, "Theory of Plates and Shells", McGraw- Hill Book Co., Singapore, 1959 (T)

mode

Classroom lectures, presentations with graphic illustrations. Individual works. Classroom exercises 9h.
At distance: moodle, google docs.

classRoomMode

Attendance of the lessons is not mandatory. However, it is recommended to follow the lessons in the classroom or remotely, when available.

bibliography

- Professor slides
- V. Vullo, F. Vivio, "Rotors: Stress Analysis and Design", Springer Verlag, 2012;
- V. Vullo, " Circular Cylinders and Pressure Vessels. Stress Analysis and Design", Springer Verlag, 2014;
- S.P. Timoshenko, S. Woinowsky - Krieger, "Theory of Plates and Shells", McGraw- Hill Book Co., Singapore, 1959 (T)

119559 - UNCONVENTIONAL TECHNOLOGIES AND MANUFACTURING

EMANUELE MINGIONE

Second Semester 9ING-IND/16eng

Learning objectives

The aim of the course is to present machining systems, with particular attention to material-removing ones. In addition, the programming methods for numerical control machines and non-conventional machining will be discussed.
The student is expected to acquire accurate knowledge of the main technologies and special processing systems adopted in industry. In particular, the student is expected to develop the ability to analyse production systems, with particular reference to stock-removing ones, from the planning and optimization point of view. The complexity of production systems will be described and analysed to evaluate their performances, through the relevant indicators such as system resources utilization coefficients, production rate, throughput time, etc.
Expected learning outcomes:
1) Knowledge and understanding: knowledge of material-removing machining and production cycles for a mechanical component.
2) Applying knowledge and understanding: knowledge of the basic optimization techniques of fabrication cycle of material-removing machining, in order to identify and design the production phases and process parameters.
3) Making judgements: knowledge of the main issues related to the production of a mechanical component.
4) Communication skills: preliminary plan of stock-removing operations, programming in machine language.
5) Learning skills: drawing up the manufacturing cycles of mechanical components and their economic evaluation.

Teacher's Profile

courseProgram

Recalls and insights of mechanical cutting: mechanical cutting, tool geometry, sizing tool, tool wear and Taylor Law.
Processing for chip removal: references and insights of turning; study of milling processes and rectilinear motion machining.
Optimization of chip removal processes: single pass processing, multistep processing, multistage processes.
CNC machines: introduction, evolution of the control, the basic components of a CNC tool machine, machining centers. Programming of numerically controlled machine tools: introduction, point to point numerical control, paraxial CNC, continuous CNC, axis nomenclature, automatic programming of machine tools.
Machining unconventional: Water-Jet Machining, Ultrasonic Machining. Electrical-Discharge Machining, Laser Beam Machining, laser Assisted Machining, Electron Beam, Machining, Plasma-Arc Cutting.

examMode

A mandatory oral exam (lasting 1 hour) + assessment of the project assigned to students in the last part of the course.
The oral exam begins with a discussion of the assigned project, followed by an assessment of the student's knowledge of the other parts of the program.
The exam verifies that the student has acquired familiarity with manufacturing cycles and the related optimization criteria. To this end, questions are also asked about hypothetical manufacturing cycles of real mechanical components, not necessarily covered in class in detail. the student's interpretation demonstrates the degree of familiarity acquired with the main technologies and special processing systems widely used in the industrial sector. In particular, the student must develop the ability to analyze production systems from the perspective of their planning and optimization and, finally, must provide an assessment of the performance of these systems through significant indicators.

books

Sergi Vincenzo, Produzione assistita da calcolatore, editore: Cues
Gabrielli F., Ippolito R., Micari F., Analisi e tecnologia delle lavorazioni meccaniche, editore McGraw-Hill Companies.
F. Giusti, M. Santochi, Tecnologia Meccanica e studi di Fabbricazione, Ed. Ambrosiana Milano.
Serope Kalpakjian, Manufacturing Engineering and Technology, Addison-Wesley Publishing Company

mode

The course is divided into 60 hours of lectures and 12 hours of classroom practice. The theoretical notions are explained to the students during the lectures, by means of audio-visual aids and the blackboard. During the exercises the student will apply the theoretical notions to case studies related to the topics addressed during the course.

classRoomMode

Lessons are optional

bibliography

Sergi Vincenzo, Produzione assistita da calcolatore, editore: Cues
Gabrielli F., Ippolito R., Micari F., Analisi e tecnologia delle lavorazioni meccaniche, editore McGraw-Hill Companies.
F. Giusti, M. Santochi, Tecnologia Meccanica e studi di Fabbricazione, Ed. Ambrosiana Milano.
Serope Kalpakjian, Manufacturing Engineering and Technology, Addison-Wesley Publishing Company

MODULE II - -- -
INTERNSHIP AND SEMINARS - OTHER ACTIVITIESFirst Semester9eng
BIOMECHANICS LABORATORY

JURI TABORRI

First Semester3eng

Learning objectives

The objective of the biomechanics laboratory is to provide the student with the basic concepts of biomechanics, through theoretical and practical lessons. In particular, the student will know the instruments and methods for measuring human movement. Furthermore, the use of calculation software for the resolution of biomechanical models is an integrated part of the educational objectives.
The expected results according to the Dublin descriptors are the following:
- Knowledge and understanding: Know the definitions of biomechanics, understand the functioning of instruments for measuring human movement, know the Matlab programming language for solving biomechanical models.
- Ability to apply correct knowledge and understanding: Have an understanding of the scientific approach in the field of measurements for biomechanics. Have the ability to autonomously carry out a measurement of human movement.
- Judgment skills: The student will be able to evaluate the most suitable equipment to use for measuring a given movement.
- Communication skills: The student will acquire the skills to be able to argue during the exam the measurement concepts related to biomechanics and the terminology to describe a human movement
- Ability to learn: The student will acquire the skills to be able to deepen the study of advanced tools for biomechanics and the use of Matlab for the resolution of biomechanical models.

Teacher's Profile

courseProgram

The detailed program is as follows:
- Topic 1 (6h): basic concepts of biomechanics, kinematics, rototranslation matrices, definition of reference systems, Euler/Cardan sequences, anatomical joints, non-optimal localization
- Topic 2 (4h + 6h): optoelectronic systems, operating principles, acquisition procedure, processing procedure. Practice: data acquisition with VICON system, processing, analysis with matlab
- Topic 3 (2 h + 2h): electromyography, surface emg, muscle synergies, operating principles, acquisition procedure, processing procedure - Practice: data analysis with matlab
- Topic 4 (2h + 2h): posturography, pressure matrix, operating principles, acquisition procedure, processing procedure. Practice: data analysis with matlab

examMode

The student's preparation is evaluated through the discussion of technical reports of the practical activities carried out during the course. Eligibility is achieved with a vote of 18/30.

books

For the achievement of the exam, it is sufficient the materials provided by the teacher and uploaded on moodle.

mode

The course is divided into four teaching units, of which 12 hours of laboratory and 12 hours of theoretical lessons. The theoretical notions are illustrated to the students during the frontal lessons, using audio-visual aids and the blackboard. The laboratory exercises include an introductory explanation and a practical experience to be carried out using the available instrumentation and the matlab programming software.

classRoomMode

The attendance is mandatory for the laboratories' activity

bibliography

Slides provided by teacher

ITALIAN LANGUAGE - PRE-INTERMEDIATE/INTERMEDIATE

ERIKA CIVERO

First Semester3ita

Learning objectives

The course aims to provide students with the knowledge and skills needed to handle more complex interactions in everyday and academic situations. The first part of the course will delve into theoretical aspects related to the four language skills (listening, reading, speaking, and writing) to achieve a B1 level according to the Common European Framework of Reference for Languages. Subsequently, more complex communication scenarios and case studies will be analyzed, such as participating in conversations on less predictable topics.
Students will be able to apply their language skills in an original and critical manner, even in more complex and interdisciplinary contexts. They will be able to understand more detailed texts, make judgments about communicative situations, and manage dialogues independently, demonstrating confidence and flexibility.
Knowledge and Understanding: Understanding more complex language structures and interaction modes in various contexts, including work and study.
Applied Knowledge and Understanding: Through practical exercises and simulations of more detailed conversations, students will develop the ability to manage interactions in different contexts, focusing on coherence and clarity of communication.
Judgment Autonomy: Being able to make informed judgments about the effectiveness of their interactions and communication strategies used.
Communication Skills: Being able to present, both in writing and orally, more complex topics and participate in discussions on familiar and unfamiliar themes.
Learning Ability: Being able to independently deepen language knowledge through various sources, including specialized texts and online materials.

INTERNSHIP AND SEMINARS - OTHER ACTIVITIESFirst Semester3ENG
INTERNSHIP AND SEMINARS - OTHER ACTIVITIESFirst Semester6ENG
TECHNIQUES FOR MATERIALS CHARACTERISATION

CLAUDIA PELOSI

First Semester3eng

Learning objectives

The laboratory aims to provide second-level students with the knowledge and skills necessary to tackle the characterization of materials relevant to mechanical engineering, such as metals, alloys, composites, polymers, and new materials. In the first part of the course, the main spectroscopic and imaging techniques used for material studies will be addressed, along with the theoretical principles underlying these techniques. Subsequently, the experimental results obtained through these methodologies will be analyzed, discussing their significance and practical application. A portion of the course will be dedicated to laboratory exercises where students will apply the studied characterization techniques to concrete case studies.
Students will be able to apply the characterization techniques in an original manner, even in research and/or interdisciplinary contexts, contributing to the resolution of problems related to material studies. They will be able to critically interpret experimental data and make informed judgments.
Knowledge and understanding: understanding the main material characterization techniques, particularly spectroscopic and imaging techniques, and knowing the principles that govern them.
Applied knowledge and understanding: through practical exercises, students will develop the ability to apply the acquired techniques to the characterization of various materials and interpret the results.
Independent judgment: being able to independently evaluate the experimental results obtained and apply the acquired knowledge to solve complex problems related to material characterization.
Communication skills: being able to present, both in written and oral form, the results of experimental analyses and their significance, making them understandable to both specialists and non-specialists.
Learning ability: being able to gather information from scientific sources and specialized texts to autonomously deepen knowledge about material characterization techniques.

Teacher's Profile

courseProgram

Spectroscopy for the analysis of materials, fundamental principles and quantities. Non-invasive and micro-invasive elementary spectroscopies. Molecular spectroscopies. Non-invasive imaging techniques for the study of materials. Multispectral and hyperspectral techniques.

examMode

Preparation of a mini review on a topic indicated by the teacher or chosen by the student from those reported in the textbook. In the mini review the student must provide a brief summary taken from the scientific articles found on the topic and the bibliography consulted. A maximum of ten (10) papers must be used. The mini review will be evaluated as an exam and will be awarded suitability or otherwise if deemed sufficiently exhaustive. The work will be send by email before the date of the exam (pelosi@unitus.it)

books

Surender K Sharma, Dalip S verma, Latif U Khan, Shalendra Kumar, Sher B Khan, Handbook of Materials Characterization, Springer International Publishing, 2018, ISBN: 978-3-319-92955-2.

mode

The course takes place in the classroom with frontal lessons and with individual work that the students will carry out in libraries and on-line.
The hours will be organized as follows:
- 12 hours lessons
- 12 hours practical training

classRoomMode

Attendance at the course is not mandatory although it is recommended to follow the practical traning

bibliography

- Kelly Morrison, Characterisation Methods in Solid State and Materials Science, IOP Publishing, Bristol, UK, 2019, DOI: DOI 10.1088/2053-2563/ab2df5

- Euth Ortiz Ortega, Hamed Hosseinian, Ingrid Berenice Aguilar Meza, María José Rosales López, Andrea Rodríguez Vera, Samira Hosseini, Material Characterization Techniques and Applications, Springer Singapore, https://doi.org/10.1007/978-981-16-9569-8. Available as ebook.

MODULE II - -- -
NEW MATERIALS FOR ENERGY

FLAVIO CRISANTI

First Semester6FIS/07eng

Learning objectives

The course aims at introducing the students to a general knowledge of the materials fundamental properties, linking them with the lattice structures and properties. The main structural differences among dielectrics, metals and semiconductors will be analysed. In particular the most important materials for the Nuclear Fusion (steels and superconductors). Moreover, the course aims at providing a good enough knowledge to design control systems for dynamic processes.
The expected learning results are: (i) the knowledge of the theoretical contents of the course (Dublin descriptor n°1), (ii) the competence in presenting technical argumentation skills (Dublin descriptor n°2), (iii) autonomy of judgment (Dublin descriptor n°3) in proposing the most appropriate approach to argue the request and (iv) the students' ability to express the answers to the questions proposed by the Commission with language properties, to support a dialectical relationship during discussion and to demonstrate logical-deductive and summary abilities in the exposition (Dublin descriptor n°4).

SUBJECTSEMESTERCFUSSDLANGUAGE
MODULE II - -- -
ENVIRONMENTAL MONITORING FOR ENGINEERING DESIGN

ANDREA LUIGI FACCI

Second Semester9AGR/08eng

Learning objectives

The course aims at enhancing the comprehension of natural environmental processes and at introducing major traditional and remote environmental sensing techniques. The course provides concepts and methodologies to address engineering design in context where monitoring major environmental variables is necessary.
The course aim is the knowledge of hydrological processes monitoring. Specifically, the course will focus on instrumentations and sensing techniques useful for observing environmental parameters.
It is possible to identify three main aims:
1. Refresh of notions about hydrological processes and their modelling, with particular emphasis of river discharge and precipitations.
2. Learning about instruments and sensing techniques for hydrological observations.
3. Learning and applying innovative approaches based on image analysis.
Expected outcomes following the Dublin descriptors:
Knowledge and understanding: hydrological phenomena, specifically, rainfall and runoff formation. Common practice of data collection and measurements in hydrology.
Applying knowledge and understanding: the concepts with a more technical and applicative implication (tools and approaches for the measurement and estimation of hydrological variables) will be consolidated through both traditional (exercises) and advanced (small experiments to be developed independently) practical labs.
Making judgements - Communication skills - Learning skills: students will be asked to develop a project that, in addition to providing a practical example for estimating river flow velocity, will allow them to investigate on the role of the image analysis. The project will be assigned without a rigid scheme, students will be invited to identify a scientific question on which they can investigate with the software application. During the project they will identify the answer to the scientific question and motivate their conclusions. Setting small groups and interacting with the lecturer will stimulate Making judgements - Communication skills - Learning skills under the hydrological perspective.

Teacher's Profile

courseProgram

1) Air Pollution:
a) Definition of the main air pollutants
b) Emission sources and pollutant formation mechanisms
c) Pollutant abatement systems
d) Dispersion of pollutants in the atmosphere
2) Thermal pollution
3) Noise pollution

examMode

The exam consists of an oral exam and a homework. The homework is mandatory for the oral exam.

The homework is individual and consists of personal research and in-depth analysis on one of the topics covered during the course. Methodology, numerical results, literature analysis, and presentation will be evaluated. The minimum grade for admission to the oral exam is 15/30.

The oral exam is designed to assess the student's level of knowledge and understanding (superficial, appropriate, precise and complete, complete and in-depth) of the topics covered during the course. The final grade is the average of the scores from the written and oral exams.

books

Teacher's handouts

classRoomMode

Non-mandatory lectures and exercises

NUCLEAR FUSIONSecond Semester9ING-IND/31eng

Learning objectives

The course will provide the basics necessary to physical (module II) and engineering (module I) understanding of fusion nuclear energy systems covering topics from magnetic confinement and plasma physics to plasma surface interaction, reactor materials, control systems and mechanics. The main objectives are (a) knowledge and key aspects of engineering, technology and physics associated with the ' magnetic fusion energy, (b) identification of the main features nuclear fusion tokamak devices , (c) knowledge of the state of the international research (JET, EAST, ASDEX) and perspectives of fusion nuclear energy (next experimental machines as DTT, ITER and DEMO).
The expected learning results are: (i) the knowledge of the theoretical contents of the course (Dublin descriptor n°1), (ii) the competence in presenting technical argumentation skills (Dublin descriptor n°2), (iii) autonomy of judgment (Dublin descriptor n°3) in proposing the most appropriate approach to argue the request and (iv) the students' ability to express the answers to the questions proposed by the Commission with language properties, to support a dialectical relationship during discussion and to demonstrate logical-deductive and summary abilities in the exposition (Dublin descriptor n°4).

MODULE II - -- -
NON DESTRUCTIVE TESTING AND EVALUATION

JURI TABORRI

Second Semester6ING-IND/12eng

Learning objectives

The class mainly aims at providing both theoretical and practical knowledges on non-destructive methods used in the industrial field.
Considering the Dublin Descriptors, the expected results will be:
1. Knowledge and understanding: Students will acquire theoretical knowledges on the different types of non-destructive testing, as well the ability to understand scientific report of the tests and technical datasheet of the instruments used for the test application.
2. Applying knowledge and understanding: Students will be able to manage hardware and software elements of the measurement systems. A full insight into the UNI EN ISO 9712 standards concerning the risks related to the practical application of the procedure will be acquired.
3. Making judgements: Students will be able to select the most suitable approach based on thea specific application., as well they will be able to write down scientific reports on the outcomes of non destructive tests.
4. Communication skills: Students will acquire the ability to be able to discuss the different techniques with appropriate language both from a tehcnical and regulatory point of view during the exam.
5. Learning skills: Students will acquire the mandatory basic skills to be able to autonomously deepen the advanced study of innovative non-destructive tests.

Teacher's Profile

courseProgram

Topic 1. Introduction to non-destructive testing (5h)
Introduction to the course. Definition of non-destructive method. Historical notes on non-destructive measures. Differences between destructive and non-destructivemethods. Classification of non-destructive method.
Topic 2. The classification of discontinuities (3h)
Types of discontinuity. Nomenclature of discontinuities. Cracks. Discontinuity due to welding. Discontinuity due to plastic deformation. Corrosion. Stress fractures. Effects of fragility. Geometric discontinuities.
Topic 3. Visual inspection (3h)
Theory and principles. Instrumentation. Techniques. The remote visual controls. Applications based on discontinuities. Advantages and disadvantages. Drafting Report. Reference legislation.
Topic 4. Controls with penetrant liquids (5h)
Theory and principles. Instrumentation. Penetrating materials. Procedure and techniques. Advantages and disadvantages. Reference legislation.
Topic 5. Controls with magnetic particles (5h)
Theory and principles. Instrumentation. Techniques. Applications. Advantages and disadvantages. Drafting Report. Reference legislation.
Topic 6. Radiographic controls (8h)
Theory and principles. Instrumentation. Techniques. Applications. Digital radiography. Advantages and disadvantages. Reference legislation. In-depth study: radiography in the biomedical field.
Topic 7. Controls with ultrasound (6h)
Theory and principles. Instrumentation. Techniques. Applications. Advantages and disadvantages. Reference legislation In-depth analysis: ultrasounds for thickness gauge checks of LPG tanks.
Topic 8. Controls with eddy currents (4h)
Theory and principles. AC. Instrumentation. Techniques. Applications. Advantages and disadvantages. Reference legislation. Notes on other electromagnetic tests.
Topic 9. Thermographic checks (3h)
Theory and principles. Instrumentation. Techniques. Applications. Advantages and disadvantages. Reference legislation.
Topic 10. Aucoustic emmision controls (4h)
Theory and principles. Instrumentation. Techniques. Applications. Advantages and disadvantages. Reference legislation. In-depth study: the acoustic emission for structural integrity checks of LPG tanks.

examMode

The exam is a written test and it will contain two questions aimed at evaluating the students' theoretical knowledge of the main topics covered during the course from the point of view of methodology, sensors and the ability to analyze the context indicating the most appropriate methodology to applied, in line with the training objectives. In addition, an optional oral exam can be done on the practical laboratory tests.
The student will be assessed as sufficient starting from a final score equal to or greater than 18/30. An evaluation is sufficient when:
1. The student demonstrates a sufficient preparation on the theoretical knowledge of the various non-destructive methodologies;
2. The student demonstrates ability in reading technical manuals;
3. The student demonstrates competence in the management of hardware and software devices for the execution of the test;
4. The student demonstrates the ability to judge which method is the most appropriate based on the application;
5. All of the above skills and competences are demonstrated using appropriate technical language.

books

Material provided by teacher during lessons is sufficient to pass the exam.
Suggested books are:
AIM – “Le prove non distruttive” – Associazione Italiana di Metallurgia
Charles J. Hellier, “Handbook of Nondestructive Evaluation, Third Edition”, McGraw-Hill 2013

mode

Lectures and laboratory activites.

classRoomMode

Attendance is strongly recommended, but not mandatory.

bibliography

Charles J. Hellier, “Handbook of Nondestructive Evaluation, Third Edition”, McGraw-Hill 2013

MODULE II - -- -
VIRTUAL PROTOTYPING

MARCO MARCONI

Second Semester6ING-IND/15eng

Learning objectives

The course aims to provide to the students the following learning outcomes:
- to present methods and tools for the geometrical modelling and simulation
- to illustrate methods and tools for the creation and use of virtual prototypes to be used during the design and validation, as well as along the whole product lifecycle.7
- to illustrate innovative and standard techniques and technologies for the interaction with the virtual prototype.
- to face the issues related to virtual modelling in specific application contexts and related to the use of innovative industrial design technologies.
Expected learning outcomes:
1. Knowledge and understanding: to know the most relevant themes about solid and surface modelling; to know the role of virtual prototypes in the product development process; to know the most relevant tools to support the design and management of the product life cycle
2. Applying knowledge and understanding: to be able to use solid modelling and virtual prototyping tools; to be able to use design for X techniques; to be able to use life cycle design and management techniques
3. Making judgements: to be able to choose the most appropriate virtual prototyping tools to support the different product development phases
4. Communication skills: to demonstrate expertise on subjects related to virtual prototyping; to know and be able to correctly use the language and terminologies to communicate orally or in written form a project realized by using virtual prototyping techniques
5. Learning skills: to be able to autonomously use tools and methods related to virtual prototyping.

Teacher's Profile

courseProgram

- The design phase: methods and tools
- Formal methods for the industrial product design
- The systematic product desin process
- Methods and technoques for product representation
- Modelling and representation techniques for solid bodies and surfaces
- Geometrical modelling tools
- Virtual prototypes and simulation techniques
- Finite element modelling and simulation
- Finite element tools
- Methods and tools for Design for X
- Life Cycle Thinking and Design
- Life Cycle Assessment

examMode

The exam will be organized in two different tests:
- a practical exam consisting in the development of a design project by applying one or more design/simulation methods/tools explained during the course to evaluate the acquired knowledge, the capacity to use this knowledge and the student autonomy
- an oral exam to verify the theoretical preparation of students about all the topics explained during the course and the ability to communicate the acquired knowledge

books

Teaching material distributed by the teacher

mode

Frontal lessons: 32 hours
Exercises: 16 hours

classRoomMode

The attendance is optional

bibliography

- Pahl G., Beitz W., Feldhusen J. Grote G.H., 2007, "Engineering Design: A systematic Approach", 3rd Edition, Springer.
- Bordegoni M., Rizzi C., 2011, "Innovation in Product Design: From CAD to Virtual Prototyping", 1st Edition, Springer.
- Goldman R., 2009, "An integrated Introduction to Computer Graphics and Geometric Modeling", CRC Press.
- Belingardi G., 1999, "Il Metodo degli Elementi Finiti nella Progettazione Meccanica”, Levrotto&Bella.
- Chen X., Liu Y, 2014, “Finite Element Modeling and Simulation with ANSYS Workbench”, CRC Press.
- Kurz M., 2007, “Environmentally Conscious Mechanical Design", Wyley.
- Ashby M., 2010, "Materials Selection in Mechanical Design", Butterworth-Heinemann

HYDROGEN TECHNOLOGIES

STEFANO UBERTINI

Second Semester6ING-IND/08eng

Learning objectives

The course aims to give the students fundamental concepts and applicative knowledge of hydrogen technologies, covering all the steps of the value chain: production, storage and final use. Both conventional and innovative technologies are discussed to give the students the basic skills required to work in the hydrogen sector.
In particular, at the end of the course the student is expected to have the following knowledge:
- knowledge of hydrogen production systems
- knowledge of hydrogen storage systems
- knowledge of hydrogen final uses
Furthermore, at the end of the course the student is expected to have the following skills:
- ability to outline schemes and processes of thermochemical hydrogen production plants
- ability to choose renewable hydrogen production systems based on the type of application
- ability to choose hydrogen storage systems based on the production method and final use
- ability to analyze hydrogen final-use scenarios
Expected learning outcomes:
Knowledge and understanding: understand the fundamental principles associated with the techno-economic analysis of hydrogen systems.
Applying knowledge and understanding: by carrying out case studies, the student will be encouraged to develop an applicative skills on the methodologies and techniques acquired.
Making judgments: being able to apply the acquired knowledge to solve simple problems in the techno-economic analysis of hydrogen systems.
Communication skills: knowing how to explain, both in written and oral form, the problem and possible solutions to simple situations concerning the techno-economic analysis of hydrogen systems.
Learning skills: knowing how to collect information from textbooks and other material for the autonomous solution of problems related to the verification of hydrogen systems.

Teacher's Profile

courseProgram

HT.1 Hydrogen Production:
HT1.1 Thermochemical Hydrogen Production: Industrial Hydrogen Production from Hydrocarbon Fuels and Biomass, Small-Scale Reforming for On-Site Hydrogen Supply, Fuel Processing for Utilization in Fuel Cells and other devices
HT1.2 Water Electrolysis: Electrolysis Systems for Grid Relieving, Status and Prospects of Alkaline Electrolysis, Dynamic Operation of Electrolyzers – Systems Design and Operating Strategies, Stack Technology for PEM Electrolysis, Reversible Solid Oxide Fuel Cell Technology for Hydrogen/Syngas and Power Production
HT1.3 Other Production Methods
HT.2 Hydrogen Storage: Physics of Hydrogen
HT2.1 Compressed and Liquid Hydrogen Storage: Thermodynamics of Pressurized Gas Storage, Geologic Storage of Hydrogen – Fundamentals, Processing, and Projects, Bulk Storage Vessels for Compressed and Liquid Hydrogen, Hydrogen Storage in Vehicles, Cryo-compressed Hydrogen Storage, Hydrogen Liquefaction
HT2.2 Metal Hydrides Hydrogen Storage: Hydrogen Storage by Reversible Metal Hydride Formation, Implementing Hydrogen Storage Based on Metal Hydrides
HT2.3 Other Hydrogen Storage Techniques: Transport and Storage of Hydrogen via Liquid Organic Hydrogen Carrier (LOHC) Systems
HT.3 Final uses of Hydrogen:
HT3.1 Stationary: Hydrogen Hybrid Power Plant, Wind Energy and Hydrogen Integration Projects, Hydrogen Islands – Utilization of Renewable Energy for Autonomous Power Supply, Gas Turbines and Hydrogen
HT3.2 Mobility: Transportation/Propulsion/Demonstration/Buses: The Design of the Fuel Cell Powertrain for Urban Transportation Applications, Refueling Station Layout
HT3.3 Industrial Usage of Hydrogen

examMode

The exam will consist of a written exam and, if needed, an oral exam just after the written one.
During the semester the assignment of homework with evaluation is foreseen, which will be discussed during the oral exam.
The written exam will consist of at least 3 questions through which the teacher can evaluate the learning level of the topics covered in the course and the student's ability to solve practical / design problems.

classRoomMode

Attendance of the course is optional

MODULE II - -- -
MACHINES FOR BIOSYSTEMS

MASSIMO CECCHINI

Second Semester6AGR/09eng

Learning objectives

The student will acquire the basic skills to develop the mechanization of the operations of the main agricultural, forestry and green maintenance sites.
In particular, he will be able to choose suitable machines for quality work (knowing materials, operating modes) and respecting constraints on mechanization (economic, environmental, safety, etc.).
Expected learning outcomes:
• Knowledge and understanding skills: the student will acquire knowledge and understanding about the principles underlying the design and operation of machines and plants and know how to introduce them into agricultural, forestry and green maintenance sites, while respecting various constraints.
• Ability to apply knowledge and understanding: the student will acquire the skills to apply the theoretical knowledge of the topics dealt in the course with a critical sense for the identification of individual machines, a park of machinery or plant for agricultural, forestry and green maintenance yards.
• Autonomy of judgment: the student will be able to select specific machines and plants suitable for the various types of agricultural, forestry and green maintenance sites, in an objective way, without letting them be influenced by the machine manufacturers and also respecting the social, scientific or ethics related to each decision of mechanization.
• Communicative Skills: the student will be able to communicate machine and plant information and their technical and economic requirements to third parties (employers, clients such as farms, forestry companies, etc.), motivating their choices.
• Learning ability: the articulation of the course will be developed in such a way as to convey to the students at first the "transversal" basic concepts, regarding any type of machine. Next, individual types of machines will be treated (most commonly in agricultural, forestry and green maintenance sites). The topics will be dealt with in order to stimulate the will to learn, in the logic of gradually developing knowledge, from mechanical materials and principles, to building and safety aspects, to machine management. The same logic is required in the creation of a textbook or presentation that will be taken into account in the assessment of learning.

Teacher's Profile

courseProgram

Presentation of the course. Objectives of mechanization for biosystems. Definition of machine and plant. (4 h)
Levels of mechanization and evolution of mechanization for biosystems. (2 h)
Basic concepts of mechanics and physics applied to machinery (grip, longitudinal and transversal stability). (6 h)
General and functional characteristics of the main categories of machinery for biosystems: agricultural and forestry tractors; machines for ground working; construction equipment; machines for cultivation and for planting; machines for care and protection; harvesting machines; machines for cutting and sawing; machines for delimbing and debarking; machines for shredding and chopping; machines for transport and load; winches; cableways. (12 h)
Concept of work capacity and efficiency of a machine. Machine's management. (4 h)
Concepts of safety: the Machinery Directive and Regulation. (6 h)
Concepts of hygienic risk: assessment and prevention of occupational diseases. (10 h)
Concepts of ergonomics: the man-machine and man-workplace relation. (8 h)

examMode

The oral exam will be aimed at evaluating the basic knowledge of the physical technologies used in the main types of machines and plants for biosystems. In particular, the candidate must demonstrate to have acquired a good knowledge of the technical and organizational aspects necessary for a correct choice and management of the machines.
The candidate, in the context of flipped classroom, will illustrate a specific machine, previously assigned, by means of a Power Point presentation in the classroom. In particular, it must report on: - description of the machine (constituent parts, materials used, principle of operation); - safety aspects in the use of the machine; - management costs. Two other questions will go over the whole course program. The presentation and the two questions will be evaluated with a score from 0 to 10. The final score will be given by the sum of the three individual scores.
For the attribution of the score, the level of knowledge of the contents shown and the ability to apply the concepts learned will be taken into account; synthesis and language properties will also be taken into consideration.

books

Lesson notes.
P. Biondi, Meccanica agraria - Le macchine agricole, UTET, 1999 Torino.
P. Amirante, Lezioni di meccanica agraria
G. Hippoliti, Appunti di meccanizzazione forestale, Società Editrice Fiorentina, 1997 Firenze.

classRoomMode

Attendance of the lessons is not mandatory. However, it is recommended to follow the lessons in the classroom or remotely, when available.

bibliography

https://www.researchgate.net/publication/296189205_Lezioni_di_Meccanica_Agraria
https://www.researchgate.net/publication/296192148_Lezioni_di_Meccanica_Agraria_vol_2
https://www.researchgate.net/publication/296191980_Lezioni_di_Meccanica_Agraria_vol_3

BIOENERGYSecond Semester3ING-IND/11ENG

Learning objectives

The course intends to prepare students with knowledge on the main biological bioconversion processes of organic substance. It involves the study of biotechnological processes in applications aimed at energy production. The student will have the opportunity to learn the possible factors affecting bioprocesses, learning to evaluate the appropriate conditions in setting up bioprocesses in a context of environmental sustainability. Finally, the student will be able to communicate with technical-scientific terminology the dynamics occurring during the development of bioprocesses.
Knowledge and understanding: comprehend the fundamental principles of bioconversion processes and biotechnological techniques applied to energy production. Understand the factors that influence bioprocesses and the optimal conditions for their setup in an environmentally sustainable context.
Applied knowledge and understanding: through case studies, the student will be encouraged to develop practical skills in bioprocesses, evaluating the influence of various factors and optimizing operational conditions.
Independent judgment: be able to apply the acquired knowledge to solve practical problems in bioprocesses, formulating critical judgments on the dynamics and effectiveness of the proposed solutions.
Communication skills: be able to clearly present, both in writing and orally, the processes and dynamics involved in bioprocesses, using appropriate technical-scientific language.
Learning skills: be able to gather information from scientific texts and other sources to independently solve problems related to bioprocesses and their optimization.

119764 - ELECTIVE COURSE

Second Semester 6eng
119567 - PROJECT AND INDUSTRIAL MANAGEMENT

ILARIA BAFFO

Second Semester 6ING-IND/17ENG

Learning objectives

The main objectives of the Sensors and Data Acquisition systems course is to give the student the knowledge of the analysis methods and acquisition systems focusing the attention on the hardware and software (Labview) developed by National Instrument. A deep knowledge on the inertial measurement systems will be provided to the student.
Expected learning outcomes: knowledge and understanding: knowledge of the working principle of the data acquisition systems, knowledge the software Labview, knowledge of inertial sensors, understanding the body kinematics in order to better understand the algorithms that are implemented for the analysis of inertial sensor outputs.
Applying knowledge and understanding: understanding of the right scientific and methodological approach to the measurements; learning how to program in Labview language in order to acquire and analyze electrical signals. learning to independently perform a calibration procedure of sensors such as thermistors, distance sensors, accelerometers, and gyroscopes.
Making judgements: the student will be able to understand the experimental results; knowing how to choose the best instruments that has to be used as a function of the required measurements for the analysis of motion; the student will be able to independently implement software for the data acquisition and analysis.
Communication skills: the student will be able to report on experiments and to read and write calibration reports and datasheets; understanding of software written in Labview.
Learning skills: the ability to apply the learned methodological accuracy and the Labview software to different measurement setups than those studied in the Sensors and Data Acquisition systems course.

Teacher's Profile

courseProgram

Production management: Formulation of the production aggregate level and the master production schedule (MPS). Sizing of the production and supply of lots. Inventory management. Management of material requirements (MRP), formulation of procurement orders; Control of production performance. Lean Manufacturing and Just in Time.
Maintenance management: This course will focus on the maintenance process within industrial plants. Availability, reliability and maintainability will be the key words of this phase of course. Reliability theory of isolated components and complex systems. The course will analyse several maintenance policies and criteria for their selection.
Project Management: The course will present the way to work by projects and the different type of projects available for plant management. It will analyse the several phases of a project’s life: time and cost planning, execution phase, monitoring and the closure of all activities. Each project has to be evaluated considering both a cost benefit and technical feasibility analysis

examMode

The exam consists of a written test and an oral test.
the written test will be structured in a variable number of 3 or 4 exercises for a total duration varying from 1.5 to 2 hours.
The test is aimed at ascertaining the theoretical and practical knowledge of the student on the basis of the lessons and exercises proposed during the course.
The written test is carried out in total autonomy with the sole aid of a calculator.
The oral exam focuses on 3 topics among the topics proposed in the course. The student will have to demonstrate that they know how to explain the basic concepts and argue innovative solutions and proposals on the basis of the questions posed.

books

La gestione del sistema di produzione. Andrea Sianese. Rizzoli Etas. 2016
Esercizi di gestione della Produzione Indutriale. Associazione Amici di Franco Turco. Cooperativa Universitaria Studio e Lavori. 2003
Metodi e modelli per l'organizzazione dei sistemi logistici. Gianpaolo Ghiani e Roberto Musmanno. Pitagora Editrice Bologna. 2000
Gestione della produzione industriale. A.Brandolese, A.Pozzetti, A. Sianesi. Hoepli. 1991
Progettazione e Gestione degli impianti industriali. Domenico Falcone e Fabio De Felice. Hoepli 2012
Guida alle conoscenze di gestione dei progetti. Istituto italiano di Project Management. Franco Angeli. 2020

mode

The course is divided into lessons lasting approximately 1.5 hours. The contents of each lesson are shown in slides which are then made available to students as study material. Before, during and after the lesson, the teacher is available for clarifications and additions.
Practical case studies could be proposed to be tackled also in groups depending on the predisposition of the students and the learning time of the class.

classRoomMode


optional attendance

bibliography

La gestione del sistema di produzione. Andrea Sianese. Rizzoli Etas. 2016
Esercizi di gestione della Produzione Indutriale. Associazione Amici di Franco Turco. Cooperativa Universitaria Studio e Lavori. 2003
Metodi e modelli per l'organizzazione dei sistemi logistici. Gianpaolo Ghiani e Roberto Musmanno. Pitagora Editrice Bologna. 2000
Gestione della produzione industriale. A.Brandolese, A.Pozzetti, A. Sianesi. Hoepli. 1991
Progettazione e Gestione degli impianti industriali. Domenico Falcone e Fabio De Felice. Hoepli 2012
Guida alle conoscenze di gestione dei progetti. Istituto italiano di Project Management. Franco Angeli. 2020

119575 - FINAL DISSERTATION

Second Semester 15eng
MODULE II - -- -
INTERNSHIP AND SEMINARS - OTHER ACTIVITIESSecond Semester9eng
MODULE II - -- -
NUCLEAR FUSIONSecond Semester9ING-IND/31eng

Learning objectives

The course will provide the basics necessary to physical (module II) and engineering (module I) understanding of fusion nuclear energy systems covering topics from magnetic confinement and plasma physics to plasma surface interaction, reactor materials, control systems and mechanics. The main objectives are (a) knowledge and key aspects of engineering, technology and physics associated with the ' magnetic fusion energy, (b) identification of the main features nuclear fusion tokamak devices , (c) knowledge of the state of the international research (JET, EAST, ASDEX) and perspectives of fusion nuclear energy (next experimental machines as DTT, ITER and DEMO).
The expected learning results are: (i) the knowledge of the theoretical contents of the course (Dublin descriptor n°1), (ii) the competence in presenting technical argumentation skills (Dublin descriptor n°2), (iii) autonomy of judgment (Dublin descriptor n°3) in proposing the most appropriate approach to argue the request and (iv) the students' ability to express the answers to the questions proposed by the Commission with language properties, to support a dialectical relationship during discussion and to demonstrate logical-deductive and summary abilities in the exposition (Dublin descriptor n°4).

MODULE II - -- -
INTERNAL COMBUSTION ENGINES FUNDAMENTALS

ANDREA LUIGI FACCI

Second Semester6ING-IND/08eng

Learning objectives

The objective of the module is the comprehension of the basic physics involved in powertrains:
- Provide the theoretical and analytical bases for understanding basic thermo-fluid dynamic processes within traditional and innovative powertrains.
- Provide methods and instruments for the design of powertrain components.
Expected results:
Coherently with the SUA-CdS objectives, the expected results are:
- Knowledge of the physical foundations and mathematical instruments useful for understanding the powertrain working principles (Dublin descriptors 1 and 5);
- Capacity of utilizing the methodologies for the design powertrain components (Dublin descriptors 2 and 3).

Teacher's Profile

courseProgram

Internal combustion engines: Air manifolds, fuel delivery systems, pollutant emissions, engine cooling, engine modeling, engine control
Fuel cells: working principles, PEM,SOFC. MCFC
Electric and hybrid systems.

examMode

The exam consists of an oral and a homework. The fulfillment of the homework part is mandatory for the subsequent oral part.

The homework consist in a personal research work on one specific topic covered during the lectures. A student personal contribution is expected. Methodology, numerical results, literature analysis, and presentation will determine the mark. The minimum mark to access the oral part is 15/30.

The oral test evaluate the level of confidence of the student with the theoretical foundations of the course (superficial, appropriate, precise, complete, complete and thorough).

The final mark is the average of homework and oral part marks.

books

G. Ferrari, motori a combustione interna Ed. Esculapio
J. B. Heywood, Internal combustion engines fundamentals, Ed. McGraw-Hill

mode

Classroom lessons and exercises

classRoomMode

Non compulsory lessons.

bibliography

G. Ferrari, motori a combustione interna Ed. Esculapio
J. B. Heywood, Internal combustion engines fundamentals, Ed. McGraw-Hill

Teacher's Profile

ADDITIVE MANUFACTURINGSecond Semester3ING-IND/15eng

Learning objectives

The course aims to provide to the students the following learning outcomes:
- to know the main features and parameters of the most common additive manufacturing technologies;
- to know the features of the most common materials used in the context of additive manufacturing;
- to be able to use design tools for modelling and simulating component to be realized through additive manufacturing;
- to be able to use and choose the most appropriate additive manufacturing technologies to design, prototype and manufacture plastic and metal parts.
Expected learning outcomes:
1. Knowledge and understanding: to know the most relevant themes about additive manufacturing techniques; to know the most relevant themes about materials for additive manufacturing; to know the most relevant tools to support design for additive manufacturing.
2. Applying knowledge and understanding: to be able to use design for additive manufacturing tools; to be able to use rapid prototyping and additive manufacturing technologies.
3. Making judgements: to be able to choose the most appropriate tools, materials and technologies for rapid prototyping and additive manufacturing of parts.
4. Communication skills: to demonstrate expertise on subjects related to tools and technologies for additive manufacturing; to know and be able to correctly use the language and terminologies to communicate orally or in written form a project realized by using additive manufacturing techniques.
5. Learning skills: to be able to autonomously use tools and technologies to support additive manufacturing.

Learning objectives

The course aims to provide students with the knowledge and skills necessary to handle interactions in basic everyday situations, both public (shops, daily services, offices) and personal (family, friends), as well as university-related scenarios (administrative offices, simple requests). The first part of the course will cover fundamental theoretical aspects related to the four core language skills (listening, reading, speaking, and writing), aiming to achieve an A2 level according to the Common European Framework of Reference for Languages. Subsequently, practical communication skills in everyday contexts will be developed, focusing on understanding and interacting in predictable situations.
Students will be able to apply their language skills in an original way, even in daily life and simple academic interactions. They will be able to understand basic oral and written texts and make judgments about their communicative effectiveness. They will also be able to communicate simple information clearly and understandably.

Knowledge and Understanding: Understanding the basic principles of language skills, particularly focusing on listening and reading comprehension in everyday contexts.
Applied Knowledge and Understanding: Through practical exercises, students will develop the ability to apply the acquired techniques to handle simple interactions in various contexts.
Judgment Autonomy: Being able to evaluate their own communicative abilities and apply acquired knowledge to manage routine dialogues.
Communication Skills: Being able to present, both in writing and orally, simple and clear information about daily life and personal experiences.
Learning Ability: Being able to gather information from basic educational materials and apply knowledge to solve common communication problems

Learning objectives

The objective of the biomechanics laboratory is to provide the student with the basic concepts of biomechanics, through theoretical and practical lessons. In particular, the student will know the instruments and methods for measuring human movement. Furthermore, the use of calculation software for the resolution of biomechanical models is an integrated part of the educational objectives.
The expected results according to the Dublin descriptors are the following:
- Knowledge and understanding: Know the definitions of biomechanics, understand the functioning of instruments for measuring human movement, know the Matlab programming language for solving biomechanical models.
- Ability to apply correct knowledge and understanding: Have an understanding of the scientific approach in the field of measurements for biomechanics. Have the ability to autonomously carry out a measurement of human movement.
- Judgment skills: The student will be able to evaluate the most suitable equipment to use for measuring a given movement.
- Communication skills: The student will acquire the skills to be able to argue during the exam the measurement concepts related to biomechanics and the terminology to describe a human movement
- Ability to learn: The student will acquire the skills to be able to deepen the study of advanced tools for biomechanics and the use of Matlab for the resolution of biomechanical models.

Teacher's Profile

courseProgram

The detailed program is as follows:
- Topic 1 (6h): basic concepts of biomechanics, kinematics, rototranslation matrices, definition of reference systems, Euler/Cardan sequences, anatomical joints, non-optimal localization
- Topic 2 (4h + 6h): optoelectronic systems, operating principles, acquisition procedure, processing procedure. Practice: data acquisition with VICON system, processing, analysis with matlab
- Topic 3 (2 h + 2h): electromyography, surface emg, muscle synergies, operating principles, acquisition procedure, processing procedure - Practice: data analysis with matlab
- Topic 4 (2h + 2h): posturography, pressure matrix, operating principles, acquisition procedure, processing procedure. Practice: data analysis with matlab

examMode

The student's preparation is evaluated through the discussion of technical reports of the practical activities carried out during the course. Eligibility is achieved with a vote of 18/30.

books

For the achievement of the exam, it is sufficient the materials provided by the teacher and uploaded on moodle.

mode

The course is divided into four teaching units, of which 12 hours of laboratory and 12 hours of theoretical lessons. The theoretical notions are illustrated to the students during the frontal lessons, using audio-visual aids and the blackboard. The laboratory exercises include an introductory explanation and a practical experience to be carried out using the available instrumentation and the matlab programming software.

classRoomMode

The attendance is mandatory for the laboratories' activity

bibliography

Slides provided by teacher

Learning objectives

The course aims to provide students with the knowledge and skills needed to handle more complex interactions in everyday and academic situations. The first part of the course will delve into theoretical aspects related to the four language skills (listening, reading, speaking, and writing) to achieve a B1 level according to the Common European Framework of Reference for Languages. Subsequently, more complex communication scenarios and case studies will be analyzed, such as participating in conversations on less predictable topics.
Students will be able to apply their language skills in an original and critical manner, even in more complex and interdisciplinary contexts. They will be able to understand more detailed texts, make judgments about communicative situations, and manage dialogues independently, demonstrating confidence and flexibility.
Knowledge and Understanding: Understanding more complex language structures and interaction modes in various contexts, including work and study.
Applied Knowledge and Understanding: Through practical exercises and simulations of more detailed conversations, students will develop the ability to manage interactions in different contexts, focusing on coherence and clarity of communication.
Judgment Autonomy: Being able to make informed judgments about the effectiveness of their interactions and communication strategies used.
Communication Skills: Being able to present, both in writing and orally, more complex topics and participate in discussions on familiar and unfamiliar themes.
Learning Ability: Being able to independently deepen language knowledge through various sources, including specialized texts and online materials.

Learning objectives

The laboratory aims to provide second-level students with the knowledge and skills necessary to tackle the characterization of materials relevant to mechanical engineering, such as metals, alloys, composites, polymers, and new materials. In the first part of the course, the main spectroscopic and imaging techniques used for material studies will be addressed, along with the theoretical principles underlying these techniques. Subsequently, the experimental results obtained through these methodologies will be analyzed, discussing their significance and practical application. A portion of the course will be dedicated to laboratory exercises where students will apply the studied characterization techniques to concrete case studies.
Students will be able to apply the characterization techniques in an original manner, even in research and/or interdisciplinary contexts, contributing to the resolution of problems related to material studies. They will be able to critically interpret experimental data and make informed judgments.
Knowledge and understanding: understanding the main material characterization techniques, particularly spectroscopic and imaging techniques, and knowing the principles that govern them.
Applied knowledge and understanding: through practical exercises, students will develop the ability to apply the acquired techniques to the characterization of various materials and interpret the results.
Independent judgment: being able to independently evaluate the experimental results obtained and apply the acquired knowledge to solve complex problems related to material characterization.
Communication skills: being able to present, both in written and oral form, the results of experimental analyses and their significance, making them understandable to both specialists and non-specialists.
Learning ability: being able to gather information from scientific sources and specialized texts to autonomously deepen knowledge about material characterization techniques.

Teacher's Profile

courseProgram

Spectroscopy for the analysis of materials, fundamental principles and quantities. Non-invasive and micro-invasive elementary spectroscopies. Molecular spectroscopies. Non-invasive imaging techniques for the study of materials. Multispectral and hyperspectral techniques.

examMode

Preparation of a mini review on a topic indicated by the teacher or chosen by the student from those reported in the textbook. In the mini review the student must provide a brief summary taken from the scientific articles found on the topic and the bibliography consulted. A maximum of ten (10) papers must be used. The mini review will be evaluated as an exam and will be awarded suitability or otherwise if deemed sufficiently exhaustive. The work will be send by email before the date of the exam (pelosi@unitus.it)

books

Surender K Sharma, Dalip S verma, Latif U Khan, Shalendra Kumar, Sher B Khan, Handbook of Materials Characterization, Springer International Publishing, 2018, ISBN: 978-3-319-92955-2.

mode

The course takes place in the classroom with frontal lessons and with individual work that the students will carry out in libraries and on-line.
The hours will be organized as follows:
- 12 hours lessons
- 12 hours practical training

classRoomMode

Attendance at the course is not mandatory although it is recommended to follow the practical traning

bibliography

- Kelly Morrison, Characterisation Methods in Solid State and Materials Science, IOP Publishing, Bristol, UK, 2019, DOI: DOI 10.1088/2053-2563/ab2df5

- Euth Ortiz Ortega, Hamed Hosseinian, Ingrid Berenice Aguilar Meza, María José Rosales López, Andrea Rodríguez Vera, Samira Hosseini, Material Characterization Techniques and Applications, Springer Singapore, https://doi.org/10.1007/978-981-16-9569-8. Available as ebook.

Learning objectives

The course aims to provide students with the knowledge and skills necessary to understand and analyze polymeric, composite, and nanocomposite materials, with a particular focus on their chemical-physical properties, processing technologies, and structure-property relationships. In the first part of the course, the fundamental principles related to the chemical and physical properties of polymeric and composite materials will be addressed, and the main processing techniques will be presented. Subsequently, the relationships between structure, properties, and processing will be analyzed, with a specific focus on the techniques used to characterize chemical-physical properties. Finally, tools for designing structures and devices based on these materials will be provided.
Students will be able to understand and apply the knowledge gained even in interdisciplinary contexts, developing a critical perspective on the properties and behavior of polymeric and composite materials. Additionally, they will be able to communicate information about the materials studied to both specialist and non-specialist audiences.
Knowledge and understanding: understanding the fundamental principles of the chemical-physical properties of polymeric, composite, and nanocomposite materials, as well as the relationships between structure, properties, and processing.
Applied knowledge and understanding: through the study of practical cases, students will be able to apply the knowledge gained to the design of structures and devices based on polymeric and composite materials.
Independent judgment: being able to evaluate the properties of materials and apply the knowledge for the optimal selection and use of polymeric and composite materials in practical contexts.
Communication skills: being able to present, both in writing and orally, the characteristics and properties of polymeric and composite materials and the characterization techniques used.
Learning ability: being able to gather information from textbooks and other sources to autonomously deepen knowledge about polymeric and composite materials and their applications.

Learning objectives

The course aims to provide students with the knowledge and skills necessary to understand and analyze polymeric, composite, and nanocomposite materials, with a particular focus on their chemical-physical properties, processing technologies, and structure-property relationships. In the first part of the course, the fundamental principles related to the chemical and physical properties of polymeric and composite materials will be addressed, and the main processing techniques will be presented. Subsequently, the relationships between structure, properties, and processing will be analyzed, with a specific focus on the techniques used to characterize chemical-physical properties. Finally, tools for designing structures and devices based on these materials will be provided.
Students will be able to understand and apply the knowledge gained even in interdisciplinary contexts, developing a critical perspective on the properties and behavior of polymeric and composite materials. Additionally, they will be able to communicate information about the materials studied to both specialist and non-specialist audiences.
Knowledge and understanding: understanding the fundamental principles of the chemical-physical properties of polymeric, composite, and nanocomposite materials, as well as the relationships between structure, properties, and processing.
Applied knowledge and understanding: through the study of practical cases, students will be able to apply the knowledge gained to the design of structures and devices based on polymeric and composite materials.
Independent judgment: being able to evaluate the properties of materials and apply the knowledge for the optimal selection and use of polymeric and composite materials in practical contexts.
Communication skills: being able to present, both in writing and orally, the characteristics and properties of polymeric and composite materials and the characterization techniques used.
Learning ability: being able to gather information from textbooks and other sources to autonomously deepen knowledge about polymeric and composite materials and their applications.

Teacher's Profile

courseProgram

-Introduction, aim of the course and market of polymers and composites
-General characteristics of plastics: advantages and disadvantages compared to other materials. Review of chemical bonds. Morphology. Configuration and conformation. Molecular weight.
-Classifications. Thermoplastic and thermosetting polymers: characteristics and processability
-Elastomers and Elastomeric Properties
-Structure of polymeric solids and thermal properties: Transition temperatures: glass transition, melting crystallization. Methods of measurement.
-Reology and viscoelasticity and measurement methods
-Sustainable polymers: Biodegradable polymers, Polymers from renewable sources, Degradation of polymeric materials
-Definition of composite material. Characteristics and fields of application. Notes on the various types of matrix and reinforcements. Matrix-reinforcement interaction.
-Mechanical Properties of Polymers and Composites
-Degradation, durability and aging test
- Recovery and recycling
-Morphological Analysis: Optical and scanning and transmission electron microscopy techniques. Chemical-physical characterization.
- Nanocomposites

examMode

The exams are held in three sessions: winter session, summer session, autumn session. The summer and winter sessions include three sessions, the autumn one two. The exam consists of an oral interview.

books

-Introduction to Polymers, Third Edition, di Robert J. Young, Peter A. Lovell
-Materials Science and Engineering: An Introduction, di Jr. Callister, William D., David G. Rethwisch, Wiley
-Foundations of Materials Science and Engineering, William F. Smith, Ph.D. Hashemi, Javad, seventh Editions

-Slide of the courses

mode

The course includes 48 hours of frontal lessons in places and times regulated by the general timetable.

classRoomMode

Attendance of the lessons is not mandatory. However, it is recommended to follow the lessons in the classroom or remotely, when available.

Learning objectives

The fundamental objective of the Polymer Chemistry module within the Polymer Composites course is to provide the second level student with an in-depth knowledge of the chemistry of polymers and macromolecules, of the polymerization mechanisms and of the chemical and physic-chemical characteristics of the main natural and synthetic polymers.
The expected learning outcomes are:
1) know the concepts of monomer, polymer, macromolecule
2) know the polymerization reactions that lead to the formation of polymers
3) know the main types of isomerism that characterize polymer molecules
3) understand the properties of polymers based on their chemical composition
4) understand the possible applications of polymers in the engineering field on the basis of their chemical properties
5) knowing how to apply the knowledge acquired to real cases in the field of mechanical engineering
7) autonomy of judgment in choosing a polymeric material for the type of application required
8) communication skills in presenting the topics covered.

Teacher's Profile

courseProgram

Concepts of monomer, polymer, macromolecule. Degree of polymerization. Linear and branched polymers. Homopolymers and copolymers. Addition polymers, condensation polymers, natural polymers. Nomenclature of polymers. Isomerism in polymers. Condensation or step-growth polymers: polyesters, polyamides, polycarbonates, polyimides, polysiloxanes. Addition or chain-growth polymers: reaction mechanism. Controlled polymerization. Polymer conformations; networks, gels and rubber elasticity. Glass transition. Crystallinity in polymers.

examMode

The exams are held in three sessions: winter session, summer session, autumn session.
The summer and winter sessions include three sessions, the autumn one two.
The exam consists of an oral interview.

books

Timothy P. Lodge, Paul C. Hiemenz. Polymer Chemistry. CRC Press, Taylor & Francis Group, 2021

mode

The course takes place in the classroom with frontal lessons for the total of 24 hours foreseen by the module.

classRoomMode

Attendance of the lessons is not mandatory.

bibliography

Some scientific articles available on Moodle are indicated as a reference bibliography

Learning objectives

The objective of the course is to provide the knowledge and skills for the analysis of thermo-fluid dynamic problems in engineering by means of the CFD (Computational Fluid Dynamics) technique. In the first part of the course, the basic theoretical aspects related to the thermo-fluid dynamics governing equations will be addressed, together with the discretization methods of the governing equations and the numerical techniques for their solution. The concepts of stability, consistency, convergence and accuracy will be then illustrated in order to address the solution analysis. Finally, some practical guidelines on CFD simulation will be illustrated. Part of the course will be dedicated to the analysis of simple CFD problems of laminar and turbulent flows using dedicated CFD software.
The students will be able to apply the CFD technique in original ways, even in a research and/or interdisciplinary contexts, and then for the solution of unknown or not familiar problems. Students will have the ability to handle the complexity of computational thermo-fluid dynamic problems even with incomplete data and will be able to formulate judgements on them. In addition, students will have the skills to communicate the information relative to the analysed problems, to their knowledge and their solution to specialist and non-specialist audience.
Knowledge and understanding: to understand the fundamental principles of numerical thermo-fluid dynamics. To know the methods of discretization and solution of the governing equations with numerical techniques. To acquire the basic knowledge for performing numerical CFD simulations.
Applying knowledge and understanding: by carrying out case studies, the student will be encouraged to develop an applicative skills on the methodologies and techniques acquired.
Making judgments: to be able to apply the acquired knowledge to solve simple application problems of numerical thermo-fluid dynamics.
Communication skills: knowing how to present, both in written and oral form, simple problems and possible solutions of thermo-fluid dynamics using numerical techniques.
Learning skills: knowing how to collect information from textbooks and other material for the autonomous solution of problems related to numerical thermo-fluid dynamics.

Teacher's Profile

courseProgram

Introduction (what is CFD, how does CFD work);
Conservation laws (governing equations) of fluid motion and boundary conditions;
Turbulence and its modelling;
The finite volume method for diffusion problems;
The finite volume method for convection-diffusion problems;
Solution algorithms for pressure-velocity coupling in steady flows;
Solution of discretised equations;
The finite volume method for unsteady flows;
Implementation of boundary conditions;
Errors and uncertainty in CFD modelling;
Lab activities.

examMode

The exam evaluation consists in the discussion of a homework, to be carried out on the basis of numerical applications addressed in the classroom, and in an oral test. The oral test consists of a series of questions that focus on the notions dealt in the theoretical lessons.
The exam will also test the student communication skills and his autonomy in the organization and exposure of the theoretical topics.

books

Reference book:
H. K. Versteeg and W. Malalasekera. An Introduction to Computational Fluid Dynamics – The finite volume method. Pearson

Slides from classes

Other books:
J. Tu, G.-H. Yeoh, C. Liu, Computational Fluid Dynamics: A Practical Approach - Butterworth-Heinemann (2013)
J. D. Anderson Jr, Computational Fluid Dynamics, The Basics with Applications - McGraw-Hill (1995)

mode

The module is divided between theoretical lessons (30 hours) and exercises (18 hours). The theoretical lessons are mainly provided by means of slides.
The exercises are related to the solution of problems based on the theoretical principles addressed in the lessons.

classRoomMode

Attendance of the lessons is not mandatory. However, it is recommended to follow the lessons in the classroom or remotely when available.

bibliography

J. Tu, G.-H. Yeoh, C. Liu, Computational Fluid Dynamics: A Practical Approach - Butterworth-Heinemann (2013)
J. D. Anderson Jr, Computational Fluid Dynamics, The Basics with Applications - McGraw-Hill (1995)
P. Moin, Fundamentals of Engineering Numerical Analysis, Cambridge Univ. Press, (2010)
J. H. Ferziger and M. Peric, Computational Methods for Fluid Dynamics, Springer Verlag, (2001)
W. Shyy et al, Computational Fluid Dynamics with Moving Boundaries, Dover Publications, (2007)

Learning objectives

The course aims at introducing the students to a general knowledge of the materials fundamental properties, linking them with the lattice structures and properties. The main structural differences among dielectrics, metals and semiconductors will be analysed. In particular the most important materials for the Nuclear Fusion (steels and superconductors). Moreover, the course aims at providing a good enough knowledge to design control systems for dynamic processes.
The expected learning results are: (i) the knowledge of the theoretical contents of the course (Dublin descriptor n°1), (ii) the competence in presenting technical argumentation skills (Dublin descriptor n°2), (iii) autonomy of judgment (Dublin descriptor n°3) in proposing the most appropriate approach to argue the request and (iv) the students' ability to express the answers to the questions proposed by the Commission with language properties, to support a dialectical relationship during discussion and to demonstrate logical-deductive and summary abilities in the exposition (Dublin descriptor n°4).

Learning objectives

The course aims at enhancing the comprehension of natural environmental processes and at introducing major traditional and remote environmental sensing techniques. The course provides concepts and methodologies to address engineering design in context where monitoring major environmental variables is necessary.
The course aim is the knowledge of hydrological processes monitoring. Specifically, the course will focus on instrumentations and sensing techniques useful for observing environmental parameters.
It is possible to identify three main aims:
1. Refresh of notions about hydrological processes and their modelling, with particular emphasis of river discharge and precipitations.
2. Learning about instruments and sensing techniques for hydrological observations.
3. Learning and applying innovative approaches based on image analysis.
Expected outcomes following the Dublin descriptors:
Knowledge and understanding: hydrological phenomena, specifically, rainfall and runoff formation. Common practice of data collection and measurements in hydrology.
Applying knowledge and understanding: the concepts with a more technical and applicative implication (tools and approaches for the measurement and estimation of hydrological variables) will be consolidated through both traditional (exercises) and advanced (small experiments to be developed independently) practical labs.
Making judgements - Communication skills - Learning skills: students will be asked to develop a project that, in addition to providing a practical example for estimating river flow velocity, will allow them to investigate on the role of the image analysis. The project will be assigned without a rigid scheme, students will be invited to identify a scientific question on which they can investigate with the software application. During the project they will identify the answer to the scientific question and motivate their conclusions. Setting small groups and interacting with the lecturer will stimulate Making judgements - Communication skills - Learning skills under the hydrological perspective.

Teacher's Profile

courseProgram

1) Air Pollution:
a) Definition of the main air pollutants
b) Emission sources and pollutant formation mechanisms
c) Pollutant abatement systems
d) Dispersion of pollutants in the atmosphere
2) Thermal pollution
3) Noise pollution

examMode

The exam consists of an oral exam and a homework. The homework is mandatory for the oral exam.

The homework is individual and consists of personal research and in-depth analysis on one of the topics covered during the course. Methodology, numerical results, literature analysis, and presentation will be evaluated. The minimum grade for admission to the oral exam is 15/30.

The oral exam is designed to assess the student's level of knowledge and understanding (superficial, appropriate, precise and complete, complete and in-depth) of the topics covered during the course. The final grade is the average of the scores from the written and oral exams.

books

Teacher's handouts

classRoomMode

Non-mandatory lectures and exercises

Learning objectives

The course will provide the basics necessary to physical (module II) and engineering (module I) understanding of fusion nuclear energy systems covering topics from magnetic confinement and plasma physics to plasma surface interaction, reactor materials, control systems and mechanics. The main objectives are (a) knowledge and key aspects of engineering, technology and physics associated with the ' magnetic fusion energy, (b) identification of the main features nuclear fusion tokamak devices , (c) knowledge of the state of the international research (JET, EAST, ASDEX) and perspectives of fusion nuclear energy (next experimental machines as DTT, ITER and DEMO).
The expected learning results are: (i) the knowledge of the theoretical contents of the course (Dublin descriptor n°1), (ii) the competence in presenting technical argumentation skills (Dublin descriptor n°2), (iii) autonomy of judgment (Dublin descriptor n°3) in proposing the most appropriate approach to argue the request and (iv) the students' ability to express the answers to the questions proposed by the Commission with language properties, to support a dialectical relationship during discussion and to demonstrate logical-deductive and summary abilities in the exposition (Dublin descriptor n°4).

Learning objectives

The class mainly aims at providing both theoretical and practical knowledges on non-destructive methods used in the industrial field.
Considering the Dublin Descriptors, the expected results will be:
1. Knowledge and understanding: Students will acquire theoretical knowledges on the different types of non-destructive testing, as well the ability to understand scientific report of the tests and technical datasheet of the instruments used for the test application.
2. Applying knowledge and understanding: Students will be able to manage hardware and software elements of the measurement systems. A full insight into the UNI EN ISO 9712 standards concerning the risks related to the practical application of the procedure will be acquired.
3. Making judgements: Students will be able to select the most suitable approach based on thea specific application., as well they will be able to write down scientific reports on the outcomes of non destructive tests.
4. Communication skills: Students will acquire the ability to be able to discuss the different techniques with appropriate language both from a tehcnical and regulatory point of view during the exam.
5. Learning skills: Students will acquire the mandatory basic skills to be able to autonomously deepen the advanced study of innovative non-destructive tests.

Teacher's Profile

courseProgram

Topic 1. Introduction to non-destructive testing (5h)
Introduction to the course. Definition of non-destructive method. Historical notes on non-destructive measures. Differences between destructive and non-destructivemethods. Classification of non-destructive method.
Topic 2. The classification of discontinuities (3h)
Types of discontinuity. Nomenclature of discontinuities. Cracks. Discontinuity due to welding. Discontinuity due to plastic deformation. Corrosion. Stress fractures. Effects of fragility. Geometric discontinuities.
Topic 3. Visual inspection (3h)
Theory and principles. Instrumentation. Techniques. The remote visual controls. Applications based on discontinuities. Advantages and disadvantages. Drafting Report. Reference legislation.
Topic 4. Controls with penetrant liquids (5h)
Theory and principles. Instrumentation. Penetrating materials. Procedure and techniques. Advantages and disadvantages. Reference legislation.
Topic 5. Controls with magnetic particles (5h)
Theory and principles. Instrumentation. Techniques. Applications. Advantages and disadvantages. Drafting Report. Reference legislation.
Topic 6. Radiographic controls (8h)
Theory and principles. Instrumentation. Techniques. Applications. Digital radiography. Advantages and disadvantages. Reference legislation. In-depth study: radiography in the biomedical field.
Topic 7. Controls with ultrasound (6h)
Theory and principles. Instrumentation. Techniques. Applications. Advantages and disadvantages. Reference legislation In-depth analysis: ultrasounds for thickness gauge checks of LPG tanks.
Topic 8. Controls with eddy currents (4h)
Theory and principles. AC. Instrumentation. Techniques. Applications. Advantages and disadvantages. Reference legislation. Notes on other electromagnetic tests.
Topic 9. Thermographic checks (3h)
Theory and principles. Instrumentation. Techniques. Applications. Advantages and disadvantages. Reference legislation.
Topic 10. Aucoustic emmision controls (4h)
Theory and principles. Instrumentation. Techniques. Applications. Advantages and disadvantages. Reference legislation. In-depth study: the acoustic emission for structural integrity checks of LPG tanks.

examMode

The exam is a written test and it will contain two questions aimed at evaluating the students' theoretical knowledge of the main topics covered during the course from the point of view of methodology, sensors and the ability to analyze the context indicating the most appropriate methodology to applied, in line with the training objectives. In addition, an optional oral exam can be done on the practical laboratory tests.
The student will be assessed as sufficient starting from a final score equal to or greater than 18/30. An evaluation is sufficient when:
1. The student demonstrates a sufficient preparation on the theoretical knowledge of the various non-destructive methodologies;
2. The student demonstrates ability in reading technical manuals;
3. The student demonstrates competence in the management of hardware and software devices for the execution of the test;
4. The student demonstrates the ability to judge which method is the most appropriate based on the application;
5. All of the above skills and competences are demonstrated using appropriate technical language.

books

Material provided by teacher during lessons is sufficient to pass the exam.
Suggested books are:
AIM – “Le prove non distruttive” – Associazione Italiana di Metallurgia
Charles J. Hellier, “Handbook of Nondestructive Evaluation, Third Edition”, McGraw-Hill 2013

mode

Lectures and laboratory activites.

classRoomMode

Attendance is strongly recommended, but not mandatory.

bibliography

Charles J. Hellier, “Handbook of Nondestructive Evaluation, Third Edition”, McGraw-Hill 2013

Learning objectives

The objective of the module is the comprehension of the basic physics involved in powertrains:
- Provide the theoretical and analytical bases for understanding basic thermo-fluid dynamic processes within traditional and innovative powertrains.
- Provide methods and instruments for the design of powertrain components.
Expected results:
Coherently with the SUA-CdS objectives, the expected results are:
- Knowledge of the physical foundations and mathematical instruments useful for understanding the powertrain working principles (Dublin descriptors 1 and 5);
- Capacity of utilizing the methodologies for the design powertrain components (Dublin descriptors 2 and 3).

Teacher's Profile

courseProgram

Internal combustion engines: Air manifolds, fuel delivery systems, pollutant emissions, engine cooling, engine modeling, engine control
Fuel cells: working principles, PEM,SOFC. MCFC
Electric and hybrid systems.

examMode

The exam consists of an oral and a homework. The fulfillment of the homework part is mandatory for the subsequent oral part.

The homework consist in a personal research work on one specific topic covered during the lectures. A student personal contribution is expected. Methodology, numerical results, literature analysis, and presentation will determine the mark. The minimum mark to access the oral part is 15/30.

The oral test evaluate the level of confidence of the student with the theoretical foundations of the course (superficial, appropriate, precise, complete, complete and thorough).

The final mark is the average of homework and oral part marks.

books

G. Ferrari, motori a combustione interna Ed. Esculapio
J. B. Heywood, Internal combustion engines fundamentals, Ed. McGraw-Hill

mode

Classroom lessons and exercises

classRoomMode

Non compulsory lessons.

bibliography

G. Ferrari, motori a combustione interna Ed. Esculapio
J. B. Heywood, Internal combustion engines fundamentals, Ed. McGraw-Hill

Teacher's Profile

Learning objectives

The course aims to provide to the students the following learning outcomes:
- to know the main features and parameters of the most common additive manufacturing technologies;
- to know the features of the most common materials used in the context of additive manufacturing;
- to be able to use design tools for modelling and simulating component to be realized through additive manufacturing;
- to be able to use and choose the most appropriate additive manufacturing technologies to design, prototype and manufacture plastic and metal parts.
Expected learning outcomes:
1. Knowledge and understanding: to know the most relevant themes about additive manufacturing techniques; to know the most relevant themes about materials for additive manufacturing; to know the most relevant tools to support design for additive manufacturing.
2. Applying knowledge and understanding: to be able to use design for additive manufacturing tools; to be able to use rapid prototyping and additive manufacturing technologies.
3. Making judgements: to be able to choose the most appropriate tools, materials and technologies for rapid prototyping and additive manufacturing of parts.
4. Communication skills: to demonstrate expertise on subjects related to tools and technologies for additive manufacturing; to know and be able to correctly use the language and terminologies to communicate orally or in written form a project realized by using additive manufacturing techniques.
5. Learning skills: to be able to autonomously use tools and technologies to support additive manufacturing.

Learning objectives

The course aims to enable the student to achieve the following educational outcomes:
- know the main characteristics of additive manufacturing and design for additive manufacturing;
- know the uses and the main simulation tools regarding topological optimization;
- know the uses and main simulation tools regarding Generative Design;
- know the uses and main techniques of Reverse Engineering;
- be able to use modeling and simulation tools for components to be created through additive manufacturing.
Expected learning outcomes:
1. Knowledge and understanding: know the concepts related to additive manufacturing technologies; know the concepts relating to materials for additive manufacturing; learn about the most innovative tools to support the design of components to be created in additive manufacturing.
2. Applied knowledge and understanding: knowing how to use design software systems for additive manufacturing; know how to use Generative Design, topological optimization and Reverse Engineering techniques.
3. Making judgements: knowing how to adequately choose DFAM techniques in relation to the case study considered.
4. Communication skills: mastery of topics related to additive manufacturing tools and technologies; use of appropriate vocabulary and terminology to present, in written or verbal form, a project created through the use of additive manufacturing techniques.
5. Ability to learn: autonomy in the use of simulation tools to support additive manufacturing.

Teacher's Profile

courseProgram

Introduction to Design for Additive Manufacturing and the main techniques used. Concepts of topological optimization and critical analysis of simulative tools to perform it. Introduction to generative design and related simulation tools. Overview of the main techniques of Reverse Engineering .

examMode

The exam will be oral and will mainly consist in a series of questions to verify the theoretical preparation of students about all the topics explained during the course and the ability to communicate the acquired knowledge.

In addition, autonomy of judgment and the ability to put into practice the simulative tools studied for case study assessment will be assessed.

books

Teaching material distributed by the teacher

mode

The course consists of 24 hours of lectures. The theoretical notions are explained to the students during the lectures by means of audio-visual aids and the blackboard

classRoomMode

Lessons are optional

bibliography

Additive Manufacturing Technologies, 3D Printing, Rapid Prototyping, and Direct Digital Manufacturing, Ian Gibson David Rosen Brent Stucker, Springer, New York, NY, Springer Science+Business Media New York 2015, Print ISBN 978-1-4939-2112-6, Online ISBN 978-1-4939-2113-3, DOI https://doi.org/10.1007/978-1-4939-2113-3

Additive Manufacturing Processes, Sanjay Kumar, 2020, Springer International Publishing, Springer Nature Switzerland AG, eBook ISBN 978-3-030-45089-2, DOI 10.1007/978-3-030-45089-2, Hardcover ISBN 978-3-030-45088-5

Additive Manufacturing, applications and innovations, R. Singh, J.P. Davim, Taylor & Francis Ltd, 2018, ISBN 10: 1138050601, EAN: 9781138050600

Learning objectives

The course aims to provide to the students the following learning outcomes:
- to know the main features and parameters of the most common additive manufacturing technologies;
- to know the features of the most common materials used in the context of additive manufacturing;
- to be able to use design tools for modelling and simulating component to be realized through additive manufacturing;
- to be able to use and choose the most appropriate additive manufacturing technologies to design, prototype and manufacture plastic and metal parts.
Expected learning outcomes:
1. Knowledge and understanding: to know the most relevant themes about additive manufacturing techniques; to know the most relevant themes about materials for additive manufacturing; to know the most relevant tools to support design for additive manufacturing.
2. Applying knowledge and understanding: to be able to use design for additive manufacturing tools; to be able to use rapid prototyping and additive manufacturing technologies.
3. Making judgements: to be able to choose the most appropriate tools, materials and technologies for rapid prototyping and additive manufacturing of parts.
4. Communication skills: to demonstrate expertise on subjects related to tools and technologies for additive manufacturing; to know and be able to correctly use the language and terminologies to communicate orally or in written form a project realized by using additive manufacturing techniques.
5. Learning skills: to be able to autonomously use tools and technologies to support additive manufacturing.

Teacher's Profile

courseProgram

The evolution of additive manufacturing; features of additive printing; printing technologies (FDM, LOM, SLA, DLP, PolyJet, Binder Jetting, SLS, Multijet Fusion, dDMLS, SLM, EBM); additive materials (plastic, metal and other materials); main concepts of polymerization: thermoplastics and thermosetting; powder metallurgy (production, sintering and post-sintering); main flaws and post-processing operations.

examMode

The exam will be oral and will mainly consist in a series of questions to verify the theoretical preparation of students about all the topics explained during the course and the ability to communicate the acquired knowledge.

In addition, two questions will be focused on practical problems, in order to verify the student autonomy and the capacity to use the acquired knowledge about tools and technologies for additive manufacturing

books

Teaching material distributed by the teacher
Ian Gibson - David Rosen: Additive Manufacturing Technologies, Springer, Third Edition

mode

The course consists of 24 hours of lectures. The theoretical notions are explained to the students during the lectures by means of audio-visual aids and the blackboard

classRoomMode

Lessons are optional

bibliography

Additive Manufacturing Technologies, 3D Printing, Rapid Prototyping, and Direct Digital Manufacturing, Ian Gibson David Rosen Brent Stucker, Springer, New York, NY, Springer Science+Business Media New York 2015, Print ISBN 978-1-4939-2112-6, Online ISBN 978-1-4939-2113-3, DOI https://doi.org/10.1007/978-1-4939-2113-3

Additive Manufacturing Processes, Sanjay Kumar, 2020, Springer International Publishing, Springer Nature Switzerland AG, eBook ISBN 978-3-030-45089-2, DOI 10.1007/978-3-030-45089-2, Hardcover ISBN 978-3-030-45088-5

Additive Manufacturing, applications and innovations, R. Singh, J.P. Davim, Taylor & Francis Ltd, 2018, ISBN 10: 1138050601, EAN: 9781138050600

Learning objectives

The course aims to provide to the students the following learning outcomes:
- to present methods and tools for the geometrical modelling and simulation
- to illustrate methods and tools for the creation and use of virtual prototypes to be used during the design and validation, as well as along the whole product lifecycle.7
- to illustrate innovative and standard techniques and technologies for the interaction with the virtual prototype.
- to face the issues related to virtual modelling in specific application contexts and related to the use of innovative industrial design technologies.
Expected learning outcomes:
1. Knowledge and understanding: to know the most relevant themes about solid and surface modelling; to know the role of virtual prototypes in the product development process; to know the most relevant tools to support the design and management of the product life cycle
2. Applying knowledge and understanding: to be able to use solid modelling and virtual prototyping tools; to be able to use design for X techniques; to be able to use life cycle design and management techniques
3. Making judgements: to be able to choose the most appropriate virtual prototyping tools to support the different product development phases
4. Communication skills: to demonstrate expertise on subjects related to virtual prototyping; to know and be able to correctly use the language and terminologies to communicate orally or in written form a project realized by using virtual prototyping techniques
5. Learning skills: to be able to autonomously use tools and methods related to virtual prototyping.

Teacher's Profile

courseProgram

- The design phase: methods and tools
- Formal methods for the industrial product design
- The systematic product desin process
- Methods and technoques for product representation
- Modelling and representation techniques for solid bodies and surfaces
- Geometrical modelling tools
- Virtual prototypes and simulation techniques
- Finite element modelling and simulation
- Finite element tools
- Methods and tools for Design for X
- Life Cycle Thinking and Design
- Life Cycle Assessment

examMode

The exam will be organized in two different tests:
- a practical exam consisting in the development of a design project by applying one or more design/simulation methods/tools explained during the course to evaluate the acquired knowledge, the capacity to use this knowledge and the student autonomy
- an oral exam to verify the theoretical preparation of students about all the topics explained during the course and the ability to communicate the acquired knowledge

books

Teaching material distributed by the teacher

mode

Frontal lessons: 32 hours
Exercises: 16 hours

classRoomMode

The attendance is optional

bibliography

- Pahl G., Beitz W., Feldhusen J. Grote G.H., 2007, "Engineering Design: A systematic Approach", 3rd Edition, Springer.
- Bordegoni M., Rizzi C., 2011, "Innovation in Product Design: From CAD to Virtual Prototyping", 1st Edition, Springer.
- Goldman R., 2009, "An integrated Introduction to Computer Graphics and Geometric Modeling", CRC Press.
- Belingardi G., 1999, "Il Metodo degli Elementi Finiti nella Progettazione Meccanica”, Levrotto&Bella.
- Chen X., Liu Y, 2014, “Finite Element Modeling and Simulation with ANSYS Workbench”, CRC Press.
- Kurz M., 2007, “Environmentally Conscious Mechanical Design", Wyley.
- Ashby M., 2010, "Materials Selection in Mechanical Design", Butterworth-Heinemann

Learning objectives

The course aims to give the students fundamental concepts and applicative knowledge of hydrogen technologies, covering all the steps of the value chain: production, storage and final use. Both conventional and innovative technologies are discussed to give the students the basic skills required to work in the hydrogen sector.
In particular, at the end of the course the student is expected to have the following knowledge:
- knowledge of hydrogen production systems
- knowledge of hydrogen storage systems
- knowledge of hydrogen final uses
Furthermore, at the end of the course the student is expected to have the following skills:
- ability to outline schemes and processes of thermochemical hydrogen production plants
- ability to choose renewable hydrogen production systems based on the type of application
- ability to choose hydrogen storage systems based on the production method and final use
- ability to analyze hydrogen final-use scenarios
Expected learning outcomes:
Knowledge and understanding: understand the fundamental principles associated with the techno-economic analysis of hydrogen systems.
Applying knowledge and understanding: by carrying out case studies, the student will be encouraged to develop an applicative skills on the methodologies and techniques acquired.
Making judgments: being able to apply the acquired knowledge to solve simple problems in the techno-economic analysis of hydrogen systems.
Communication skills: knowing how to explain, both in written and oral form, the problem and possible solutions to simple situations concerning the techno-economic analysis of hydrogen systems.
Learning skills: knowing how to collect information from textbooks and other material for the autonomous solution of problems related to the verification of hydrogen systems.

Teacher's Profile

courseProgram

HT.1 Hydrogen Production:
HT1.1 Thermochemical Hydrogen Production: Industrial Hydrogen Production from Hydrocarbon Fuels and Biomass, Small-Scale Reforming for On-Site Hydrogen Supply, Fuel Processing for Utilization in Fuel Cells and other devices
HT1.2 Water Electrolysis: Electrolysis Systems for Grid Relieving, Status and Prospects of Alkaline Electrolysis, Dynamic Operation of Electrolyzers – Systems Design and Operating Strategies, Stack Technology for PEM Electrolysis, Reversible Solid Oxide Fuel Cell Technology for Hydrogen/Syngas and Power Production
HT1.3 Other Production Methods
HT.2 Hydrogen Storage: Physics of Hydrogen
HT2.1 Compressed and Liquid Hydrogen Storage: Thermodynamics of Pressurized Gas Storage, Geologic Storage of Hydrogen – Fundamentals, Processing, and Projects, Bulk Storage Vessels for Compressed and Liquid Hydrogen, Hydrogen Storage in Vehicles, Cryo-compressed Hydrogen Storage, Hydrogen Liquefaction
HT2.2 Metal Hydrides Hydrogen Storage: Hydrogen Storage by Reversible Metal Hydride Formation, Implementing Hydrogen Storage Based on Metal Hydrides
HT2.3 Other Hydrogen Storage Techniques: Transport and Storage of Hydrogen via Liquid Organic Hydrogen Carrier (LOHC) Systems
HT.3 Final uses of Hydrogen:
HT3.1 Stationary: Hydrogen Hybrid Power Plant, Wind Energy and Hydrogen Integration Projects, Hydrogen Islands – Utilization of Renewable Energy for Autonomous Power Supply, Gas Turbines and Hydrogen
HT3.2 Mobility: Transportation/Propulsion/Demonstration/Buses: The Design of the Fuel Cell Powertrain for Urban Transportation Applications, Refueling Station Layout
HT3.3 Industrial Usage of Hydrogen

examMode

The exam will consist of a written exam and, if needed, an oral exam just after the written one.
During the semester the assignment of homework with evaluation is foreseen, which will be discussed during the oral exam.
The written exam will consist of at least 3 questions through which the teacher can evaluate the learning level of the topics covered in the course and the student's ability to solve practical / design problems.

classRoomMode

Attendance of the course is optional

Learning objectives

The student will acquire the basic skills to develop the mechanization of the operations of the main agricultural, forestry and green maintenance sites.
In particular, he will be able to choose suitable machines for quality work (knowing materials, operating modes) and respecting constraints on mechanization (economic, environmental, safety, etc.).
Expected learning outcomes:
• Knowledge and understanding skills: the student will acquire knowledge and understanding about the principles underlying the design and operation of machines and plants and know how to introduce them into agricultural, forestry and green maintenance sites, while respecting various constraints.
• Ability to apply knowledge and understanding: the student will acquire the skills to apply the theoretical knowledge of the topics dealt in the course with a critical sense for the identification of individual machines, a park of machinery or plant for agricultural, forestry and green maintenance yards.
• Autonomy of judgment: the student will be able to select specific machines and plants suitable for the various types of agricultural, forestry and green maintenance sites, in an objective way, without letting them be influenced by the machine manufacturers and also respecting the social, scientific or ethics related to each decision of mechanization.
• Communicative Skills: the student will be able to communicate machine and plant information and their technical and economic requirements to third parties (employers, clients such as farms, forestry companies, etc.), motivating their choices.
• Learning ability: the articulation of the course will be developed in such a way as to convey to the students at first the "transversal" basic concepts, regarding any type of machine. Next, individual types of machines will be treated (most commonly in agricultural, forestry and green maintenance sites). The topics will be dealt with in order to stimulate the will to learn, in the logic of gradually developing knowledge, from mechanical materials and principles, to building and safety aspects, to machine management. The same logic is required in the creation of a textbook or presentation that will be taken into account in the assessment of learning.

Teacher's Profile

courseProgram

Presentation of the course. Objectives of mechanization for biosystems. Definition of machine and plant. (4 h)
Levels of mechanization and evolution of mechanization for biosystems. (2 h)
Basic concepts of mechanics and physics applied to machinery (grip, longitudinal and transversal stability). (6 h)
General and functional characteristics of the main categories of machinery for biosystems: agricultural and forestry tractors; machines for ground working; construction equipment; machines for cultivation and for planting; machines for care and protection; harvesting machines; machines for cutting and sawing; machines for delimbing and debarking; machines for shredding and chopping; machines for transport and load; winches; cableways. (12 h)
Concept of work capacity and efficiency of a machine. Machine's management. (4 h)
Concepts of safety: the Machinery Directive and Regulation. (6 h)
Concepts of hygienic risk: assessment and prevention of occupational diseases. (10 h)
Concepts of ergonomics: the man-machine and man-workplace relation. (8 h)

examMode

The oral exam will be aimed at evaluating the basic knowledge of the physical technologies used in the main types of machines and plants for biosystems. In particular, the candidate must demonstrate to have acquired a good knowledge of the technical and organizational aspects necessary for a correct choice and management of the machines.
The candidate, in the context of flipped classroom, will illustrate a specific machine, previously assigned, by means of a Power Point presentation in the classroom. In particular, it must report on: - description of the machine (constituent parts, materials used, principle of operation); - safety aspects in the use of the machine; - management costs. Two other questions will go over the whole course program. The presentation and the two questions will be evaluated with a score from 0 to 10. The final score will be given by the sum of the three individual scores.
For the attribution of the score, the level of knowledge of the contents shown and the ability to apply the concepts learned will be taken into account; synthesis and language properties will also be taken into consideration.

books

Lesson notes.
P. Biondi, Meccanica agraria - Le macchine agricole, UTET, 1999 Torino.
P. Amirante, Lezioni di meccanica agraria
G. Hippoliti, Appunti di meccanizzazione forestale, Società Editrice Fiorentina, 1997 Firenze.

classRoomMode

Attendance of the lessons is not mandatory. However, it is recommended to follow the lessons in the classroom or remotely, when available.

bibliography

https://www.researchgate.net/publication/296189205_Lezioni_di_Meccanica_Agraria
https://www.researchgate.net/publication/296192148_Lezioni_di_Meccanica_Agraria_vol_2
https://www.researchgate.net/publication/296191980_Lezioni_di_Meccanica_Agraria_vol_3

Learning objectives

The course intends to prepare students with knowledge on the main biological bioconversion processes of organic substance. It involves the study of biotechnological processes in applications aimed at energy production. The student will have the opportunity to learn the possible factors affecting bioprocesses, learning to evaluate the appropriate conditions in setting up bioprocesses in a context of environmental sustainability. Finally, the student will be able to communicate with technical-scientific terminology the dynamics occurring during the development of bioprocesses.
Knowledge and understanding: comprehend the fundamental principles of bioconversion processes and biotechnological techniques applied to energy production. Understand the factors that influence bioprocesses and the optimal conditions for their setup in an environmentally sustainable context.
Applied knowledge and understanding: through case studies, the student will be encouraged to develop practical skills in bioprocesses, evaluating the influence of various factors and optimizing operational conditions.
Independent judgment: be able to apply the acquired knowledge to solve practical problems in bioprocesses, formulating critical judgments on the dynamics and effectiveness of the proposed solutions.
Communication skills: be able to clearly present, both in writing and orally, the processes and dynamics involved in bioprocesses, using appropriate technical-scientific language.
Learning skills: be able to gather information from scientific texts and other sources to independently solve problems related to bioprocesses and their optimization.

Learning objectives

Knowledge and understanding: the student will be aware from a technical point of view of energy plants where biomasses and organic wastes are used.
Applying Knowledge and understanding: the student will be able to apply the acquired knowledge to choose the most suitable type of energy conversion process according to the type of biomass and the energy vector to be produced.
Making judgments: the student will became capable to judge the different options available given the nature of the feedstock available (kind of biomass, kind of organic waste) and the technological opportunities to valorize it as bioenergy.
Communication skills: the student will be capable to efficiently communicate concerning bio-energy options, processes and plants.
Learning skills the student will be taught that significant bioenergy process advancements are in progress, and that he/she should keep him/herself updated on the last technological outcomes that face the bio-energy market.

Teacher's Profile

courseProgram

1. Biomass and bioenergy
2. Chemical-physical characteristics of biomass
3. Biomass pre-processing for energy
4. Thermochemical conversion of biomass into energy vectors
4.1. Process and technology of combustion
4.2. Process and technology of pyrolysis
4.3. Process and technology of gasification
4.4. Hydroprocesses (HTC, HTL, HTG)


examMode

The oral exam includes three questions on the course program. The duration of the oral exam is approximately 30 minutes.

books

Lecture notes in electronic format provided by the teacher

mode

The teaching methodology proposed integrates a component of theoretical content exposition about biomass characteristics in the perspective of its use in energy applications and develops the concepts about the application of biomass to energy conversion processes into energy vectors such as heat, electricity and fuels. The approach followed integrates operational control and process performance aspects. The concepts are subsequently applied by carrying out a project work in the laboratory. This approach allows the student to understand and integrate the concepts and methodologies developed and acquire the competences preconized in the objectives of the course in the context of processes and technologies for biomass conversion to energy vectors.

classRoomMode

Optional

bibliography

Basu, P. (2018). Biomass gasification, pyrolysis and torrefaction: practical design and theory. Academic press.
Rosendahl, L. (Ed.). (2013). Biomass combustion science, technology and engineering. Elsevier.
Brown, R. C. (Ed.). (2019). Thermochemical processing of biomass: conversion into fuels, chemicals and power. John Wiley & Sons.
Nzihou, A. (Ed.). (2020). Handbook on characterization of biomass, biowaste and related by-products. Switzerland: Springer.

Learning objectives

The course intends to prepare students with knowledge on the main biological bioconversion processes of organic substance. It involves the study of biotechnological processes in applications aimed at energy production. The student will have the opportunity to learn the possible factors affecting bioprocesses, learning to evaluate the appropriate conditions in setting up bioprocesses in a context of environmental sustainability. Finally, the student will be able to communicate with technical-scientific terminology the dynamics occurring during the development of bioprocesses.
Knowledge and understanding: comprehend the fundamental principles of bioconversion processes and biotechnological techniques applied to energy production. Understand the factors that influence bioprocesses and the optimal conditions for their setup in an environmentally sustainable context.
Applied knowledge and understanding: through case studies, the student will be encouraged to develop practical skills in bioprocesses, evaluating the influence of various factors and optimizing operational conditions.
Independent judgment: be able to apply the acquired knowledge to solve practical problems in bioprocesses, formulating critical judgments on the dynamics and effectiveness of the proposed solutions.
Communication skills: be able to clearly present, both in writing and orally, the processes and dynamics involved in bioprocesses, using appropriate technical-scientific language.
Learning skills: be able to gather information from scientific texts and other sources to independently solve problems related to bioprocesses and their optimization.

Learning objectives

The course aims to provide students with the knowledge and skills needed to handle more complex interactions in everyday and academic situations. The first part of the course will delve into theoretical aspects related to the four language skills (listening, reading, speaking, and writing) to achieve a B1 level according to the Common European Framework of Reference for Languages. Subsequently, more complex communication scenarios and case studies will be analyzed, such as participating in conversations on less predictable topics.
Students will be able to apply their language skills in an original and critical manner, even in more complex and interdisciplinary contexts. They will be able to understand more detailed texts, make judgments about communicative situations, and manage dialogues independently, demonstrating confidence and flexibility.
Knowledge and Understanding: Understanding more complex language structures and interaction modes in various contexts, including work and study.
Applied Knowledge and Understanding: Through practical exercises and simulations of more detailed conversations, students will develop the ability to manage interactions in different contexts, focusing on coherence and clarity of communication.
Judgment Autonomy: Being able to make informed judgments about the effectiveness of their interactions and communication strategies used.
Communication Skills: Being able to present, both in writing and orally, more complex topics and participate in discussions on familiar and unfamiliar themes.
Learning Ability: Being able to independently deepen language knowledge through various sources, including specialized texts and online materials.

Learning objectives

The course aims to provide a comprehensive understanding of volumetric machines, analyzing kinematics, volumetric expanders, volumetric compressors, and volumetric pumps. Participants will gain detailed knowledge of internal combustion engines, including their classification, fields of application, characteristic parameters, performance, and power regulation techniques, as well as fuel systems and combustion processes.
The course will delve into gas turbine components, focusing on compressors, turbines, materials used, refrigeration techniques, combustors, pollutant emissions, and the influence of external conditions on turbine operation. Power regulation, startup processes, operational transients, and off-design operation, along with the concept of technical minimum, will also be covered.
The course will explore combined cycle plant components, analyzing various plant configurations, multi-pressure level recovery boilers, post-combustion techniques, power regulation, and emission control. Advanced gas cycles, including external combustion, steam injection, humid air cycles, and chemical recovery cycles, will be examined, along with IGCC (Integrated Gasification Combined Cycle) plants, with a focus on their operation, performance, components, and technologies.
Participants will gain knowledge of gas microturbines, including their applications and performance, and fuel cells and hydrogen technologies. The course will cover the electrochemical operation of fuel cells, energy balance, performance, components (electrodes, electrolyte), and construction technologies, focusing on various types of fuel cells (PEM, PAFC, AFC, MCFC, SOFC) and energy systems based on these technologies. The course will also provide an overview of renewable energy sources and an introduction to energy storage systems, concluding with an introduction to Life Cycle Assessment and climate change impacts.
Expected learning outcomes:
At the end of the course the student is expected to have the following knowledge:
• knowledge of the detailed operation of heat exchangers, gas turbines with blade cooling and micro-gas turbines, combined systems at multiple pressure levels, fuel cells, and fuel processing systems for the production of syngas with a high hydrogen content;
• knowledge of the configuration, of the operating principles and of the selection criteria of the main types of volumetric fluid machines.
At the end of the course the student is expected to have the following skills:
• ability to design thermal engine systems and volumetric machines of medium and high complexity;
• ability to check volumetric machines, gas turbines, combined systems at multiple pressure levels, thermal engine systems, hydraulic motors, and refrigerators in different operating conditions;
• ability to choose a volumetric machine according to the field of application;
• ability to carry out the sizing of volumetric pumps and compressors and internal combustion engines;
• ability to carry out the dimensioning of fuel processing systems for the production of syngas with a high hydrogen content and of different types of fuel cells;
• ability to operate correctly (power regulation, control of operating parameters, performance monitoring) volumetric machines, gas turbines with blade cooling and gas micro-turbines, combined systems at multiple pressure levels, and fuel cells.
At the end of the course the student is expected to have the communication skills to describe, in written and oral form, the sizing, design choices, checks, operations and monitoring in the areas of heat exchangers, gas turbines with cooling of gas blades and microturbines, combined systems at multiple pressure levels, fuel cells, fuel processing systems for the production of syngas with high hydrogen content.

Teacher's Profile

courseProgram

Volumetric machines: Kinematics, Volumetric expanders. Volumetric compressors. Volumetric pumps.
Internal combustion engines: classification, fields of use, characteristic parameters, performance, power regulation, power supply and combustion processes.
Complements of gas turbines: compressor, turbine, materials, refrigeration techniques, combustor, polluting emissions, influence of external conditions on operation, power regulation and start-up, transients and off-project operation, technical minimum.
Complements of combined systems: system configurations, multi-level pressure recovery boiler, post-combustion, power regulation, polluting emissions control.
Advanced gas cycles (external combustion, water vapor injection, humid air, chemical recovery). Integrated Gasification Combined Cycle (IGCC) plants.
Gas micro-turbines.
Fuel cells and hydrogen technologies: electrochemical operation, energy balance and performance, components (electrodes, electrolyte), construction technologies, types of fuel cells (PEM, PAFC, AFC, MCFC, SOFC), energy systems based on fuel cells .
Renewable energies overview
Principles of energy storage systems
Life Cycle Assessment and climate-altering effects

examMode

The exam will consist of a written exam and, if needed, an oral exam just after the written one.
During the semester the assignment of homework with evaluation is foreseen, which will be discussed during the oral exam.
The written exam will consist of at least 3 questions through which the teacher can evaluate the learning level of the topics covered in the course and the student's ability to solve practical / design problems.

books

For the part of internal combustion engines:
1. Ferrari, G., Motori a Combustione Interna, Ed. The capital
2. J.B Heywood: '' Internal combustion engine fundamentals '', Mc Graw Hill, NY
For the part of volumetric machines:
1. Caputo C., Le machine volumetriche, Casa Editrice Ambrosiana.
For the part of gas turbines:
1. G. Lozza: Turbine a Gas e Cicli Combinati, Pitagora Ed.
For the fuel cell part:
DOE, Fuel Cell Handbook, 7th edition (https://www.netl.doe.gov/File%20Library/research/coal/energy%20systems/fuel%20cells/FCHandbook7.pdf)
For different parts of the course:
Vincenzo Dossena et al., Macchine a Fluido, CittàStudi

mode

The course is divided into 60 hours lectures, exercises and/or practical lessons (15 hours), seminars (6 hours). Theoretical notions are illustrated to students during lectures, through audio-visual aids and the blackboard. The exercises and practical lessons include an introductory explanation and a practical or numerical experience to be carried out.

classRoomMode

Attendance of the course is optional

bibliography

For the part of internal combustion engines:
1. Ferrari, G., Motori a Combustione Interna, Ed. The capital
2. J.B Heywood: '' Internal combustion engine fundamentals '', Mc Graw Hill, NY
For the part of volumetric machines:
1. Caputo C., Le machine volumetriche, Casa Editrice Ambrosiana.
For the part of gas turbines:
1. G. Lozza: Turbine a Gas e Cicli Combinati, Pitagora Ed.
For the fuel cell part:
DOE, Fuel Cell Handbook, 7th edition (https://www.netl.doe.gov/File%20Library/research/coal/energy%20systems/fuel%20cells/FCHandbook7.pdf)
For different parts of the course:
Vincenzo Dossena et al., Macchine a Fluido, CittàStudi

Learning objectives

The objective of the course is to provide the knowledge and skills for the analysis of thermo-fluid dynamic problems in engineering by means of the CFD (Computational Fluid Dynamics) technique. In the first part of the course, the basic theoretical aspects related to the thermo-fluid dynamics governing equations will be addressed, together with the discretization methods of the governing equations and the numerical techniques for their solution. The concepts of stability, consistency, convergence and accuracy will be then illustrated in order to address the solution analysis. Finally, some practical guidelines on CFD simulation will be illustrated. Part of the course will be dedicated to the analysis of simple CFD problems of laminar and turbulent flows using dedicated CFD software.
The students will be able to apply the CFD technique in original ways, even in a research and/or interdisciplinary contexts, and then for the solution of unknown or not familiar problems. Students will have the ability to handle the complexity of computational thermo-fluid dynamic problems even with incomplete data and will be able to formulate judgements on them. In addition, students will have the skills to communicate the information relative to the analysed problems, to their knowledge and their solution to specialist and non-specialist audience.
Knowledge and understanding: to understand the fundamental principles of numerical thermo-fluid dynamics. To know the methods of discretization and solution of the governing equations with numerical techniques. To acquire the basic knowledge for performing numerical CFD simulations.
Applying knowledge and understanding: by carrying out case studies, the student will be encouraged to develop an applicative skills on the methodologies and techniques acquired.
Making judgments: to be able to apply the acquired knowledge to solve simple application problems of numerical thermo-fluid dynamics.
Communication skills: knowing how to present, both in written and oral form, simple problems and possible solutions of thermo-fluid dynamics using numerical techniques.
Learning skills: knowing how to collect information from textbooks and other material for the autonomous solution of problems related to numerical thermo-fluid dynamics.

Teacher's Profile

courseProgram

Introduction (what is CFD, how does CFD work);
Conservation laws (governing equations) of fluid motion and boundary conditions;
Turbulence and its modelling;
The finite volume method for diffusion problems;
The finite volume method for convection-diffusion problems;
Solution algorithms for pressure-velocity coupling in steady flows;
Solution of discretised equations;
The finite volume method for unsteady flows;
Implementation of boundary conditions;
Errors and uncertainty in CFD modelling;
Lab activities.

examMode

The exam evaluation consists in the discussion of a homework, to be carried out on the basis of numerical applications addressed in the classroom, and in an oral test. The oral test consists of a series of questions that focus on the notions dealt in the theoretical lessons.
The exam will also test the student communication skills and his autonomy in the organization and exposure of the theoretical topics.

books

Reference book:
H. K. Versteeg and W. Malalasekera. An Introduction to Computational Fluid Dynamics – The finite volume method. Pearson

Slides from classes

Other books:
J. Tu, G.-H. Yeoh, C. Liu, Computational Fluid Dynamics: A Practical Approach - Butterworth-Heinemann (2013)
J. D. Anderson Jr, Computational Fluid Dynamics, The Basics with Applications - McGraw-Hill (1995)

mode

The module is divided between theoretical lessons (30 hours) and exercises (18 hours). The theoretical lessons are mainly provided by means of slides.
The exercises are related to the solution of problems based on the theoretical principles addressed in the lessons.

classRoomMode

Attendance of the lessons is not mandatory. However, it is recommended to follow the lessons in the classroom or remotely when available.

bibliography

J. Tu, G.-H. Yeoh, C. Liu, Computational Fluid Dynamics: A Practical Approach - Butterworth-Heinemann (2013)
J. D. Anderson Jr, Computational Fluid Dynamics, The Basics with Applications - McGraw-Hill (1995)
P. Moin, Fundamentals of Engineering Numerical Analysis, Cambridge Univ. Press, (2010)
J. H. Ferziger and M. Peric, Computational Methods for Fluid Dynamics, Springer Verlag, (2001)
W. Shyy et al, Computational Fluid Dynamics with Moving Boundaries, Dover Publications, (2007)

Learning objectives

The course aims to provide students with the knowledge and skills necessary to understand and analyze polymeric, composite, and nanocomposite materials, with a particular focus on their chemical-physical properties, processing technologies, and structure-property relationships. In the first part of the course, the fundamental principles related to the chemical and physical properties of polymeric and composite materials will be addressed, and the main processing techniques will be presented. Subsequently, the relationships between structure, properties, and processing will be analyzed, with a specific focus on the techniques used to characterize chemical-physical properties. Finally, tools for designing structures and devices based on these materials will be provided.
Students will be able to understand and apply the knowledge gained even in interdisciplinary contexts, developing a critical perspective on the properties and behavior of polymeric and composite materials. Additionally, they will be able to communicate information about the materials studied to both specialist and non-specialist audiences.
Knowledge and understanding: understanding the fundamental principles of the chemical-physical properties of polymeric, composite, and nanocomposite materials, as well as the relationships between structure, properties, and processing.
Applied knowledge and understanding: through the study of practical cases, students will be able to apply the knowledge gained to the design of structures and devices based on polymeric and composite materials.
Independent judgment: being able to evaluate the properties of materials and apply the knowledge for the optimal selection and use of polymeric and composite materials in practical contexts.
Communication skills: being able to present, both in writing and orally, the characteristics and properties of polymeric and composite materials and the characterization techniques used.
Learning ability: being able to gather information from textbooks and other sources to autonomously deepen knowledge about polymeric and composite materials and their applications.

Learning objectives

The course aims to provide students with the knowledge and skills necessary to understand and analyze polymeric, composite, and nanocomposite materials, with a particular focus on their chemical-physical properties, processing technologies, and structure-property relationships. In the first part of the course, the fundamental principles related to the chemical and physical properties of polymeric and composite materials will be addressed, and the main processing techniques will be presented. Subsequently, the relationships between structure, properties, and processing will be analyzed, with a specific focus on the techniques used to characterize chemical-physical properties. Finally, tools for designing structures and devices based on these materials will be provided.
Students will be able to understand and apply the knowledge gained even in interdisciplinary contexts, developing a critical perspective on the properties and behavior of polymeric and composite materials. Additionally, they will be able to communicate information about the materials studied to both specialist and non-specialist audiences.
Knowledge and understanding: understanding the fundamental principles of the chemical-physical properties of polymeric, composite, and nanocomposite materials, as well as the relationships between structure, properties, and processing.
Applied knowledge and understanding: through the study of practical cases, students will be able to apply the knowledge gained to the design of structures and devices based on polymeric and composite materials.
Independent judgment: being able to evaluate the properties of materials and apply the knowledge for the optimal selection and use of polymeric and composite materials in practical contexts.
Communication skills: being able to present, both in writing and orally, the characteristics and properties of polymeric and composite materials and the characterization techniques used.
Learning ability: being able to gather information from textbooks and other sources to autonomously deepen knowledge about polymeric and composite materials and their applications.

Learning objectives

The fundamental objective of the Polymer Chemistry module within the Polymer Composites course is to provide the second level student with an in-depth knowledge of the chemistry of polymers and macromolecules, of the polymerization mechanisms and of the chemical and physic-chemical characteristics of the main natural and synthetic polymers.
The expected learning outcomes are:
1) know the concepts of monomer, polymer, macromolecule
2) know the polymerization reactions that lead to the formation of polymers
3) know the main types of isomerism that characterize polymer molecules
3) understand the properties of polymers based on their chemical composition
4) understand the possible applications of polymers in the engineering field on the basis of their chemical properties
5) knowing how to apply the knowledge acquired to real cases in the field of mechanical engineering
7) autonomy of judgment in choosing a polymeric material for the type of application required
8) communication skills in presenting the topics covered.

Learning objectives

The course aims at introducing the students to a general knowledge of the materials fundamental properties, linking them with the lattice structures and properties. The main structural differences among dielectrics, metals and semiconductors will be analysed. In particular the most important materials for the Nuclear Fusion (steels and superconductors). Moreover, the course aims at providing a good enough knowledge to design control systems for dynamic processes.
The expected learning results are: (i) the knowledge of the theoretical contents of the course (Dublin descriptor n°1), (ii) the competence in presenting technical argumentation skills (Dublin descriptor n°2), (iii) autonomy of judgment (Dublin descriptor n°3) in proposing the most appropriate approach to argue the request and (iv) the students' ability to express the answers to the questions proposed by the Commission with language properties, to support a dialectical relationship during discussion and to demonstrate logical-deductive and summary abilities in the exposition (Dublin descriptor n°4).

Learning objectives

The course is the continuation of the courses of "Mechanical Design and Construction of Machines" given during the first degree in Industrial Engineering. Teaching is aimed at completing the student's preparation in the typical topics of the field and enables him to acquire the skills described below.
EXPECTED LEARNING RESULTS
- Knowledge and Understanding Capabilities: Advanced knowledge on calculation, design and verification of mechanical structures and mechanical components where stress and deformation states are biaxial or triaxial, stressed both in elastic and over-stress and subjected to thermal fields, by using either theoretical-analytical methods or numerical methods.
- Applying Knowledge and Understanding: Ability to design and / or verify structural elements and mechanical groups of industrial interest, ensuring their suitability for service also in reference to sectoral regulations.
- Making Judgment: To be able to interpret sizing results and to prepare the structural optimization of it.
- Communication Skills: Being able to describe scientific issues related to mechanical design and technical drawing in written and oral form.
- Learning Skills: Advanced knowledge on calculation, design and verification of mechanical structures and mechanical components where stress and deformation states are biaxial or triaxial, stressed both in elastic and over-stress and subjected to thermal fields, by using either theoretical-analytical methods or numerical methods.

Learning objectives

The aim of the course is to present machining systems, with particular attention to material-removing ones. In addition, the programming methods for numerical control machines and non-conventional machining will be discussed.
The student is expected to acquire accurate knowledge of the main technologies and special processing systems adopted in industry. In particular, the student is expected to develop the ability to analyse production systems, with particular reference to stock-removing ones, from the planning and optimization point of view. The complexity of production systems will be described and analysed to evaluate their performances, through the relevant indicators such as system resources utilization coefficients, production rate, throughput time, etc.
Expected learning outcomes:
1) Knowledge and understanding: knowledge of material-removing machining and production cycles for a mechanical component.
2) Applying knowledge and understanding: knowledge of the basic optimization techniques of fabrication cycle of material-removing machining, in order to identify and design the production phases and process parameters.
3) Making judgements: knowledge of the main issues related to the production of a mechanical component.
4) Communication skills: preliminary plan of stock-removing operations, programming in machine language.
5) Learning skills: drawing up the manufacturing cycles of mechanical components and their economic evaluation.

Learning objectives

The course aims at enhancing the comprehension of natural environmental processes and at introducing major traditional and remote environmental sensing techniques. The course provides concepts and methodologies to address engineering design in context where monitoring major environmental variables is necessary.
The course aim is the knowledge of hydrological processes monitoring. Specifically, the course will focus on instrumentations and sensing techniques useful for observing environmental parameters.
It is possible to identify three main aims:
1. Refresh of notions about hydrological processes and their modelling, with particular emphasis of river discharge and precipitations.
2. Learning about instruments and sensing techniques for hydrological observations.
3. Learning and applying innovative approaches based on image analysis.
Expected outcomes following the Dublin descriptors:
Knowledge and understanding: hydrological phenomena, specifically, rainfall and runoff formation. Common practice of data collection and measurements in hydrology.
Applying knowledge and understanding: the concepts with a more technical and applicative implication (tools and approaches for the measurement and estimation of hydrological variables) will be consolidated through both traditional (exercises) and advanced (small experiments to be developed independently) practical labs.
Making judgements - Communication skills - Learning skills: students will be asked to develop a project that, in addition to providing a practical example for estimating river flow velocity, will allow them to investigate on the role of the image analysis. The project will be assigned without a rigid scheme, students will be invited to identify a scientific question on which they can investigate with the software application. During the project they will identify the answer to the scientific question and motivate their conclusions. Setting small groups and interacting with the lecturer will stimulate Making judgements - Communication skills - Learning skills under the hydrological perspective.

Learning objectives

The course will provide the basics necessary to physical (module II) and engineering (module I) understanding of fusion nuclear energy systems covering topics from magnetic confinement and plasma physics to plasma surface interaction, reactor materials, control systems and mechanics. The main objectives are (a) knowledge and key aspects of engineering, technology and physics associated with the ' magnetic fusion energy, (b) identification of the main features nuclear fusion tokamak devices , (c) knowledge of the state of the international research (JET, EAST, ASDEX) and perspectives of fusion nuclear energy (next experimental machines as DTT, ITER and DEMO).
The expected learning results are: (i) the knowledge of the theoretical contents of the course (Dublin descriptor n°1), (ii) the competence in presenting technical argumentation skills (Dublin descriptor n°2), (iii) autonomy of judgment (Dublin descriptor n°3) in proposing the most appropriate approach to argue the request and (iv) the students' ability to express the answers to the questions proposed by the Commission with language properties, to support a dialectical relationship during discussion and to demonstrate logical-deductive and summary abilities in the exposition (Dublin descriptor n°4).

Learning objectives

The course will provide the basics necessary to engineering understanding of fusion nuclear energy systems covering topics from magnetic confinement and plasma physics to plasma surface interaction, reactor materials, control systems and mechanics. The main objectives are (a) knowledge and key aspects of engineering, technology and physics associated with the ' magnetic fusion energy, (b) identification of the main features nuclear fusion tokamak devices , (c) knowledge of the state of the international research (JET, EAST, ASDEX) and perspectives of fusion nuclear energy (next experimental machines as DTT, ITER and DEMO).
The expected learning results are: (i) the knowledge of the theoretical contents of the course (Dublin descriptor n°1), (ii) the competence in presenting technical argumentation skills (Dublin descriptor n°2), (iii) autonomy of judgment (Dublin descriptor n°3) in proposing the most appropriate approach to argue the request and (iv) the students' ability to express the answers to the questions proposed by the Commission with language properties, to support a dialectical relationship during discussion and to demonstrate logical-deductive and summary abilities in the exposition (Dublin descriptor n°4).

Teacher's Profile

courseProgram

1. INTRODUCTION AND EQUILIBRIUM CONFIGURATIONS. Introduction to energy fusion. Magnetic flux e field: normalized flux and radius coordinates. Equilibrium of an axisymmetric toroidal configuration; derivation of Grad-Shafranov equation; plasma shape in a tokamak.
2. INTRODUCTION TO PLASMA PHYSICS. Classification of plasmas, Debye length, collisions between charged particles, collisional slowing-down, plasma resistivity. Fusion reactor scheme, power balance, Lawson criterion, Ideal ignition temperature.
3. PLASMA DIAGNOSTICS, CIRCUIT MODELS AND HEATING. General description of main plasma diagnostics. Magnetic diagnostics. Circuit models (for plasma, poloidal field coils and conducting structures); transformers; plasma current induction; magnetic flux balance; time evolution of tokamak scenarios; tokamak time scales. Introduction to plasma current, position, shape control systems: plasma radial position and current control, vertical stabilization of elongated plasma. Eddy currents and magnetic forces. Overview of Plasma Heating and Current Drive.
4. TOKAMAK LOAD ASSEMBLY: FROM CONCEPTUAL DESIGN TO REALIZATION. Introduction. Toroidal Field Coil System. Poloidal Field Coil System. Vacuum Vessel. Divertor and First Wall. Cooling. Assembly maintenance (remote handling). Supply System.
5. NEUTRONIC. Basic neutron physics and breeding concept, introduction to neutron transport, neutronics and activation calculations. Introduction to neutron sources and material damage.
6. DISRUPTIONS, VDE, PLASMA SCENARIO, MAGNETIC DIAGNOSTICS. Review of Circuit models for plasma, poloidal field coils and conducting structures, Transformers, Plasma current induction, Magnetic flux balance. Time evolution of a tokamak scenario, Tokamak time scales, Disruptions and VDE, Eddy and halo currents, DTT VDEs. MAXFEA code: equilibrium and disruptions.
7. POWER EXHAUST ISSUES: PHYSICS AND TECHNOLOGY. Fundamental physics relations in the SOL, Validating our understanding in present devices. Numerical tools, Making the step to larger devices. Design of Actively Cooled Plasma Facing Components (PFCs), thermos-hydraulic design of a divertor plasma facing components. Preliminary investigation on W foams as protection strategy for advanced PFCs.
8. OVERVIEW ON TODAY POWER SUPPLY SYSTEMS FOR TOKAMAKS IN VIEW OF DEMO. The Problem of Energy Resources: Nuclear Fusion Power Plant, Power Supplies & Semiconductor Devices, Diodes & Thyristors, AC-DC Rectifiers, EU-DEMO Fusion Power Electrical System, Balance-Of-Plant (HCPB/WCLL); Major EU-DEMO subsystems (lessons learnt from ITER); EU DEMO Power Demand (SSEN–PPEN)
9. OPTIMIZATION AND INVERSE PROBLEMS IN MAGNETIC FUSION RESEARCH. Optimization Problems: Modelling, Optimization, Linear Programming, Linear Programming in Matlab, Quadratic Programming, Descent Methods, Exercises. Design of high flux expansion experiments in jet tokamak via optimization of the divertor coils current
10. SUPERCONDUCTORS: THEORY AND FUSION APPLICATION. The phenomenon of superconductivity: principles, phenomenology and materials. The main applications of superconductors. The technology of superconducting magnets for nuclear fusion: ITER and DTT.
11. THE ERA OF THE ATOM: ONE CENTURY AHEAD THE BOHR MODEL (seminar).
12. ADDITIONAL HEATING SCHEMES FOR TOKAMAKS. Scope of additional heatings, additional heating techniques, NBI, ICRH, ECRH, Task for HCD systems.
13. MECHANICAL AND ELECTROMAGNETIC FEM ANALYSIS OF TOKAMAKS COMPONENTS. Mechanical analysis of superconducting magnet systems: Central Solenoid (CS), Poloidal Field (PF) coils and Toroidal Field (TF) coils (FEM strategies: issues and applications (DEMO, DTT), Steady state and transient simulations. Liquid metals as PFC. Electromagnetic analysis of magnet system and metallic components (VV, in-vessel coils, etc.), Steady state and transient simulationsANSYS Workbench modules, Geometry (FE Modeler/SpaceClaim), Static structural, Contacts, cyclic symmetry, submodeling. Magnetostatic. ANSYS Maxwell, Geometry, Magnetostatics analysis, Transient analysis. Exercises and final project.
14. DYNAMIC MODEL OF BALANCE OF PLANT ON SIMULINK.

examMode

The exams will concern the topics of the course program. The complete exam consists of a written test and an oral exam. The written test consists of ten exercises concerning the main topics of the course. The time available to the written exam is approximately 2 hours. During the written tests, the use of any didactic materials (books, lecture notes) is allowed. The use of a calculator is also allowed, but only for the solution of exercises. To gain access to the oral exam, the candidates must reach a mark greater than or equal to 18/30. Finally, a joint homework will be also assigned during the course and will be discussed during the oral examination.
The written test is also aimed at assessing: (i) the level of knowledge of the theoretical contents of the course (Dublin descriptor n°1), (ii) the level of competence in presenting technical argumentation skills (Dublin descriptor n° 2), (iii) autonomy of judgment (Dublin descriptor n° 3) in proposing the most appropriate approach to argue the request.
The oral exam is also aimed at assessing: (i) the level of knowledge of the theoretical contents of the course (Dublin descriptor n° 1), (ii) the level of competence in presenting technical argumentation skills (Dublin descriptor n° 2), (iii) autonomy of judgment (Dublin descriptor n° 3) in proposing the most appropriate approach to argue the request.
The oral test also aims to verify students' ability to express the answers to the questions proposed by the Commission with language properties, to support a dialectical relationship during discussion and to demonstrate logical-deductive and summary abilities in the exposition (Dublin descriptor n° 4).

books

Lecture Notes and presentations
Wesson, Tokamaks, Oxford University Press
Pucella, Segre, Fisica dei plasmi, Zanichelli
Ariola, Pironti, Magnetic Control and Tokamak Plasmas, Springer

classRoomMode

Attendance of the lessons is not mandatory. However, it is recommended to follow the lessons in the classroom or remotely, when available.

bibliography

Lecture Notes and presentations
Wesson, Tokamaks, Oxford University Press
Pucella, Segre, Fisica dei plasmi, Zanichelli
Ariola, Pironti, Magnetic Control and Tokamak Plasmas, Springer

Learning objectives

The course will provide the basics necessary to physical understanding of fusion nuclear energy systems covering topics from magnetic confinement and plasma physics to plasma surface interaction, reactor materials, control systems and mechanics. The main objectives are (a) knowledge and key aspects of engineering, technology and physics associated with the ' magnetic fusion energy, (b) identification of the main features nuclear fusion tokamak devices, (c) knowledge of the state of the international research (JET, EAST, ASDEX) and perspectives of fusion nuclear energy (next experimental machines as DTT, ITER and DEMO).
The expected learning results are: (i) the knowledge of the theoretical contents of the course (Dublin descriptor n°1), (ii) the competence in presenting technical argumentation skills (Dublin descriptor n°2), (iii) autonomy of judgment (Dublin descriptor n°3) in proposing the most appropriate approach to argue the request and (iv) the students' ability to express the answers to the questions proposed by the Commission with language properties, to support a dialectical relationship during discussion and to demonstrate logical-deductive and summary abilities in the exposition (Dublin descriptor n°4).

Teacher's Profile

courseProgram


1. INTRODUCTION AND EQUILIBRIUM CONFIGURATIONS. Introduction to energy fusion. Magnetic flux e field: normalized flux and radius coordinates. Equilibrium of an axisymmetric toroidal configuration; derivation of Grad-Shafranov equation; plasma shape in a tokamak.
2. INTRODUCTION TO PLASMA PHYSICS. Classification of plasmas, Debye length, collisions between charged particles, collisional slowing-down, plasma resistivity. Fusion reactor scheme, power balance, Lawson criterion, Ideal ignition temperature.
3. PLASMA DIAGNOSTICS, CIRCUIT MODELS AND HEATING. General description of main plasma diagnostics. Magnetic diagnostics. Circuit models (for plasma, poloidal field coils and conducting structures); transformers; plasma current induction; magnetic flux balance; time evolution of tokamak scenarios; tokamak time scales. Introduction to plasma current, position, shape control systems: plasma radial position and current control, vertical stabilization of elongated plasma. Eddy currents and magnetic forces. Overview of Plasma Heating and Current Drive.
4. TOKAMAK LOAD ASSEMBLY: FROM CONCEPTUAL DESIGN TO REALIZATION. Introduction. Toroidal Field Coil System. Poloidal Field Coil System. Vacuum Vessel. Divertor and First Wall. Cooling. Assembly maintenance (remote handling). Supply System.
5. NEUTRONIC. Basic neutron physics and breeding concept, introduction to neutron transport, neutronics and activation calculations. Introduction to neutron sources and material damage.
6. DISRUPTIONS, VDE, PLASMA SCENARIO, MAGNETIC DIAGNOSTICS. Review of Circuit models for plasma, poloidal field coils and conducting structures, Transformers, Plasma current induction, Magnetic flux balance. Time evolution of a tokamak scenario, Tokamak time scales, Disruptions and VDE, Eddy and halo currents, DTT VDEs. MAXFEA code: equilibrium and disruptions.
7. POWER EXHAUST ISSUES: PHYSICS AND TECHNOLOGY. Fundamental physics relations in the SOL, Validating our understanding in present devices. Numerical tools, Making the step to larger devices. Design of Actively Cooled Plasma Facing Components (PFCs), thermos-hydraulic design of a divertor plasma facing components. Preliminary investigation on W foams as protection strategy for advanced PFCs.
8. OVERVIEW ON TODAY POWER SUPPLY SYSTEMS FOR TOKAMAKS IN VIEW OF DEMO. The Problem of Energy Resources: Nuclear Fusion Power Plant, Power Supplies & Semiconductor Devices, Diodes & Thyristors, AC-DC Rectifiers, EU-DEMO Fusion Power Electrical System, Balance-Of-Plant (HCPB/WCLL); Major EU-DEMO subsystems (lessons learnt from ITER); EU DEMO Power Demand (SSEN–PPEN)
9. OPTIMIZATION AND INVERSE PROBLEMS IN MAGNETIC FUSION RESEARCH. Optimization Problems: Modelling, Optimization, Linear Programming, Linear Programming in Matlab, Quadratic Programming, Descent Methods, Exercises. Design of high flux expansion experiments in jet tokamak via optimization of the divertor coils current
10. SUPERCONDUCTORS: THEORY AND FUSION APPLICATION. The phenomenon of superconductivity: principles, phenomenology and materials. The main applications of superconductors. The technology of superconducting magnets for nuclear fusion: ITER and DTT.
11. THE ERA OF THE ATOM: ONE CENTURY AHEAD THE BOHR MODEL (seminar).
12. ADDITIONAL HEATING SCHEMES FOR TOKAMAKS. Scope of additional heatings, additional heating techniques, NBI, ICRH, ECRH, Task for HCD systems.
13. MECHANICAL AND ELECTROMAGNETIC FEM ANALYSIS OF TOKAMAKS COMPONENTS. Mechanical analysis of superconducting magnet systems: Central Solenoid (CS), Poloidal Field (PF) coils and Toroidal Field (TF) coils (FEM strategies: issues and applications (DEMO, DTT), Steady state and transient simulations. Liquid metals as PFC. Electromagnetic analysis of magnet system and metallic components (VV, in-vessel coils, etc.), Steady state and transient simulations. ANSYS Workbench modules, Geometry (FE Modeler/SpaceClaim), Static structural, Contacts, cyclic symmetry, submodeling. Magnetostatic. ANSYS Maxwell, Geometry, Magnetostatics analysis, Transient analysis. Exercises and final project.
14. DYNAMIC MODEL OF BALANCE OF PLANT ON SIMULINK.

examMode

The exams will concern the topics of the course program. The complete exam consists of a written test and an oral exam. The written test consists of ten exercises concerning the main topics of the course. The time available to the written exam is approximately 2 hours. During the written tests, the use of any didactic materials (books, lecture notes) is allowed. The use of a calculator is also allowed, but only for the solution of exercises. To gain access to the oral exam, the candidates must reach a mark greater than or equal to 18/30. Finally, a joint homework will be also assigned during the course and will be discussed during the oral examination.
The written test is also aimed at assessing: (i) the level of knowledge of the theoretical contents of the course (Dublin descriptor n°1), (ii) the level of competence in presenting technical argumentation skills (Dublin descriptor n° 2), (iii) autonomy of judgment (Dublin descriptor n° 3) in proposing the most appropriate approach to argue the request.
The oral exam is also aimed at assessing: (i) the level of knowledge of the theoretical contents of the course (Dublin descriptor n° 1), (ii) the level of competence in presenting technical argumentation skills (Dublin descriptor n° 2), (iii) autonomy of judgment (Dublin descriptor n° 3) in proposing the most appropriate approach to argue the request.
The oral test also aims to verify students' ability to express the answers to the questions proposed by the Commission with language properties, to support a dialectical relationship during discussion and to demonstrate logical-deductive and summary abilities in the exposition (Dublin descriptor n° 4).

books

Lecture Notes and presentations
Wesson, Tokamaks, Oxford University Press
Pucella, Segre, Fisica dei plasmi, Zanichelli
Ariola, Pironti, Magnetic Control and Tokamak Plasmas, Springer

classRoomMode

Attendance of the lessons is not mandatory. However, it is recommended to follow the lessons in the classroom or remotely, when available.

bibliography

Lecture Notes and presentations
Wesson, Tokamaks, Oxford University Press
Pucella, Segre, Fisica dei plasmi, Zanichelli
Ariola, Pironti, Magnetic Control and Tokamak Plasmas, Springer

Learning objectives

The objective of the module is the comprehension of the basic physics involved in powertrains:
- Provide the theoretical and analytical bases for understanding basic thermo-fluid dynamic processes within traditional and innovative powertrains.
- Provide methods and instruments for the design of powertrain components.
Expected results:
Coherently with the SUA-CdS objectives, the expected results are:
- Knowledge of the physical foundations and mathematical instruments useful for understanding the powertrain working principles (Dublin descriptors 1 and 5);
- Capacity of utilizing the methodologies for the design powertrain components (Dublin descriptors 2 and 3).

Teacher's Profile

courseProgram

Internal combustion engines: Air manifolds, fuel delivery systems, pollutant emissions, engine cooling, engine modeling, engine control
Fuel cells: working principles, PEM,SOFC. MCFC
Electric and hybrid systems.

examMode

The exam consists of an oral and a homework. The fulfillment of the homework part is mandatory for the subsequent oral part.

The homework consist in a personal research work on one specific topic covered during the lectures. A student personal contribution is expected. Methodology, numerical results, literature analysis, and presentation will determine the mark. The minimum mark to access the oral part is 15/30.

The oral test evaluate the level of confidence of the student with the theoretical foundations of the course (superficial, appropriate, precise, complete, complete and thorough).

The final mark is the average of homework and oral part marks.

books

G. Ferrari, motori a combustione interna Ed. Esculapio
J. B. Heywood, Internal combustion engines fundamentals, Ed. McGraw-Hill

mode

Classroom lessons and exercises

classRoomMode

Non compulsory lessons.

bibliography

G. Ferrari, motori a combustione interna Ed. Esculapio
J. B. Heywood, Internal combustion engines fundamentals, Ed. McGraw-Hill

Learning objectives

The course aims to provide to the students the following learning outcomes:
- to present methods and tools for the geometrical modelling and simulation
- to illustrate methods and tools for the creation and use of virtual prototypes to be used during the design and validation, as well as along the whole product lifecycle.7
- to illustrate innovative and standard techniques and technologies for the interaction with the virtual prototype.
- to face the issues related to virtual modelling in specific application contexts and related to the use of innovative industrial design technologies.
Expected learning outcomes:
1. Knowledge and understanding: to know the most relevant themes about solid and surface modelling; to know the role of virtual prototypes in the product development process; to know the most relevant tools to support the design and management of the product life cycle
2. Applying knowledge and understanding: to be able to use solid modelling and virtual prototyping tools; to be able to use design for X techniques; to be able to use life cycle design and management techniques
3. Making judgements: to be able to choose the most appropriate virtual prototyping tools to support the different product development phases
4. Communication skills: to demonstrate expertise on subjects related to virtual prototyping; to know and be able to correctly use the language and terminologies to communicate orally or in written form a project realized by using virtual prototyping techniques
5. Learning skills: to be able to autonomously use tools and methods related to virtual prototyping.

Teacher's Profile

courseProgram

- The design phase: methods and tools
- Formal methods for the industrial product design
- The systematic product desin process
- Methods and technoques for product representation
- Modelling and representation techniques for solid bodies and surfaces
- Geometrical modelling tools
- Virtual prototypes and simulation techniques
- Finite element modelling and simulation
- Finite element tools
- Methods and tools for Design for X
- Life Cycle Thinking and Design
- Life Cycle Assessment

examMode

The exam will be organized in two different tests:
- a practical exam consisting in the development of a design project by applying one or more design/simulation methods/tools explained during the course to evaluate the acquired knowledge, the capacity to use this knowledge and the student autonomy
- an oral exam to verify the theoretical preparation of students about all the topics explained during the course and the ability to communicate the acquired knowledge

books

Teaching material distributed by the teacher

mode

Frontal lessons: 32 hours
Exercises: 16 hours

classRoomMode

The attendance is optional

bibliography

- Pahl G., Beitz W., Feldhusen J. Grote G.H., 2007, "Engineering Design: A systematic Approach", 3rd Edition, Springer.
- Bordegoni M., Rizzi C., 2011, "Innovation in Product Design: From CAD to Virtual Prototyping", 1st Edition, Springer.
- Goldman R., 2009, "An integrated Introduction to Computer Graphics and Geometric Modeling", CRC Press.
- Belingardi G., 1999, "Il Metodo degli Elementi Finiti nella Progettazione Meccanica”, Levrotto&Bella.
- Chen X., Liu Y, 2014, “Finite Element Modeling and Simulation with ANSYS Workbench”, CRC Press.
- Kurz M., 2007, “Environmentally Conscious Mechanical Design", Wyley.
- Ashby M., 2010, "Materials Selection in Mechanical Design", Butterworth-Heinemann

Learning objectives

The course aims to give the students fundamental concepts and applicative knowledge of hydrogen technologies, covering all the steps of the value chain: production, storage and final use. Both conventional and innovative technologies are discussed to give the students the basic skills required to work in the hydrogen sector.
In particular, at the end of the course the student is expected to have the following knowledge:
- knowledge of hydrogen production systems
- knowledge of hydrogen storage systems
- knowledge of hydrogen final uses
Furthermore, at the end of the course the student is expected to have the following skills:
- ability to outline schemes and processes of thermochemical hydrogen production plants
- ability to choose renewable hydrogen production systems based on the type of application
- ability to choose hydrogen storage systems based on the production method and final use
- ability to analyze hydrogen final-use scenarios
Expected learning outcomes:
Knowledge and understanding: understand the fundamental principles associated with the techno-economic analysis of hydrogen systems.
Applying knowledge and understanding: by carrying out case studies, the student will be encouraged to develop an applicative skills on the methodologies and techniques acquired.
Making judgments: being able to apply the acquired knowledge to solve simple problems in the techno-economic analysis of hydrogen systems.
Communication skills: knowing how to explain, both in written and oral form, the problem and possible solutions to simple situations concerning the techno-economic analysis of hydrogen systems.
Learning skills: knowing how to collect information from textbooks and other material for the autonomous solution of problems related to the verification of hydrogen systems.

Learning objectives

The student will acquire the basic skills to develop the mechanization of the operations of the main agricultural, forestry and green maintenance sites.
In particular, he will be able to choose suitable machines for quality work (knowing materials, operating modes) and respecting constraints on mechanization (economic, environmental, safety, etc.).
Expected learning outcomes:
• Knowledge and understanding skills: the student will acquire knowledge and understanding about the principles underlying the design and operation of machines and plants and know how to introduce them into agricultural, forestry and green maintenance sites, while respecting various constraints.
• Ability to apply knowledge and understanding: the student will acquire the skills to apply the theoretical knowledge of the topics dealt in the course with a critical sense for the identification of individual machines, a park of machinery or plant for agricultural, forestry and green maintenance yards.
• Autonomy of judgment: the student will be able to select specific machines and plants suitable for the various types of agricultural, forestry and green maintenance sites, in an objective way, without letting them be influenced by the machine manufacturers and also respecting the social, scientific or ethics related to each decision of mechanization.
• Communicative Skills: the student will be able to communicate machine and plant information and their technical and economic requirements to third parties (employers, clients such as farms, forestry companies, etc.), motivating their choices.
• Learning ability: the articulation of the course will be developed in such a way as to convey to the students at first the "transversal" basic concepts, regarding any type of machine. Next, individual types of machines will be treated (most commonly in agricultural, forestry and green maintenance sites). The topics will be dealt with in order to stimulate the will to learn, in the logic of gradually developing knowledge, from mechanical materials and principles, to building and safety aspects, to machine management. The same logic is required in the creation of a textbook or presentation that will be taken into account in the assessment of learning.

Teacher's Profile

courseProgram

Presentation of the course. Objectives of mechanization for biosystems. Definition of machine and plant. (4 h)
Levels of mechanization and evolution of mechanization for biosystems. (2 h)
Basic concepts of mechanics and physics applied to machinery (grip, longitudinal and transversal stability). (6 h)
General and functional characteristics of the main categories of machinery for biosystems: agricultural and forestry tractors; machines for ground working; construction equipment; machines for cultivation and for planting; machines for care and protection; harvesting machines; machines for cutting and sawing; machines for delimbing and debarking; machines for shredding and chopping; machines for transport and load; winches; cableways. (12 h)
Concept of work capacity and efficiency of a machine. Machine's management. (4 h)
Concepts of safety: the Machinery Directive and Regulation. (6 h)
Concepts of hygienic risk: assessment and prevention of occupational diseases. (10 h)
Concepts of ergonomics: the man-machine and man-workplace relation. (8 h)

examMode

The oral exam will be aimed at evaluating the basic knowledge of the physical technologies used in the main types of machines and plants for biosystems. In particular, the candidate must demonstrate to have acquired a good knowledge of the technical and organizational aspects necessary for a correct choice and management of the machines.
The candidate, in the context of flipped classroom, will illustrate a specific machine, previously assigned, by means of a Power Point presentation in the classroom. In particular, it must report on: - description of the machine (constituent parts, materials used, principle of operation); - safety aspects in the use of the machine; - management costs. Two other questions will go over the whole course program. The presentation and the two questions will be evaluated with a score from 0 to 10. The final score will be given by the sum of the three individual scores.
For the attribution of the score, the level of knowledge of the contents shown and the ability to apply the concepts learned will be taken into account; synthesis and language properties will also be taken into consideration.

books

Lesson notes.
P. Biondi, Meccanica agraria - Le macchine agricole, UTET, 1999 Torino.
P. Amirante, Lezioni di meccanica agraria
G. Hippoliti, Appunti di meccanizzazione forestale, Società Editrice Fiorentina, 1997 Firenze.

classRoomMode

Attendance of the lessons is not mandatory. However, it is recommended to follow the lessons in the classroom or remotely, when available.

bibliography

https://www.researchgate.net/publication/296189205_Lezioni_di_Meccanica_Agraria
https://www.researchgate.net/publication/296192148_Lezioni_di_Meccanica_Agraria_vol_2
https://www.researchgate.net/publication/296191980_Lezioni_di_Meccanica_Agraria_vol_3

Learning objectives

The course intends to prepare students with knowledge on the main biological bioconversion processes of organic substance. It involves the study of biotechnological processes in applications aimed at energy production. The student will have the opportunity to learn the possible factors affecting bioprocesses, learning to evaluate the appropriate conditions in setting up bioprocesses in a context of environmental sustainability. Finally, the student will be able to communicate with technical-scientific terminology the dynamics occurring during the development of bioprocesses.
Knowledge and understanding: comprehend the fundamental principles of bioconversion processes and biotechnological techniques applied to energy production. Understand the factors that influence bioprocesses and the optimal conditions for their setup in an environmentally sustainable context.
Applied knowledge and understanding: through case studies, the student will be encouraged to develop practical skills in bioprocesses, evaluating the influence of various factors and optimizing operational conditions.
Independent judgment: be able to apply the acquired knowledge to solve practical problems in bioprocesses, formulating critical judgments on the dynamics and effectiveness of the proposed solutions.
Communication skills: be able to clearly present, both in writing and orally, the processes and dynamics involved in bioprocesses, using appropriate technical-scientific language.
Learning skills: be able to gather information from scientific texts and other sources to independently solve problems related to bioprocesses and their optimization.

Learning objectives

Knowledge and understanding: the student will be aware from a technical point of view of energy plants where biomasses and organic wastes are used.
Applying Knowledge and understanding: the student will be able to apply the acquired knowledge to choose the most suitable type of energy conversion process according to the type of biomass and the energy vector to be produced.
Making judgments: the student will became capable to judge the different options available given the nature of the feedstock available (kind of biomass, kind of organic waste) and the technological opportunities to valorize it as bioenergy.
Communication skills: the student will be capable to efficiently communicate concerning bio-energy options, processes and plants.
Learning skills the student will be taught that significant bioenergy process advancements are in progress, and that he/she should keep him/herself updated on the last technological outcomes that face the bio-energy market.

Learning objectives

The course intends to prepare students with knowledge on the main biological bioconversion processes of organic substance. It involves the study of biotechnological processes in applications aimed at energy production. The student will have the opportunity to learn the possible factors affecting bioprocesses, learning to evaluate the appropriate conditions in setting up bioprocesses in a context of environmental sustainability. Finally, the student will be able to communicate with technical-scientific terminology the dynamics occurring during the development of bioprocesses.
Knowledge and understanding: comprehend the fundamental principles of bioconversion processes and biotechnological techniques applied to energy production. Understand the factors that influence bioprocesses and the optimal conditions for their setup in an environmentally sustainable context.
Applied knowledge and understanding: through case studies, the student will be encouraged to develop practical skills in bioprocesses, evaluating the influence of various factors and optimizing operational conditions.
Independent judgment: be able to apply the acquired knowledge to solve practical problems in bioprocesses, formulating critical judgments on the dynamics and effectiveness of the proposed solutions.
Communication skills: be able to clearly present, both in writing and orally, the processes and dynamics involved in bioprocesses, using appropriate technical-scientific language.
Learning skills: be able to gather information from scientific texts and other sources to independently solve problems related to bioprocesses and their optimization.

CHOICE GROUPSYEAR/SEMESTERCFUSSDLANGUAGE
MODULE II -9 - -
119572 - ITALIAN LANGUAGE – BEGINNER/PRE-INTERMEDIATE

ERIKA CIVERO

First Year / First Semester 3ITA
119568 - INTERNSHIP AND SEMINARS - OTHER ACTIVITIESFirst Year / Second Semester 9eng
119569 - BIOMECHANICS LABORATORY

JURI TABORRI

First Year / Second Semester 3eng
119949 - ITALIAN LANGUAGE - PRE-INTERMEDIATE/INTERMEDIATE

ERIKA CIVERO

First Year / Second Semester 3ita
120015 - INTERNSHIP AND SEMINARS - OTHER ACTIVITIESFirst Year / Second Semester 3ENG
120014 - INTERNSHIP AND SEMINARS - OTHER ACTIVITIESFirst Year / Second Semester 6ENG
120369 - TECHNIQUES FOR MATERIALS CHARACTERISATION

CLAUDIA PELOSI

First Year / Second Semester 3eng
MODULE II -9 - -
120361 - POLYMER COMPOSITES - 9--
120361_1 - MODULE II

ILARIA ARMENTANO

First Year / First Semester6FIS/01ita
120361_2 - MODULE II

CLAUDIA PELOSI

First Year / First Semester3CHIM/12ita
MODULE II -12 - -
119556 - NUMERICAL THERMO-FLUID DYNAMICS

MAURO SCUNGIO

First Year / First Semester 6ING-IND/10eng
MODULE II -12 - -
119558 - NEW MATERIALS FOR ENERGY

FLAVIO CRISANTI

First Year / Second Semester 6FIS/07eng
MODULE II -9 - -
119553 - ENVIRONMENTAL MONITORING FOR ENGINEERING DESIGN

ANDREA LUIGI FACCI

Second Year / First Semester 9AGR/08eng
119566 - NUCLEAR FUSION Second Year / First Semester 9ING-IND/31eng
MODULE II -12 - -
119561 - NON DESTRUCTIVE TESTING AND EVALUATION

JURI TABORRI

Second Year / First Semester 6ING-IND/12eng
119560 - INTERNAL COMBUSTION ENGINES FUNDAMENTALS

ANDREA LUIGI FACCI

Second Year / Second Semester 6ING-IND/08eng
119574 - ADDITIVE MANUFACTURING - 6--
119574_1 - MODULE II

EMANUELE MINGIONE

Second Year / Second Semester3ING-IND/15eng
119574_2 - MODULE II

EMANUELE MINGIONE

Second Year / Second Semester3ING-IND/16eng
MODULE II -6 - -
119562 - VIRTUAL PROTOTYPING

MARCO MARCONI

Second Year / First Semester 6ING-IND/15eng
119563 - HYDROGEN TECHNOLOGIES

STEFANO UBERTINI

Second Year / First Semester 6ING-IND/08eng
MODULE II -6 - -
119564 - MACHINES FOR BIOSYSTEMS

MASSIMO CECCHINI

Second Year / First Semester 6AGR/09eng
120362 - BIOENERGY - 6--
120362_1 - MODULE II

MARCO BARBANERA

Second Year / First Semester3ING-IND/11ita
120362_2 - MODULE II

SILVIA CROGNALE

Second Year / First Semester3BIO/19ita
MODULE II -9 - -
119568 - INTERNSHIP AND SEMINARS - OTHER ACTIVITIESSecond Year / Second Semester 9eng
119949 - ITALIAN LANGUAGE - PRE-INTERMEDIATE/INTERMEDIATE

ANDREINA VETRALLINI

Second Year / Second Semester 3ita
MODULE II -9 - -
119551 - ADVANCED FLUID MACHINERY AND ENERGY SYSTEMS

STEFANO UBERTINI

First Year / First Semester 9ING-IND/08eng
MODULE II -6 - -
119556 - NUMERICAL THERMO-FLUID DYNAMICS

MAURO SCUNGIO

First Year / First Semester 6ING-IND/10eng
MODULE II -9 - -
120361 - POLYMER COMPOSITES - 9--
120361_1 - MODULE IIFirst Year / First Semester6FIS/01ita
120361_2 - MODULE IIFirst Year / First Semester3CHIM/12ita
MODULE II -12 - -
119558 - NEW MATERIALS FOR ENERGYFirst Year / Second Semester 6FIS/07eng
MODULE II -18 - -
119555 - MACHINE DESIGN First Year / Second Semester 9ING-IND/14eng
119559 - UNCONVENTIONAL TECHNOLOGIES AND MANUFACTURINGFirst Year / Second Semester 9ING-IND/16eng
MODULE II -9 - -
120481 - ENERGY SYSTEMS - 9--
120481_1 - MODULE IISecond Year / First Semester6ING-IND/08ita
120481_2 - MODULE IISecond Year / First Semester3ING-IND/08ita
MODULE II -18 - -
120482 - THEORY OF MACHINES AND MECHANISMS 2Second Year / First Semester 6ING-IND/14ita
120484 - TECHNOLOGIES AND MANUFACTURING - 12--
120484_1 - MODULE IISecond Year / Second Semester6ING-IND/16ita
120484_2 - MODULE IISecond Year / Second Semester6ING-IND/16ita
MODULE II -9 - -
119553 - ENVIRONMENTAL MONITORING FOR ENGINEERING DESIGN

FLAVIA TAURO

Second Year / First Semester 9AGR/08eng
119566 - NUCLEAR FUSION - 9--
119566_1 - MODULE II

GIUSEPPE CALABRO'

Second Year / Second Semester5ING-IND/31eng
119566_2 - MODULE II

GIUSEPPE CALABRO'

Second Year / Second Semester4ING-IND/31eng
MODULE II -6 - -
120483 - INTERNAL COMBUSTION ENGINESecond Year / First Semester 6ING-IND/08ita
119560 - INTERNAL COMBUSTION ENGINES FUNDAMENTALS

ANDREA LUIGI FACCI

Second Year / First Semester 6ING-IND/08eng
MODULE II -6 - -
119562 - VIRTUAL PROTOTYPING

MARCO MARCONI

Second Year / First Semester 6ING-IND/15eng
119563 - HYDROGEN TECHNOLOGIESSecond Year / First Semester 6ING-IND/08eng
MODULE II -6 - -
119564 - MACHINES FOR BIOSYSTEMS

MASSIMO CECCHINI

Second Year / First Semester 6AGR/09eng
120362 - BIOENERGY - 6--
120362_1 - MODULE IISecond Year / First Semester3ING-IND/11ita
120362_2 - MODULE IISecond Year / First Semester3BIO/19ita
MODULE II -6 - -
120485 - COMPUTATIONAL FLUIS DYNAMICS AND SIMULATION OF POWER PLANTSSecond Year / Second Semester 6ING-IND/10ita
MODULE II -6 - -
_2 - MODULE IISecond Year / Second Semester 6ENG
MODULE II -15 - -
121234 - FINAL DISSERTATION UNITUS Second Year / Second Semester 15ENG
121235 - FINAL DISSERTATION NUSTPBSecond Year / Second Semester 15ENG
MODULE II -3 - -
120522 - FINITE ELEMENT METHODFirst Year / First Semester 3ING-IND/14ENG
120523 - SPECIAL CHAPTERS OF FLUID MECHANICS/MANUFACTURING TECHNOLOGY AND MANAGEMENTFirst Year / First Semester 3ING-IND/10ENG
120528 - MATERIALS AND STRUCTURES / DESIGN AND VISUAL IMPACTFirst Year / Second Semester 3ING-IND/15ENG