Mechanical Engineering

Educational objectives

A) Learning of basic knowledge of mathematical models of Continuum Mechanics based on Partial Differential Equations. Learning of the main perturbative methods: direct perturbative method, multiple scales and boundary layers.

B) Learning to set up and analyze problems for Partial Differential Equations. Learning to use the main perturbative methods when small parameters appear, also by means of qualitative analysis.

D), E) Development of the ability to understand qualitatively the solution, to exchange the results and to seek help in textbooks or from experts. In this connection, construction and graphical visualization of solutions obtained by symbolic calculus (MUPAD toolbox for MATLAB).

Educational objectives

Knowledge and understanding:
Knowledge and understanding of basic concepts of differential geometry: differentiable manifold, differentiable map, tangent bundle, vector field, flow of a field, tensor field, differential form, Lie group. Local theory of curves: Frenet formulas; local theory of surfaces: metric properties, gaussian curvature, Gauss theorem.

Skills and attributes:
Be able to calculate the Frenet apparatus of a curve defined by parametric or cartesian equations. Be able to calculate the gaussian curvature, principal curvatures and normal sections of a surface defined by parametric or cartesian equations. Be able to determine local coordinates on a manifold and write down transition
maps. Be able to study a differential map, using local coordinates. Find the tangent space to a manifold. Calculate the flow of a vector field. Be able to operate with tensors. Calculate line integrals and recognize exact forms.

Educational objectives

We expect the student to learn the use of sequences and series of functions (in particular Fourier and power series) and to reconstruct signals via Laplace tranform.

Educational objectives

The aim of the course is to present some models for structural elements of common use in engineering, and to give the students (semi-)analytical solutions for successive comparisons with the results of numerical commercial codes.

Educational objectives

The course provides knowledge about the origin and control of defects in metal structures, from the manufacture of materials or processing technologiesFor their control are called the basic physical principles and applied methods: radiography, ultrasonic, penetrant liquid and magnetic methods.

Educational objectives

Providing the student with a clear comprehension of the mechanisms producing aerodynamic forces on vehicles. Providing critical understanding of the main aerodynamic devices. Developing basic design skills for aerodynamic vehicle design.

Educational objectives

The course aims to provide practical tools necessary to critically evaluate and deal with engineering and economic models numerically.

Educational objectives

The lab aims to familiarize with the complex phenomenon of ultrasound propagation in bubbly liquids, offering applications able to make understandable the role of this phenomenon in multiple technical applications (such as microfluidics, ultrasound medical imaging or soundproofing materials). Doing this it will provide knowledge and skills of critical evaluation of complex systems.

Educational objectives

The course provides the necessary tools to study the dynamics of EMS-Electromechanical Systems and their control, including systems of rigid bodies. Applications to mechatronic systems are approached in the course.

Educational objectives

Course goals

Signal processing algorithms are embedded nearly in every application that involves natural signal or data analysis and/or synthesis. The aim of this course is to provide a basic, yet comprehensive, introduction to the mathematical background to support the analysis of measurements as well as diagnosis and control of machines.

The course reviews some of the most important mathematical methods of digital signal processing related to mechanical engineering, such as Discrete Fourier Transform (DFT), Short Time Fourier Transform (STFT), Wavelet Transform, Hilbert Transform and the Empirical Mode Decomposition, for the calculation of signal features in time and frequency domains. Exercises from example applications and on numerical signal processing are provided: the student will be guided to analyze real life signals with the aid of Matlab software.

At the end of the course, the student will be able to evaluate the effects of signal processing and analysis on measurement data from real life machines and structures. These skills are essential e.g. in machine diagnostics, control engineering, machine automation and robotics. After the course, the student:

• Is familiar with some of the most important methods of signal analysis in the field of mechanical engineering.
• Understands the basic concepts relating to the sampling of time domain signals and the corresponding frequency spectra.
• Knows the most commonly used features in mechanical engineering measurements and understands their significance in describing mechanical quantities.
• Understands what kind of mechanical phenomena can be identified by time, frequency domain analysis, and time-frequency analysis.
• Is introduced to some of very important effects of signal processing and analysis on the usability of measurement data for condition monitoring of mechanical structures.

In doing that, the student will be introduced to Matlab numerical computing environment, also with the support of shared codes and worked examples. The student will be guided to:
• Understand the basic concepts of discrete time signal processing.
• Understand how Matlab is used to perform analyses.
• Understanding the physical meaning of the results provided by Matlab.
• Solving mathematical/physical problems using Matlab.

Educational objectives

The Laboratory aims to provide the basic elements for the execution of a vertical action of technology transfer from one research institution to a small or medium enterprise

Educational objectives

Measurements of Fluid Machine Performances

Educational objectives

The objective of the laboratory focuses on the application of knowledge of traditional measurement systems and some of the advanced and distributed monitoring technologies for the conservation and restoration of cultural heritage. The laboratory or ON-field experimental activities will be defined individually or in groups with the students. Eligibility will be awarded after a personal presentation of the activities carried out.

Educational objectives

This Laboratory aims to connect the theoretical arguments considered in the course of Centrali Termiche and industrial applications. This is done also by developing small design projects or by considering effective conditions.

Educational objectives

RENEWABLE ENERGY SYSTEM DESIGN has the general training objective: an effective design of plants for distributed generation in urban and rural areas.
Specific objectives will therefore be: to understand both the energy demand and the potential of the electric or thermal generation in a territory on the basis of the lectures described in the program, supported by practical activities (a visit, a design, a power point presentation in the classroom).

Educational objectives

To provide students with the basics of of computerized calculation of frames of beams, either naturally discrete or discretized.

Educational objectives

The particularly professionalising characteristics of the discipline "Safety of Industrial Plants" suggests, in addition to theoretical training, practical training through the preparation of an executive project consistent with the contents of the 6 CFU course program.

Prerequisite for participation in the "​lab of industrial risk assessment and prevention" is therefore, passing the 6 CFU "Safety of Industrial Plants" course.

Educational objectives

Give the student the basic knowledge on the use of
laboratory equipment for automotive measures and allow the direct application
of concepts learned in the context of ongoing projects in the laboratory.

Educational objectives

To introduce the basic description of supersonic flows in internal/external flows also including heat transfer or dispersed particles motion. This will complement the competence of future Industrial Engineers in analyzing the dynamic of turbulent flows and the aero-acoustic phenomena occurring in industrial equipment. These arguments are not considered in the other courses held in Mechanical Engineering.

Educational objectives

The Laboratory of Numerical Fluid Dynamics Assisted by Machine Learning is an integrative activity which introduces the student to the operational aspects of the numerical simulation of flows and to the use of machine learning and automatic differentiation techniques in support of the study of fluid dynamics problems. The Laboratory offers students the opportunity to implement numerical solvers first-hand, to learn the methodologies of differentiable scientific computing, and to apply them to optimization and analysis problems of engineering interest, developing operational skills transferable to research and applied contexts.

Educational objectives

The course focuses on multibody modeling of vehicles and its subsystems. The student will acquire the fundamental elements to be able to develop and design a complete car or motorcycle by including the modeling of suspension elements with variable parameters and control systems for the implementation of actuators.

Educational objectives

The aim of the course is to develop skills in the ability of applying advanced knowledge about finite element calculations.

Educational objectives

Provide the theoretical and practical abilities to fabricate a functional component via Additive Manufacturing technologies. In particular: - cabability to manage, repair and process a 3D model; - choice of the process parameters taking into account the post-processing and the further secondary operations; - spread among several secondary operations typical of AM technologies; predict the cost and time needed for the entire process.

Educational objectives

The Aerodynamics of Vehicle Laboratory is a supplementary activity (3CFU) aimed to introduce
students to the modern numerical techniques employed in simulation of external turbulent flows. The
purpose is to allow the development of the capabilities needed to address problems concerning the
aerodynamics of transportation or racing vehicles.

Educational objectives

The laboratory is aimed at analyzing and looking for possible solutions of vibro-acoustic problems, through the study of aspects related to the modeling of problems (FEM, BEM, SEA) and their characterization through experimental tests.

Educational objectives

The course gives on-field experience to apply technologies of Industry 4.0. The course, as an extension of the Smart Factory course, develops one of its topics through the application of simulation models, business intelligence, machine learning, natural language processing, or defect detection and recognition.

Educational objectives

The aim of the course is to provide students with the basic knowledge needed to properly use the state of the art measurement systems in Experimental Biomechanics.

Educational objectives

The laboratory aims to provide the practical skills necessary for the tribological and dynamic analysis of mechanical systems. The basic notions will be explained and concretized through experimental and/or numerical tests aimed at applying the notions acquired during the respective courses.

Educational objectives

The lab objectives include advanced CAD-CAE methodologies to support design development and optimization. In particular reverse engineering techniques (acquisitions and post processing), CAE simulations and topological optimization in the field of Design for AM, Virtual prototyping by VR and AR devices (with focus on assembly, ergonomics, process optimization). All the students will attend a general presentation of these methods and related applications so that in the lab her/his practical activities will be a project developed by the synergy of several of these methodologies.

Educational objectives

To provide theoretical and practical tools to design, manufacture and race a formula-style autonomous driving vehicle eligible to take part to Formula Student international series into the DV (Driverless Vehicles) class.

Educational objectives

The apprenticeship allows to acquire credits through laboratory activities or through the attendance at scientific seminars certified and approved by the council.

Educational objectives

The apprenticeship allows to acquire credits through laboratory activities or through the attendance at scientific seminars certified and approved by the council.

Educational objectives

The course is aimed at the creation of a knowledge-base, in the student, on the main processing technologies, typical of metallic materials, in use or expected to be adopted in the anufacturing industry. This course aims also at provide some case studies of typical industrial applications which analyze specific technological aspects and limitations in order to give a technical-practical qualification to the student and solid knowledge of tools that will enable him to understand technological problems, to work by making innovations and structuring its actions in a logical way, developing capacity also
strongly requested by companies.

Educational objectives

The aim of the class is understanding the design workflow, its methods and tools, necessary to develop industrial products that accomplish client-company-community requirements as defined through product lifecycle. Lifecycle involves attention not only to the product performances but also to its production assessment and sustainability (integrated product-design), maintenance assessment and recycling. CAD-CAE-CAPP methodologies, integrated with CAx and Design for X methods, are studied in the context of virtual prototyping applications for lightweight design (through topological optimization and digital design),robust product-process design (through RSM techniques), ecodesign in circular economy (product configuration and innovation driven by lifecycle assessment). Exercises will be carried out through computational and CAD-CAE software. At the end of the course students will be able to set up a design workflow plan, choosing the most relevant requirements and design approaches, for any product of the industrial sector, driving innovation in accordance to the most updated design methodologies (virtual prototyping, virtual and augmented reality, reverse engineering). In addition, basics on the practical use of some CAD-CAE software will be also given.

Keywords: Product Lyfecycle, integrated product-process design, ecodesign, lightweight design, virtual prototyping, CAD-CAE-CAPP methods, circular economy, digital design

Educational objectives

Course outline:
The course provides the base knowledge and the necessary skills to use the Finite Element Method (FEM) as an effective tool in mechanical design.
In a first part, the theoretical background of matrix structural analysis and the fundamentals of the FE method are introduced, providing information on how a mechanical continuum can be studied and modelled through an equivalent discrete system.
A second part aims at the solutions of typical Machine Design problems using the Finite Element Method. Several exercises are proposed and solved in the classroom using a pc and a FE code (Ansys), with focus on:
- Structural elastic analyses, with examples ranging from solid mechanics structures to two and three dimensional mechanical components and systems.
- Elasto-plastic problems, to study forming processes, identify residual stresses, and to assess the structural integrity of parts made of ductile materials.
- Thermal and thermo-mechanical problems, with examples involving heat transmission by conduction and convection. Thermally induced stresses are addressed, too.
- Dynamic problems (highlights), to tackle transient problems involving time-varying loads and inertial effects. Modal analysis is also introduced.

Educational objectives

Aim of the course is to examine the criteria that must develop the design of a mechanical system. The criteria considered are the efficiency, stability, reliability, maintainability and quality. Finally the design of experiment (DOE) is analyzed as a tool for the design of experiments.

Educational objectives

OBJECTIVES. The course gives the key competences of operations management, both from an organisational-management and a technical-operational point of view. The expected learning outcomes are the capabilities to analyse the relationship of market and supply chain, the role and processes of the company within the supply chain, and the applying knowledge and understanding of the methodologies for production and inventory management.
EXPECTED LEARNING OUTCOMES. Knowledge and understanding: knowledge and understanding of the most important processes and techniques for operations management, and supply chain management. Models and methods for materials management, for the production configuration, the calculation of economic production quantity, and the planning and programming techniques. Capability: capability to analyse with a systemic approach, model problems and identify the best techniques for solving the main challenges of supply chain management, production, and logistics, with a focus on production planning/programming and materials management.

Educational objectives

The course aims to provide students with the fundamentals necessary for the management of measurement instrumentation and the understanding of the biomechanical models used in the analysis and synthesis of human movement. The course, first of all, intends to describe to the student the working principles of sensors typically used in a motion analysis laboratory, including transducers used to measure force, position, velocity and displacement. Later, but with equal importance, the main processing techniques of experimental data are explained with the aim to identify the biomechanical variables that represent the kinematics and kinetics of human movement.

Educational objectives

The course introduces the student to vibroacoustic problems. The aim is to acquire the knowledge of the fundamental principles and techniques for modeling the radiation of vibrating structures with particular attention to the analysis and solution of coupled structural and acoustic problems and to acquire the tools for the analysis and design of systems for vibration and noise control.

Educational objectives

Learn a critical approach to tribological problems and their impact on sustainable development. Acquire conceptual tools for optimizing friction and wear. Acquire the knowledge for a design of mechanical systems that takes into account tribological issues, with a view to energy and functional optimization. Being able to analyze, simulate (experimentally or numerically), interpret and solve problems of friction and wear in mechanical systems, taking into consideration the constraints dictated by eco-tribology (pollution of particulates and lubricants, durability and sustainability of systems, … ). Be able to participate in development projects in the main industrial sectors: tribology of sliding and non-sliding contacts, tribology in extreme conditions (contacts subject to vibrations, high pressure, low and high temperatures, …), bio-tribology. The course is based on the presentation of theories and methods of contact investigation, in parallel with the presentation of current industrial problems and proposed methods of analysis and resolution.

Educational objectives

A) Learning of basic knowledge of mathematical models of Continuum Mechanics based on Partial Differential Equations. Learning of the main perturbative methods: direct perturbative method, multiple scales and boundary layers.

B) Learning to set up and analyze problems for Partial Differential Equations. Learning to use the main perturbative methods when small parameters appear, also by means of qualitative analysis.

D), E) Development of the ability to understand qualitatively the solution, to exchange the results and to seek help in textbooks or from experts. In this connection, construction and graphical visualization of solutions obtained by symbolic calculus (MUPAD toolbox for MATLAB).

Educational objectives

Knowledge and understanding:
Knowledge and understanding of basic concepts of differential geometry: differentiable manifold, differentiable map, tangent bundle, vector field, flow of a field, tensor field, differential form, Lie group. Local theory of curves: Frenet formulas; local theory of surfaces: metric properties, gaussian curvature, Gauss theorem.

Skills and attributes:
Be able to calculate the Frenet apparatus of a curve defined by parametric or cartesian equations. Be able to calculate the gaussian curvature, principal curvatures and normal sections of a surface defined by parametric or cartesian equations. Be able to determine local coordinates on a manifold and write down transition
maps. Be able to study a differential map, using local coordinates. Find the tangent space to a manifold. Calculate the flow of a vector field. Be able to operate with tensors. Calculate line integrals and recognize exact forms.

Educational objectives

We expect the student to learn the use of sequences and series of functions (in particular Fourier and power series) and to reconstruct signals via Laplace tranform.

Educational objectives

The subject aims to guide the student in understanding the principles of operation of AC machines at variable speed. The module will provide methods to analyze the behaviour of AC drives both in steady state and during transients. Finally, it will give the student knowledge on how torque is controlled in these machines.

Educational objectives

The course provides knowledge about the origin and control of defects in metal structures, from the manufacture of materials or processing technologiesFor their control are called the basic physical principles and applied methods: radiography, ultrasonic, penetrant liquid and magnetic methods.

Educational objectives

Leading the student to the clear comprehension of the basic mechanisms of turbulence in free and wall bounded flows. Leading the student to the clear comprehension of the basic mechanisms of turbulent combustion. Providing critical knowledge of the different regimes of turbulent combustion and of the effect of turbulence in reactive flows. Developing basic skill for combustor design.

Educational objectives

The course aims to provide practical tools necessary to critically evaluate and deal with engineering and economic models numerically.

Educational objectives

The lab aims to familiarize with the complex phenomenon of ultrasound propagation in bubbly liquids, offering applications able to make understandable the role of this phenomenon in multiple technical applications (such as microfluidics, ultrasound medical imaging or soundproofing materials). Doing this it will provide knowledge and skills of critical evaluation of complex systems.

Educational objectives

The course provides the necessary tools to study the dynamics of EMS-Electromechanical Systems and their control, including systems of rigid bodies. Applications to mechatronic systems are approached in the course.

Educational objectives

Course goals

Signal processing algorithms are embedded nearly in every application that involves natural signal or data analysis and/or synthesis. The aim of this course is to provide a basic, yet comprehensive, introduction to the mathematical background to support the analysis of measurements as well as diagnosis and control of machines.

The course reviews some of the most important mathematical methods of digital signal processing related to mechanical engineering, such as Discrete Fourier Transform (DFT), Short Time Fourier Transform (STFT), Wavelet Transform, Hilbert Transform and the Empirical Mode Decomposition, for the calculation of signal features in time and frequency domains. Exercises from example applications and on numerical signal processing are provided: the student will be guided to analyze real life signals with the aid of Matlab software.

At the end of the course, the student will be able to evaluate the effects of signal processing and analysis on measurement data from real life machines and structures. These skills are essential e.g. in machine diagnostics, control engineering, machine automation and robotics. After the course, the student:

• Is familiar with some of the most important methods of signal analysis in the field of mechanical engineering.
• Understands the basic concepts relating to the sampling of time domain signals and the corresponding frequency spectra.
• Knows the most commonly used features in mechanical engineering measurements and understands their significance in describing mechanical quantities.
• Understands what kind of mechanical phenomena can be identified by time, frequency domain analysis, and time-frequency analysis.
• Is introduced to some of very important effects of signal processing and analysis on the usability of measurement data for condition monitoring of mechanical structures.

In doing that, the student will be introduced to Matlab numerical computing environment, also with the support of shared codes and worked examples. The student will be guided to:
• Understand the basic concepts of discrete time signal processing.
• Understand how Matlab is used to perform analyses.
• Understanding the physical meaning of the results provided by Matlab.
• Solving mathematical/physical problems using Matlab.

Educational objectives

The Laboratory aims to provide the basic elements for the execution of a vertical action of technology transfer from one research institution to a small or medium enterprise

Educational objectives

Measurements of Fluid Machine Performances

Educational objectives

The objective of the laboratory focuses on the application of knowledge of traditional measurement systems and some of the advanced and distributed monitoring technologies for the conservation and restoration of cultural heritage. The laboratory or ON-field experimental activities will be defined individually or in groups with the students. Eligibility will be awarded after a personal presentation of the activities carried out.

Educational objectives

This Laboratory aims to connect the theoretical arguments considered in the course of Centrali Termiche and industrial applications. This is done also by developing small design projects or by considering effective conditions.

Educational objectives

RENEWABLE ENERGY SYSTEM DESIGN has the general training objective: an effective design of plants for distributed generation in urban and rural areas.
Specific objectives will therefore be: to understand both the energy demand and the potential of the electric or thermal generation in a territory on the basis of the lectures described in the program, supported by practical activities (a visit, a design, a power point presentation in the classroom).

Educational objectives

To provide students with the basics of of computerized calculation of frames of beams, either naturally discrete or discretized.

Educational objectives

The particularly professionalising characteristics of the discipline "Safety of Industrial Plants" suggests, in addition to theoretical training, practical training through the preparation of an executive project consistent with the contents of the 6 CFU course program.

Prerequisite for participation in the "​lab of industrial risk assessment and prevention" is therefore, passing the 6 CFU "Safety of Industrial Plants" course.

Educational objectives

Give the student the basic knowledge on the use of
laboratory equipment for automotive measures and allow the direct application
of concepts learned in the context of ongoing projects in the laboratory.

Educational objectives

To introduce the basic description of supersonic flows in internal/external flows also including heat transfer or dispersed particles motion. This will complement the competence of future Industrial Engineers in analyzing the dynamic of turbulent flows and the aero-acoustic phenomena occurring in industrial equipment. These arguments are not considered in the other courses held in Mechanical Engineering.

Educational objectives

The Laboratory of Numerical Fluid Dynamics Assisted by Machine Learning is an integrative activity which introduces the student to the operational aspects of the numerical simulation of flows and to the use of machine learning and automatic differentiation techniques in support of the study of fluid dynamics problems. The Laboratory offers students the opportunity to implement numerical solvers first-hand, to learn the methodologies of differentiable scientific computing, and to apply them to optimization and analysis problems of engineering interest, developing operational skills transferable to research and applied contexts.

Educational objectives

The course focuses on multibody modeling of vehicles and its subsystems. The student will acquire the fundamental elements to be able to develop and design a complete car or motorcycle by including the modeling of suspension elements with variable parameters and control systems for the implementation of actuators.

Educational objectives

The aim of the course is to develop skills in the ability of applying advanced knowledge about finite element calculations.

Educational objectives

Provide the theoretical and practical abilities to fabricate a functional component via Additive Manufacturing technologies. In particular: - cabability to manage, repair and process a 3D model; - choice of the process parameters taking into account the post-processing and the further secondary operations; - spread among several secondary operations typical of AM technologies; predict the cost and time needed for the entire process.

Educational objectives

The Aerodynamics of Vehicle Laboratory is a supplementary activity (3CFU) aimed to introduce
students to the modern numerical techniques employed in simulation of external turbulent flows. The
purpose is to allow the development of the capabilities needed to address problems concerning the
aerodynamics of transportation or racing vehicles.

Educational objectives

The laboratory is aimed at analyzing and looking for possible solutions of vibro-acoustic problems, through the study of aspects related to the modeling of problems (FEM, BEM, SEA) and their characterization through experimental tests.

Educational objectives

The course gives on-field experience to apply technologies of Industry 4.0. The course, as an extension of the Smart Factory course, develops one of its topics through the application of simulation models, business intelligence, machine learning, natural language processing, or defect detection and recognition.

Educational objectives

The aim of the course is to provide students with the basic knowledge needed to properly use the state of the art measurement systems in Experimental Biomechanics.

Educational objectives

The laboratory aims to provide the practical skills necessary for the tribological and dynamic analysis of mechanical systems. The basic notions will be explained and concretized through experimental and/or numerical tests aimed at applying the notions acquired during the respective courses.

Educational objectives

The lab objectives include advanced CAD-CAE methodologies to support design development and optimization. In particular reverse engineering techniques (acquisitions and post processing), CAE simulations and topological optimization in the field of Design for AM, Virtual prototyping by VR and AR devices (with focus on assembly, ergonomics, process optimization). All the students will attend a general presentation of these methods and related applications so that in the lab her/his practical activities will be a project developed by the synergy of several of these methodologies.

Educational objectives

To provide theoretical and practical tools to design, manufacture and race a formula-style autonomous driving vehicle eligible to take part to Formula Student international series into the DV (Driverless Vehicles) class.

Educational objectives

The apprenticeship allows to acquire credits through laboratory activities or through the attendance at scientific seminars certified and approved by the council.

Educational objectives

The apprenticeship allows to acquire credits through laboratory activities or through the attendance at scientific seminars certified and approved by the council.

Educational objectives

In the course program, the dynamics of EMS-Electromechanical Systems and their control are analyzed in details, including systems of rigid bodies and of continuous elastic structures (rod, beam and plates). Applications to vibration analysis and their control, smart structures and mechatronic systems, are examples approached in the course.

Educational objectives

The class provides further insights on the mechanical behavior of industrial engineering materials and on the structural design and verification of several components and mechanical system broadly used in Machine Design. It is the natural continuation of the Design of Machine Elements course held during the last year of the Bachelor in Mechanical Engineering.
The main goals of the course are, in short:
- Functional analysis and structural design and dimensioning of: mechanical transmissions, spur, helical and bevel gears, gearboxes, flexible elements, rotating discs, thick walled vessels, tubes, plates, press fits. Identification of stress concentrations among connecting elements.
- Study of the constitutive elastic behaviour and yield criteria of anisotropic and orthotropic materials. Failure criteria under multiaxial fatigue loading conditions. Damage fracture criteria for the prediction of the ultimate strength of ductile materials.
- Methologies for the experimental mechanical characterization of materials and analysis of the structural performance of widely used traditional and modern engineering alloys.
- Analysis of typical design problems through case studies.

Educational objectives

Understanding the operation of internal combustion engines both in terms of thermodynamic and mechanical.

Educational objectives

The course is aimed at the creation of a knowledge-base, in the student, on the main processing technologies, typical of metallic materials, in use or expected to be adopted in the anufacturing industry. This course aims also at provide some case studies of typical industrial applications which analyze specific technological aspects and limitations in order to give a technical-practical qualification to the student and solid knowledge of tools that will enable him to understand technological problems, to work by making innovations and structuring its actions in a logical way, developing capacity also
strongly requested by companies.

Educational objectives

OBJECTIVES. The course gives the key competences of operations management, both from an organisational-management and a technical-operational point of view. The expected learning outcomes are the capabilities to analyse the relationship of market and supply chain, the role and processes of the company within the supply chain, and the applying knowledge and understanding of the methodologies for production and inventory management.
EXPECTED LEARNING OUTCOMES. Knowledge and understanding: knowledge and understanding of the most important processes and techniques for operations management, and supply chain management. Models and methods for materials management, for the production configuration, the calculation of economic production quantity, and the planning and programming techniques. Capability: capability to analyse with a systemic approach, model problems and identify the best techniques for solving the main challenges of supply chain management, production, and logistics, with a focus on production planning/programming and materials management.

Educational objectives

The aim of this course is to give a systematic view of methods used in industrial diagnostic with a special interest on energy conversion systems and fluid machineries. The general objectives being the methodologies to failure mode analyses, fault detection and isolation. A peculiar attention will be given to AI based methods for the analysis of big-data collected in sensor networks.

Educational objectives

The course offers students the study methodologies in order to fully understand the energy transition in progress and in order to evaluate the interactions produced on the environment.

The course aims to provide the student with the elements necessary to understand the main effects of engine on the environment both on a global as well as on a punctual scale, together with the means and strategies which can be used in order to contain them (environmental sustainability).

The aim is to provide the necessary knowledge in order to identify polluting emissions generated by energy production systems, their harmful effects, and the best currently available technical solutions (BAT) for their control.

In particular:
To Study energy production processes (energy transition) in connection to their environmental impact;
To determine the main environmental impact factors related to energy generation and to identify the tools necessary in order to study them;
To study technological solutions aimed to reduce the energy production environmental impact and its environmental sustainability overall increase.

Educational objectives

The course has the following educational objectives:
· To understand the thermo-fluid dynamic principles that govern the operation of turbomachinery
· To understand how to select the most suitable machine for a given design point and estimate its efficiency by applying dimensional analysis methods and the theory of similarity
· To understand how to size a machine through a series of design algorithms that implement Euler's theory for preliminary sizing
· To understand the typology of losses in turbomachinery to implement a design performance estimation in a real operating conditions
· To understand how optimization algorithms work
· To be familiar with the types of instabilities that occur in machines: rotating stall, pumping, choking, cavitation...
· To implement the design procedure of a selected turbomachinery in a Python environment as an annual project for the course
· To learn how to present one's project to peers and in front of a panel of reviewers
· To learn how to write a technical report on the annual project

Educational objectives

This course is intended to help graduate students build a basic frame of theoretical and technical ideas with which to treat practical problems of steam power plants via a comprehensive, practical engineering approach to boilers and their selection, application, and performance. With this purpose, the course aims to offering a wealth of valuable insight into the design of large and small steam power plants by understanding the fundamental principles of processes.RISULTATI ATTESI:Students who follow this course efficiently acquire skills in the field of thermal and hydraulic design of both small and large steam generating system and steam power plant cycles. In a short period of time they would become design and operation engineers as well as members for research staff and consulting services.

Educational objectives

To assess knowledge in the modelling and simulation of thermo-fluid problems in industrial applications To develop proficiency in the use and development of computational thermo-fluid-dynamics tools.

Educational objectives

The course aims to provide practical tools necessary to critically evaluate and deal with engineering and economic models numerically.

Educational objectives

The lab aims to familiarize with the complex phenomenon of ultrasound propagation in bubbly liquids, offering applications able to make understandable the role of this phenomenon in multiple technical applications (such as microfluidics, ultrasound medical imaging or soundproofing materials). Doing this it will provide knowledge and skills of critical evaluation of complex systems.

Educational objectives

The course provides the necessary tools to study the dynamics of EMS-Electromechanical Systems and their control, including systems of rigid bodies. Applications to mechatronic systems are approached in the course.

Educational objectives

Course goals

Signal processing algorithms are embedded nearly in every application that involves natural signal or data analysis and/or synthesis. The aim of this course is to provide a basic, yet comprehensive, introduction to the mathematical background to support the analysis of measurements as well as diagnosis and control of machines.

The course reviews some of the most important mathematical methods of digital signal processing related to mechanical engineering, such as Discrete Fourier Transform (DFT), Short Time Fourier Transform (STFT), Wavelet Transform, Hilbert Transform and the Empirical Mode Decomposition, for the calculation of signal features in time and frequency domains. Exercises from example applications and on numerical signal processing are provided: the student will be guided to analyze real life signals with the aid of Matlab software.

At the end of the course, the student will be able to evaluate the effects of signal processing and analysis on measurement data from real life machines and structures. These skills are essential e.g. in machine diagnostics, control engineering, machine automation and robotics. After the course, the student:

• Is familiar with some of the most important methods of signal analysis in the field of mechanical engineering.
• Understands the basic concepts relating to the sampling of time domain signals and the corresponding frequency spectra.
• Knows the most commonly used features in mechanical engineering measurements and understands their significance in describing mechanical quantities.
• Understands what kind of mechanical phenomena can be identified by time, frequency domain analysis, and time-frequency analysis.
• Is introduced to some of very important effects of signal processing and analysis on the usability of measurement data for condition monitoring of mechanical structures.

In doing that, the student will be introduced to Matlab numerical computing environment, also with the support of shared codes and worked examples. The student will be guided to:
• Understand the basic concepts of discrete time signal processing.
• Understand how Matlab is used to perform analyses.
• Understanding the physical meaning of the results provided by Matlab.
• Solving mathematical/physical problems using Matlab.

Educational objectives

The Laboratory aims to provide the basic elements for the execution of a vertical action of technology transfer from one research institution to a small or medium enterprise

Educational objectives

Measurements of Fluid Machine Performances

Educational objectives

The objective of the laboratory focuses on the application of knowledge of traditional measurement systems and some of the advanced and distributed monitoring technologies for the conservation and restoration of cultural heritage. The laboratory or ON-field experimental activities will be defined individually or in groups with the students. Eligibility will be awarded after a personal presentation of the activities carried out.

Educational objectives

This Laboratory aims to connect the theoretical arguments considered in the course of Centrali Termiche and industrial applications. This is done also by developing small design projects or by considering effective conditions.

Educational objectives

RENEWABLE ENERGY SYSTEM DESIGN has the general training objective: an effective design of plants for distributed generation in urban and rural areas.
Specific objectives will therefore be: to understand both the energy demand and the potential of the electric or thermal generation in a territory on the basis of the lectures described in the program, supported by practical activities (a visit, a design, a power point presentation in the classroom).

Educational objectives

To provide students with the basics of of computerized calculation of frames of beams, either naturally discrete or discretized.

Educational objectives

The particularly professionalising characteristics of the discipline "Safety of Industrial Plants" suggests, in addition to theoretical training, practical training through the preparation of an executive project consistent with the contents of the 6 CFU course program.

Prerequisite for participation in the "​lab of industrial risk assessment and prevention" is therefore, passing the 6 CFU "Safety of Industrial Plants" course.

Educational objectives

Give the student the basic knowledge on the use of
laboratory equipment for automotive measures and allow the direct application
of concepts learned in the context of ongoing projects in the laboratory.

Educational objectives

To introduce the basic description of supersonic flows in internal/external flows also including heat transfer or dispersed particles motion. This will complement the competence of future Industrial Engineers in analyzing the dynamic of turbulent flows and the aero-acoustic phenomena occurring in industrial equipment. These arguments are not considered in the other courses held in Mechanical Engineering.

Educational objectives

The Laboratory of Numerical Fluid Dynamics Assisted by Machine Learning is an integrative activity which introduces the student to the operational aspects of the numerical simulation of flows and to the use of machine learning and automatic differentiation techniques in support of the study of fluid dynamics problems. The Laboratory offers students the opportunity to implement numerical solvers first-hand, to learn the methodologies of differentiable scientific computing, and to apply them to optimization and analysis problems of engineering interest, developing operational skills transferable to research and applied contexts.

Educational objectives

The course focuses on multibody modeling of vehicles and its subsystems. The student will acquire the fundamental elements to be able to develop and design a complete car or motorcycle by including the modeling of suspension elements with variable parameters and control systems for the implementation of actuators.

Educational objectives

The aim of the course is to develop skills in the ability of applying advanced knowledge about finite element calculations.

Educational objectives

Provide the theoretical and practical abilities to fabricate a functional component via Additive Manufacturing technologies. In particular: - cabability to manage, repair and process a 3D model; - choice of the process parameters taking into account the post-processing and the further secondary operations; - spread among several secondary operations typical of AM technologies; predict the cost and time needed for the entire process.

Educational objectives

The Aerodynamics of Vehicle Laboratory is a supplementary activity (3CFU) aimed to introduce
students to the modern numerical techniques employed in simulation of external turbulent flows. The
purpose is to allow the development of the capabilities needed to address problems concerning the
aerodynamics of transportation or racing vehicles.

Educational objectives

The laboratory is aimed at analyzing and looking for possible solutions of vibro-acoustic problems, through the study of aspects related to the modeling of problems (FEM, BEM, SEA) and their characterization through experimental tests.

Educational objectives

The course gives on-field experience to apply technologies of Industry 4.0. The course, as an extension of the Smart Factory course, develops one of its topics through the application of simulation models, business intelligence, machine learning, natural language processing, or defect detection and recognition.

Educational objectives

The aim of the course is to provide students with the basic knowledge needed to properly use the state of the art measurement systems in Experimental Biomechanics.

Educational objectives

The laboratory aims to provide the practical skills necessary for the tribological and dynamic analysis of mechanical systems. The basic notions will be explained and concretized through experimental and/or numerical tests aimed at applying the notions acquired during the respective courses.

Educational objectives

The lab objectives include advanced CAD-CAE methodologies to support design development and optimization. In particular reverse engineering techniques (acquisitions and post processing), CAE simulations and topological optimization in the field of Design for AM, Virtual prototyping by VR and AR devices (with focus on assembly, ergonomics, process optimization). All the students will attend a general presentation of these methods and related applications so that in the lab her/his practical activities will be a project developed by the synergy of several of these methodologies.

Educational objectives

To provide theoretical and practical tools to design, manufacture and race a formula-style autonomous driving vehicle eligible to take part to Formula Student international series into the DV (Driverless Vehicles) class.

Educational objectives

The apprenticeship allows to acquire credits through laboratory activities or through the attendance at scientific seminars certified and approved by the council.

Educational objectives

The apprenticeship allows to acquire credits through laboratory activities or through the attendance at scientific seminars certified and approved by the council.

Educational objectives

Providing knowledge about optimization and decision science problems, providing expertise on the characteristics of the problems and mathematical optimization methods adopted in the engineering field, and proposing first examples of implementation and use.
Expected learning outcomes:
Allow the student to be able to classify the different optimization and decision science problems, to know the most important mathematical characterizations of their solutions and to be
able to formulate some classes of real problems such as particular mathematical programming problems.

Educational objectives

The subject aims to guide the student in understanding the principles of operation of AC machines at variable speed. The module will provide methods to analyze the behaviour of AC drives both in steady state and during transients. Finally, it will give the student knowledge on how torque is controlled in these machines.

Educational objectives

The course provides knowledge about the origin and control of defects in metal structures, from the manufacture of materials or processing technologiesFor their control are called the basic physical principles and applied methods: radiography, ultrasonic, penetrant liquid and magnetic methods.

Educational objectives

The course clarifies the founding principles, the scope and the fundamental tools and methodologies of Project Management (PM).Starting from the concept of integrated management of projects, all the main methods for managing the performance variables of quality, time and cost will be proposed.In line with the main standard processes of Project Management, the internationally standardized Project Management terminology will be used.

Educational objectives

In the course program, the dynamics of EMS-Electromechanical Systems and their control are analyzed in details, including systems of rigid bodies and of continuous elastic structures (rod, beam and plates). Applications to vibration analysis and their control, smart structures and mechatronic systems, are examples approached in the course.

Educational objectives

This class will provide the students with the ground knowledge to correctly design and set up a measurement chain or system, taking in account the specific needs of the instrument user. Specific attention will be given to applications aimed at mechanical production and manufacturing industry. The class comprises a number of laboratory lessons, which explain and go into the main experimental techniques and are considered a fundamental part of the course.

Educational objectives

This course is addressed to kinematics and dynamics of industrial robots. Introductory cognitions of mechanical components and control are also imparted. Basic concepts of mechanics are developed towards multi-body systems, especially serial kinematics chain robotic arms, in order to provide for the students the tools necessary to deal with robotics applications.

Educational objectives

The course aims to provide the necessary knowledge to the design and management of safety and maintenance of industrial systems, considered as complex production systems.To this end, the course deals with the handling of hazardous phenomena that can occur in a productive activity, provides information on laws and existing good practice in this regard and introduces methodologies for systems analysis useful to anticipate and manage unexpected phenomena in the operation machinery, equipment and facilities.Particular emphasis is given to the services to guarantee the safety of any system, especially in view of some significant trends (facility management, global services and outsourcing).

Educational objectives

The course aims to provide the knowledge bases of the Smart Factories in the context of Industry 4.0 which is characterized as the Fourth Industrial Revolution through the analysis of the economic and technological scenario, the identification and classification of intervention key areas, the processes for a strategy 4.0 implementation, the definition of organizational models, the identification of design and management issues.

Expected Learning Outcomes. Knowledge and understanding: Knowledge of the structural and operating characteristics of Smart Factories within the framework of Industry 4.0. Applying knowledge and understanding: Ability to develop analysis, model problems and identify best techniques for implementing Smart Production in a Smart Factory. The course requires preparation of a technical report (usually prepared in small working groups self-managed by students); the course also aims to promote the development of skills to apply the knowledge acquired through independent learning and teamworking, making independent judgment and communication skills.

Educational objectives

The class provides further insights on the mechanical behavior of industrial engineering materials and on the structural design and verification of several components and mechanical system broadly used in Machine Design. It is the natural continuation of the Design of Machine Elements course held during the last year of the Bachelor in Mechanical Engineering.
The main goals of the course are, in short:
- Functional analysis and structural design and dimensioning of: mechanical transmissions, spur, helical and bevel gears, gearboxes, flexible elements, rotating discs, thick walled vessels, tubes, plates, press fits. Identification of stress concentrations among connecting elements.
- Study of the constitutive elastic behaviour and yield criteria of anisotropic and orthotropic materials. Failure criteria under multiaxial fatigue loading conditions. Damage fracture criteria for the prediction of the ultimate strength of ductile materials.
- Methologies for the experimental mechanical characterization of materials and analysis of the structural performance of widely used traditional and modern engineering alloys.
- Analysis of typical design problems through case studies.

Educational objectives

Student must will able to:
- choose an additive manufacturing technology in order to comply with product specifications
- apply the Design for Additive Manufacturing
- analyze a CNC code
- employ a Computer Aided Manufacturing
- plan a Flexible Manufacturing System and a Flexible Assembly System

Educational objectives

The course aims to provide the basic knowledge of Quality in process management for organizations, through the definition and historical evolution of the concept (from Quality Control to Total Quality Management), the regulatory framework, methodologies for analysis and improvement. In particular, the course presents an applicative focus on process mapping and management methodologies and on the Lean Six Sigma methodology for continuous improvement. In addition, the main elements of the Quality Management Systems (UNI EN ISO 9001) are presented and addressed.

Educational objectives

Gain cognitive and technical tools for statistical process control.Acquire methodologies of design of experiments for process improvementGain tools for acceptance sampling of a lot

Expected learning outcomes: Student must be able to:
- plan and execute a statistical process control by control charts
- plan a experiments campaign in order to achieve a technological model of a process
- design a lot acceptance control

Educational objectives

Knowledge and understanding:
Knowledge and understanding of basic concepts of differential geometry: differentiable manifold, differentiable map, tangent bundle, vector field, flow of a field, tensor field, differential form, Lie group. Local theory of curves: Frenet formulas; local theory of surfaces: metric properties, gaussian curvature, Gauss theorem.

Skills and attributes:
Be able to calculate the Frenet apparatus of a curve defined by parametric or cartesian equations. Be able to calculate the gaussian curvature, principal curvatures and normal sections of a surface defined by parametric or cartesian equations. Be able to determine local coordinates on a manifold and write down transition
maps. Be able to study a differential map, using local coordinates. Find the tangent space to a manifold. Calculate the flow of a vector field. Be able to operate with tensors. Calculate line integrals and recognize exact forms.

Educational objectives

We expect the student to learn the use of sequences and series of functions (in particular Fourier and power series) and to reconstruct signals via Laplace tranform.

Educational objectives

A) Learning of basic knowledge of mathematical models of Continuum Mechanics based on Partial Differential Equations. Learning of the main perturbative methods: direct perturbative method, multiple scales and boundary layers.

B) Learning to set up and analyze problems for Partial Differential Equations. Learning to use the main perturbative methods when small parameters appear, also by means of qualitative analysis.

D), E) Development of the ability to understand qualitatively the solution, to exchange the results and to seek help in textbooks or from experts. In this connection, construction and graphical visualization of solutions obtained by symbolic calculus (MUPAD toolbox for MATLAB).

Educational objectives

The course aims to provide students with basic knowledge on the resistance characteristics of materials, with particular regard to mechanical, thermal and environmental.

Educational objectives

Providing the student with a clear comprehension of the mechanisms producing aerodynamic forces on vehicles. Providing critical understanding of the main aerodynamic devices. Developing basic design skills for aerodynamic vehicle design.

Educational objectives

The course aims to provide practical tools necessary to critically evaluate and deal with engineering and economic models numerically.

Educational objectives

The lab aims to familiarize with the complex phenomenon of ultrasound propagation in bubbly liquids, offering applications able to make understandable the role of this phenomenon in multiple technical applications (such as microfluidics, ultrasound medical imaging or soundproofing materials). Doing this it will provide knowledge and skills of critical evaluation of complex systems.

Educational objectives

The course provides the necessary tools to study the dynamics of EMS-Electromechanical Systems and their control, including systems of rigid bodies. Applications to mechatronic systems are approached in the course.

Educational objectives

Course goals

Signal processing algorithms are embedded nearly in every application that involves natural signal or data analysis and/or synthesis. The aim of this course is to provide a basic, yet comprehensive, introduction to the mathematical background to support the analysis of measurements as well as diagnosis and control of machines.

The course reviews some of the most important mathematical methods of digital signal processing related to mechanical engineering, such as Discrete Fourier Transform (DFT), Short Time Fourier Transform (STFT), Wavelet Transform, Hilbert Transform and the Empirical Mode Decomposition, for the calculation of signal features in time and frequency domains. Exercises from example applications and on numerical signal processing are provided: the student will be guided to analyze real life signals with the aid of Matlab software.

At the end of the course, the student will be able to evaluate the effects of signal processing and analysis on measurement data from real life machines and structures. These skills are essential e.g. in machine diagnostics, control engineering, machine automation and robotics. After the course, the student:

• Is familiar with some of the most important methods of signal analysis in the field of mechanical engineering.
• Understands the basic concepts relating to the sampling of time domain signals and the corresponding frequency spectra.
• Knows the most commonly used features in mechanical engineering measurements and understands their significance in describing mechanical quantities.
• Understands what kind of mechanical phenomena can be identified by time, frequency domain analysis, and time-frequency analysis.
• Is introduced to some of very important effects of signal processing and analysis on the usability of measurement data for condition monitoring of mechanical structures.

In doing that, the student will be introduced to Matlab numerical computing environment, also with the support of shared codes and worked examples. The student will be guided to:
• Understand the basic concepts of discrete time signal processing.
• Understand how Matlab is used to perform analyses.
• Understanding the physical meaning of the results provided by Matlab.
• Solving mathematical/physical problems using Matlab.

Educational objectives

The Laboratory aims to provide the basic elements for the execution of a vertical action of technology transfer from one research institution to a small or medium enterprise

Educational objectives

Measurements of Fluid Machine Performances

Educational objectives

The objective of the laboratory focuses on the application of knowledge of traditional measurement systems and some of the advanced and distributed monitoring technologies for the conservation and restoration of cultural heritage. The laboratory or ON-field experimental activities will be defined individually or in groups with the students. Eligibility will be awarded after a personal presentation of the activities carried out.

Educational objectives

This Laboratory aims to connect the theoretical arguments considered in the course of Centrali Termiche and industrial applications. This is done also by developing small design projects or by considering effective conditions.

Educational objectives

RENEWABLE ENERGY SYSTEM DESIGN has the general training objective: an effective design of plants for distributed generation in urban and rural areas.
Specific objectives will therefore be: to understand both the energy demand and the potential of the electric or thermal generation in a territory on the basis of the lectures described in the program, supported by practical activities (a visit, a design, a power point presentation in the classroom).

Educational objectives

To provide students with the basics of of computerized calculation of frames of beams, either naturally discrete or discretized.

Educational objectives

The particularly professionalising characteristics of the discipline "Safety of Industrial Plants" suggests, in addition to theoretical training, practical training through the preparation of an executive project consistent with the contents of the 6 CFU course program.

Prerequisite for participation in the "​lab of industrial risk assessment and prevention" is therefore, passing the 6 CFU "Safety of Industrial Plants" course.

Educational objectives

Give the student the basic knowledge on the use of
laboratory equipment for automotive measures and allow the direct application
of concepts learned in the context of ongoing projects in the laboratory.

Educational objectives

To introduce the basic description of supersonic flows in internal/external flows also including heat transfer or dispersed particles motion. This will complement the competence of future Industrial Engineers in analyzing the dynamic of turbulent flows and the aero-acoustic phenomena occurring in industrial equipment. These arguments are not considered in the other courses held in Mechanical Engineering.

Educational objectives

The Laboratory of Numerical Fluid Dynamics Assisted by Machine Learning is an integrative activity which introduces the student to the operational aspects of the numerical simulation of flows and to the use of machine learning and automatic differentiation techniques in support of the study of fluid dynamics problems. The Laboratory offers students the opportunity to implement numerical solvers first-hand, to learn the methodologies of differentiable scientific computing, and to apply them to optimization and analysis problems of engineering interest, developing operational skills transferable to research and applied contexts.

Educational objectives

The course focuses on multibody modeling of vehicles and its subsystems. The student will acquire the fundamental elements to be able to develop and design a complete car or motorcycle by including the modeling of suspension elements with variable parameters and control systems for the implementation of actuators.

Educational objectives

The aim of the course is to develop skills in the ability of applying advanced knowledge about finite element calculations.

Educational objectives

Provide the theoretical and practical abilities to fabricate a functional component via Additive Manufacturing technologies. In particular: - cabability to manage, repair and process a 3D model; - choice of the process parameters taking into account the post-processing and the further secondary operations; - spread among several secondary operations typical of AM technologies; predict the cost and time needed for the entire process.

Educational objectives

The Aerodynamics of Vehicle Laboratory is a supplementary activity (3CFU) aimed to introduce
students to the modern numerical techniques employed in simulation of external turbulent flows. The
purpose is to allow the development of the capabilities needed to address problems concerning the
aerodynamics of transportation or racing vehicles.

Educational objectives

The laboratory is aimed at analyzing and looking for possible solutions of vibro-acoustic problems, through the study of aspects related to the modeling of problems (FEM, BEM, SEA) and their characterization through experimental tests.

Educational objectives

The course gives on-field experience to apply technologies of Industry 4.0. The course, as an extension of the Smart Factory course, develops one of its topics through the application of simulation models, business intelligence, machine learning, natural language processing, or defect detection and recognition.

Educational objectives

The aim of the course is to provide students with the basic knowledge needed to properly use the state of the art measurement systems in Experimental Biomechanics.

Educational objectives

The laboratory aims to provide the practical skills necessary for the tribological and dynamic analysis of mechanical systems. The basic notions will be explained and concretized through experimental and/or numerical tests aimed at applying the notions acquired during the respective courses.

Educational objectives

The lab objectives include advanced CAD-CAE methodologies to support design development and optimization. In particular reverse engineering techniques (acquisitions and post processing), CAE simulations and topological optimization in the field of Design for AM, Virtual prototyping by VR and AR devices (with focus on assembly, ergonomics, process optimization). All the students will attend a general presentation of these methods and related applications so that in the lab her/his practical activities will be a project developed by the synergy of several of these methodologies.

Educational objectives

To provide theoretical and practical tools to design, manufacture and race a formula-style autonomous driving vehicle eligible to take part to Formula Student international series into the DV (Driverless Vehicles) class.

Educational objectives

The apprenticeship allows to acquire credits through laboratory activities or through the attendance at scientific seminars certified and approved by the council.

Educational objectives

The apprenticeship allows to acquire credits through laboratory activities or through the attendance at scientific seminars certified and approved by the council.

Educational objectives

The course is aimed at the creation of a knowledge-base, in the student, on the main processing technologies, typical of metallic materials, in use or expected to be adopted in the anufacturing industry. This course aims also at provide some case studies of typical industrial applications which analyze specific technological aspects and limitations in order to give a technical-practical qualification to the student and solid knowledge of tools that will enable him to understand technological problems, to work by making innovations and structuring its actions in a logical way, developing capacity also
strongly requested by companies.

Educational objectives

This class will provide the students with the ground knowledge to correctly design and set up a measurement chain or system, taking in account the specific needs of the instrument user. Specific attention will be given to applications aimed at mechanical production and manufacturing industry. The class comprises a number of laboratory lessons, which explain and go into the main experimental techniques and are considered a fundamental part of the course.

Educational objectives

Course outline:
The course provides the base knowledge and the necessary skills to use the Finite Element Method (FEM) as an effective tool in mechanical design.
In a first part, the theoretical background of matrix structural analysis and the fundamentals of the FE method are introduced, providing information on how a mechanical continuum can be studied and modelled through an equivalent discrete system.
A second part aims at the solutions of typical Machine Design problems using the Finite Element Method. Several exercises are proposed and solved in the classroom using a pc and a FE code (Ansys), with focus on:
- Structural elastic analyses, with examples ranging from solid mechanics structures to two and three dimensional mechanical components and systems.
- Elasto-plastic problems, to study forming processes, identify residual stresses, and to assess the structural integrity of parts made of ductile materials.
- Thermal and thermo-mechanical problems, with examples involving heat transmission by conduction and convection. Thermally induced stresses are addressed, too.
- Dynamic problems (highlights), to tackle transient problems involving time-varying loads and inertial effects. Modal analysis is also introduced.

Educational objectives

Understanding the operation of internal combustion engines both in terms of thermodynamic and mechanical.

Educational objectives

OBJECTIVES. The course gives the key competences of operations management, both from an organisational-management and a technical-operational point of view. The expected learning outcomes are the capabilities to analyse the relationship of market and supply chain, the role and processes of the company within the supply chain, and the applying knowledge and understanding of the methodologies for production and inventory management.
EXPECTED LEARNING OUTCOMES. Knowledge and understanding: knowledge and understanding of the most important processes and techniques for operations management, and supply chain management. Models and methods for materials management, for the production configuration, the calculation of economic production quantity, and the planning and programming techniques. Capability: capability to analyse with a systemic approach, model problems and identify the best techniques for solving the main challenges of supply chain management, production, and logistics, with a focus on production planning/programming and materials management.

Educational objectives

The course introduces the student to vibroacoustic problems. The aim is to acquire the knowledge of the fundamental principles and techniques for modeling the radiation of vibrating structures with particular attention to the analysis and solution of coupled structural and acoustic problems and to acquire the tools for the analysis and design of systems for vibration and noise control.

Educational objectives

Learn a critical approach to tribological problems and their impact on sustainable development. Acquire conceptual tools for optimizing friction and wear. Acquire the knowledge for a design of mechanical systems that takes into account tribological issues, with a view to energy and functional optimization. Being able to analyze, simulate (experimentally or numerically), interpret and solve problems of friction and wear in mechanical systems, taking into consideration the constraints dictated by eco-tribology (pollution of particulates and lubricants, durability and sustainability of systems, … ). Be able to participate in development projects in the main industrial sectors: tribology of sliding and non-sliding contacts, tribology in extreme conditions (contacts subject to vibrations, high pressure, low and high temperatures, …), bio-tribology. The course is based on the presentation of theories and methods of contact investigation, in parallel with the presentation of current industrial problems and proposed methods of analysis and resolution.

Educational objectives

General objectives
The course aims to provide the student with a unified theory for the study of vehicles in general, with particular reference to terrestrial and marine vehicles. On one hand the vehicle is decomposed into sub-systems: (i) propulsion (ii) transmission (iii) thrust and directional components (iv) suspension systems (v) brake systems (vi) guidance and control. On the other hand, a general model of the vehicle integrating the considered sub-systems is developed able to predict the different manoeuvring ability of the vehicle. The theoretical foundation to approach vehicle dynamics is provided.

Specific objectives
Knowledge and understanding:
The student will learn the basic methods for vehicle modelling, analysis and control. In the first part of the course the notions of vehicle dynamics are conveyed to the students, while in the second part, particular attention is paid to the mechanical, sensor and hardware subsystems in use.
Apply knowledge and understanding:
The student will be able to analyse and design different architectures of terrestrial and marine vehicles. Moreover, the student is required to mature a sufficient knowledge to integrate the mechanical design together with control algorithms for autonomous driving vehicles.
Critical and judgment skills:
The student will be able to choose both the modelling methodology most suited to the specific problem, and will be able to examine an innovative device in the field of vehicle dynamics, understanding the operating principles and carrying out a feasibility analysis, examining, when needed, the related patents.
Communication skills:
The course activities allow the student to be able to communicate / share the main content related to the innovation of new devices/vehicles, through the team’s work when preparing the team’s project. Moreover, the final examination of the team is inherent to market needs, modelling of vehicles, simulations and theoretical analysis of components of vehicles, that are part of a professional presentation prepared by the entire project team.
Learning ability:
The student will be able to tackle a project synthesis problem thanks to the planned examination method. The student, appropriately guided, puts into practice the "problem solving" techniques, i.e. the set of processes aimed at analysing, facing and solving a specific problem based on the examination of patents and/or recent publications.

Educational objectives

To assess knowledge in the modelling and simulation of thermo-fluid problems in industrial applications To develop proficiency in the use and development of computational thermo-fluid-dynamics tools.

Educational objectives

The objective of the course is to introduce the students to the variational deduction of many physical models of Engineering interest. Using variational approaches, the students will learn not only to deduce rigorous mathematical models in both solid and fluid mechanics, but also to manage the numerical tools for their solutions.

Educational objectives

The subject aims to guide the student in understanding the principles of operation of AC machines at variable speed. The module will provide methods to analyze the behaviour of AC drives both in steady state and during transients. Finally, it will give the student knowledge on how torque is controlled in these machines.

Educational objectives

The course aims to provide practical tools necessary to critically evaluate and deal with engineering and economic models numerically.

Educational objectives

The lab aims to familiarize with the complex phenomenon of ultrasound propagation in bubbly liquids, offering applications able to make understandable the role of this phenomenon in multiple technical applications (such as microfluidics, ultrasound medical imaging or soundproofing materials). Doing this it will provide knowledge and skills of critical evaluation of complex systems.

Educational objectives

The course provides the necessary tools to study the dynamics of EMS-Electromechanical Systems and their control, including systems of rigid bodies. Applications to mechatronic systems are approached in the course.

Educational objectives

Course goals

Signal processing algorithms are embedded nearly in every application that involves natural signal or data analysis and/or synthesis. The aim of this course is to provide a basic, yet comprehensive, introduction to the mathematical background to support the analysis of measurements as well as diagnosis and control of machines.

The course reviews some of the most important mathematical methods of digital signal processing related to mechanical engineering, such as Discrete Fourier Transform (DFT), Short Time Fourier Transform (STFT), Wavelet Transform, Hilbert Transform and the Empirical Mode Decomposition, for the calculation of signal features in time and frequency domains. Exercises from example applications and on numerical signal processing are provided: the student will be guided to analyze real life signals with the aid of Matlab software.

At the end of the course, the student will be able to evaluate the effects of signal processing and analysis on measurement data from real life machines and structures. These skills are essential e.g. in machine diagnostics, control engineering, machine automation and robotics. After the course, the student:

• Is familiar with some of the most important methods of signal analysis in the field of mechanical engineering.
• Understands the basic concepts relating to the sampling of time domain signals and the corresponding frequency spectra.
• Knows the most commonly used features in mechanical engineering measurements and understands their significance in describing mechanical quantities.
• Understands what kind of mechanical phenomena can be identified by time, frequency domain analysis, and time-frequency analysis.
• Is introduced to some of very important effects of signal processing and analysis on the usability of measurement data for condition monitoring of mechanical structures.

In doing that, the student will be introduced to Matlab numerical computing environment, also with the support of shared codes and worked examples. The student will be guided to:
• Understand the basic concepts of discrete time signal processing.
• Understand how Matlab is used to perform analyses.
• Understanding the physical meaning of the results provided by Matlab.
• Solving mathematical/physical problems using Matlab.

Educational objectives

The Laboratory aims to provide the basic elements for the execution of a vertical action of technology transfer from one research institution to a small or medium enterprise

Educational objectives

Measurements of Fluid Machine Performances

Educational objectives

The objective of the laboratory focuses on the application of knowledge of traditional measurement systems and some of the advanced and distributed monitoring technologies for the conservation and restoration of cultural heritage. The laboratory or ON-field experimental activities will be defined individually or in groups with the students. Eligibility will be awarded after a personal presentation of the activities carried out.

Educational objectives

This Laboratory aims to connect the theoretical arguments considered in the course of Centrali Termiche and industrial applications. This is done also by developing small design projects or by considering effective conditions.

Educational objectives

RENEWABLE ENERGY SYSTEM DESIGN has the general training objective: an effective design of plants for distributed generation in urban and rural areas.
Specific objectives will therefore be: to understand both the energy demand and the potential of the electric or thermal generation in a territory on the basis of the lectures described in the program, supported by practical activities (a visit, a design, a power point presentation in the classroom).

Educational objectives

To provide students with the basics of of computerized calculation of frames of beams, either naturally discrete or discretized.

Educational objectives

The particularly professionalising characteristics of the discipline "Safety of Industrial Plants" suggests, in addition to theoretical training, practical training through the preparation of an executive project consistent with the contents of the 6 CFU course program.

Prerequisite for participation in the "​lab of industrial risk assessment and prevention" is therefore, passing the 6 CFU "Safety of Industrial Plants" course.

Educational objectives

Give the student the basic knowledge on the use of
laboratory equipment for automotive measures and allow the direct application
of concepts learned in the context of ongoing projects in the laboratory.

Educational objectives

To introduce the basic description of supersonic flows in internal/external flows also including heat transfer or dispersed particles motion. This will complement the competence of future Industrial Engineers in analyzing the dynamic of turbulent flows and the aero-acoustic phenomena occurring in industrial equipment. These arguments are not considered in the other courses held in Mechanical Engineering.

Educational objectives

The Laboratory of Numerical Fluid Dynamics Assisted by Machine Learning is an integrative activity which introduces the student to the operational aspects of the numerical simulation of flows and to the use of machine learning and automatic differentiation techniques in support of the study of fluid dynamics problems. The Laboratory offers students the opportunity to implement numerical solvers first-hand, to learn the methodologies of differentiable scientific computing, and to apply them to optimization and analysis problems of engineering interest, developing operational skills transferable to research and applied contexts.

Educational objectives

The course focuses on multibody modeling of vehicles and its subsystems. The student will acquire the fundamental elements to be able to develop and design a complete car or motorcycle by including the modeling of suspension elements with variable parameters and control systems for the implementation of actuators.

Educational objectives

The aim of the course is to develop skills in the ability of applying advanced knowledge about finite element calculations.

Educational objectives

Provide the theoretical and practical abilities to fabricate a functional component via Additive Manufacturing technologies. In particular: - cabability to manage, repair and process a 3D model; - choice of the process parameters taking into account the post-processing and the further secondary operations; - spread among several secondary operations typical of AM technologies; predict the cost and time needed for the entire process.

Educational objectives

The Aerodynamics of Vehicle Laboratory is a supplementary activity (3CFU) aimed to introduce
students to the modern numerical techniques employed in simulation of external turbulent flows. The
purpose is to allow the development of the capabilities needed to address problems concerning the
aerodynamics of transportation or racing vehicles.

Educational objectives

The laboratory is aimed at analyzing and looking for possible solutions of vibro-acoustic problems, through the study of aspects related to the modeling of problems (FEM, BEM, SEA) and their characterization through experimental tests.

Educational objectives

The course gives on-field experience to apply technologies of Industry 4.0. The course, as an extension of the Smart Factory course, develops one of its topics through the application of simulation models, business intelligence, machine learning, natural language processing, or defect detection and recognition.

Educational objectives

The aim of the course is to provide students with the basic knowledge needed to properly use the state of the art measurement systems in Experimental Biomechanics.

Educational objectives

The laboratory aims to provide the practical skills necessary for the tribological and dynamic analysis of mechanical systems. The basic notions will be explained and concretized through experimental and/or numerical tests aimed at applying the notions acquired during the respective courses.

Educational objectives

The lab objectives include advanced CAD-CAE methodologies to support design development and optimization. In particular reverse engineering techniques (acquisitions and post processing), CAE simulations and topological optimization in the field of Design for AM, Virtual prototyping by VR and AR devices (with focus on assembly, ergonomics, process optimization). All the students will attend a general presentation of these methods and related applications so that in the lab her/his practical activities will be a project developed by the synergy of several of these methodologies.

Educational objectives

To provide theoretical and practical tools to design, manufacture and race a formula-style autonomous driving vehicle eligible to take part to Formula Student international series into the DV (Driverless Vehicles) class.

Educational objectives

The apprenticeship allows to acquire credits through laboratory activities or through the attendance at scientific seminars certified and approved by the council.

Educational objectives

The apprenticeship allows to acquire credits through laboratory activities or through the attendance at scientific seminars certified and approved by the council.

Educational objectives

This course is addressed to kinematics and dynamics of industrial robots. Introductory cognitions of mechanical components and control are also imparted. Basic concepts of mechanics are developed towards multi-body systems, especially serial kinematics chain robotic arms, in order to provide for the students the tools necessary to deal with robotics applications.

Educational objectives

General objectives
The course aims to provide the student with a unified theory for the study of vehicles in general, with particular reference to terrestrial and marine vehicles. On one hand the vehicle is decomposed into sub-systems: (i) propulsion (ii) transmission (iii) thrust and directional components (iv) suspension systems (v) brake systems (vi) guidance and control. On the other hand, a general model of the vehicle integrating the considered sub-systems is developed able to predict the different manoeuvring ability of the vehicle. The theoretical foundation to approach vehicle dynamics is provided.

Specific objectives
Knowledge and understanding:
The student will learn the basic methods for vehicle modelling, analysis and control. In the first part of the course the notions of vehicle dynamics are conveyed to the students, while in the second part, particular attention is paid to the mechanical, sensor and hardware subsystems in use.
Apply knowledge and understanding:
The student will be able to analyse and design different architectures of terrestrial and marine vehicles. Moreover, the student is required to mature a sufficient knowledge to integrate the mechanical design together with control algorithms for autonomous driving vehicles.
Critical and judgment skills:
The student will be able to choose both the modelling methodology most suited to the specific problem, and will be able to examine an innovative device in the field of vehicle dynamics, understanding the operating principles and carrying out a feasibility analysis, examining, when needed, the related patents.
Communication skills:
The course activities allow the student to be able to communicate / share the main content related to the innovation of new devices/vehicles, through the team’s work when preparing the team’s project. Moreover, the final examination of the team is inherent to market needs, modelling of vehicles, simulations and theoretical analysis of components of vehicles, that are part of a professional presentation prepared by the entire project team.
Learning ability:
The student will be able to tackle a project synthesis problem thanks to the planned examination method. The student, appropriately guided, puts into practice the "problem solving" techniques, i.e. the set of processes aimed at analysing, facing and solving a specific problem based on the examination of patents and/or recent publications.

Educational objectives

The course aims to provide practical tools necessary to critically evaluate and deal with engineering and economic models numerically.

Educational objectives

The lab aims to familiarize with the complex phenomenon of ultrasound propagation in bubbly liquids, offering applications able to make understandable the role of this phenomenon in multiple technical applications (such as microfluidics, ultrasound medical imaging or soundproofing materials). Doing this it will provide knowledge and skills of critical evaluation of complex systems.

Educational objectives

The course provides the necessary tools to study the dynamics of EMS-Electromechanical Systems and their control, including systems of rigid bodies. Applications to mechatronic systems are approached in the course.

Educational objectives

Course goals

Signal processing algorithms are embedded nearly in every application that involves natural signal or data analysis and/or synthesis. The aim of this course is to provide a basic, yet comprehensive, introduction to the mathematical background to support the analysis of measurements as well as diagnosis and control of machines.

The course reviews some of the most important mathematical methods of digital signal processing related to mechanical engineering, such as Discrete Fourier Transform (DFT), Short Time Fourier Transform (STFT), Wavelet Transform, Hilbert Transform and the Empirical Mode Decomposition, for the calculation of signal features in time and frequency domains. Exercises from example applications and on numerical signal processing are provided: the student will be guided to analyze real life signals with the aid of Matlab software.

At the end of the course, the student will be able to evaluate the effects of signal processing and analysis on measurement data from real life machines and structures. These skills are essential e.g. in machine diagnostics, control engineering, machine automation and robotics. After the course, the student:

• Is familiar with some of the most important methods of signal analysis in the field of mechanical engineering.
• Understands the basic concepts relating to the sampling of time domain signals and the corresponding frequency spectra.
• Knows the most commonly used features in mechanical engineering measurements and understands their significance in describing mechanical quantities.
• Understands what kind of mechanical phenomena can be identified by time, frequency domain analysis, and time-frequency analysis.
• Is introduced to some of very important effects of signal processing and analysis on the usability of measurement data for condition monitoring of mechanical structures.

In doing that, the student will be introduced to Matlab numerical computing environment, also with the support of shared codes and worked examples. The student will be guided to:
• Understand the basic concepts of discrete time signal processing.
• Understand how Matlab is used to perform analyses.
• Understanding the physical meaning of the results provided by Matlab.
• Solving mathematical/physical problems using Matlab.

Educational objectives

The Laboratory aims to provide the basic elements for the execution of a vertical action of technology transfer from one research institution to a small or medium enterprise

Educational objectives

Measurements of Fluid Machine Performances

Educational objectives

The objective of the laboratory focuses on the application of knowledge of traditional measurement systems and some of the advanced and distributed monitoring technologies for the conservation and restoration of cultural heritage. The laboratory or ON-field experimental activities will be defined individually or in groups with the students. Eligibility will be awarded after a personal presentation of the activities carried out.

Educational objectives

This Laboratory aims to connect the theoretical arguments considered in the course of Centrali Termiche and industrial applications. This is done also by developing small design projects or by considering effective conditions.

Educational objectives

RENEWABLE ENERGY SYSTEM DESIGN has the general training objective: an effective design of plants for distributed generation in urban and rural areas.
Specific objectives will therefore be: to understand both the energy demand and the potential of the electric or thermal generation in a territory on the basis of the lectures described in the program, supported by practical activities (a visit, a design, a power point presentation in the classroom).

Educational objectives

To provide students with the basics of of computerized calculation of frames of beams, either naturally discrete or discretized.

Educational objectives

The particularly professionalising characteristics of the discipline "Safety of Industrial Plants" suggests, in addition to theoretical training, practical training through the preparation of an executive project consistent with the contents of the 6 CFU course program.

Prerequisite for participation in the "​lab of industrial risk assessment and prevention" is therefore, passing the 6 CFU "Safety of Industrial Plants" course.

Educational objectives

Give the student the basic knowledge on the use of
laboratory equipment for automotive measures and allow the direct application
of concepts learned in the context of ongoing projects in the laboratory.

Educational objectives

To introduce the basic description of supersonic flows in internal/external flows also including heat transfer or dispersed particles motion. This will complement the competence of future Industrial Engineers in analyzing the dynamic of turbulent flows and the aero-acoustic phenomena occurring in industrial equipment. These arguments are not considered in the other courses held in Mechanical Engineering.

Educational objectives

The Laboratory of Numerical Fluid Dynamics Assisted by Machine Learning is an integrative activity which introduces the student to the operational aspects of the numerical simulation of flows and to the use of machine learning and automatic differentiation techniques in support of the study of fluid dynamics problems. The Laboratory offers students the opportunity to implement numerical solvers first-hand, to learn the methodologies of differentiable scientific computing, and to apply them to optimization and analysis problems of engineering interest, developing operational skills transferable to research and applied contexts.

Educational objectives

The course focuses on multibody modeling of vehicles and its subsystems. The student will acquire the fundamental elements to be able to develop and design a complete car or motorcycle by including the modeling of suspension elements with variable parameters and control systems for the implementation of actuators.

Educational objectives

The aim of the course is to develop skills in the ability of applying advanced knowledge about finite element calculations.

Educational objectives

Provide the theoretical and practical abilities to fabricate a functional component via Additive Manufacturing technologies. In particular: - cabability to manage, repair and process a 3D model; - choice of the process parameters taking into account the post-processing and the further secondary operations; - spread among several secondary operations typical of AM technologies; predict the cost and time needed for the entire process.

Educational objectives

The Aerodynamics of Vehicle Laboratory is a supplementary activity (3CFU) aimed to introduce
students to the modern numerical techniques employed in simulation of external turbulent flows. The
purpose is to allow the development of the capabilities needed to address problems concerning the
aerodynamics of transportation or racing vehicles.

Educational objectives

The laboratory is aimed at analyzing and looking for possible solutions of vibro-acoustic problems, through the study of aspects related to the modeling of problems (FEM, BEM, SEA) and their characterization through experimental tests.

Educational objectives

The course gives on-field experience to apply technologies of Industry 4.0. The course, as an extension of the Smart Factory course, develops one of its topics through the application of simulation models, business intelligence, machine learning, natural language processing, or defect detection and recognition.

Educational objectives

The aim of the course is to provide students with the basic knowledge needed to properly use the state of the art measurement systems in Experimental Biomechanics.

Educational objectives

The laboratory aims to provide the practical skills necessary for the tribological and dynamic analysis of mechanical systems. The basic notions will be explained and concretized through experimental and/or numerical tests aimed at applying the notions acquired during the respective courses.

Educational objectives

The lab objectives include advanced CAD-CAE methodologies to support design development and optimization. In particular reverse engineering techniques (acquisitions and post processing), CAE simulations and topological optimization in the field of Design for AM, Virtual prototyping by VR and AR devices (with focus on assembly, ergonomics, process optimization). All the students will attend a general presentation of these methods and related applications so that in the lab her/his practical activities will be a project developed by the synergy of several of these methodologies.

Educational objectives

To provide theoretical and practical tools to design, manufacture and race a formula-style autonomous driving vehicle eligible to take part to Formula Student international series into the DV (Driverless Vehicles) class.

Educational objectives

The apprenticeship allows to acquire credits through laboratory activities or through the attendance at scientific seminars certified and approved by the council.

Educational objectives

The apprenticeship allows to acquire credits through laboratory activities or through the attendance at scientific seminars certified and approved by the council.

Educational objectives

Aim of the course is the study of electromechanical systems of dimensions close to that of the micrometer by means of physical -mathematical models with lumped and distributed parameters. Particular attention is also paid to the study of control techniques for the design of complex micro-mechatronic systems with the function of actuators and sensors. The application areas range from the control of mechanical vibrations and noise to micro robotics.

Educational objectives

This course is addressed to kinematics and dynamics of industrial robots. Introductory cognitions of mechanical components and control are also imparted. Basic concepts of mechanics are developed towards multi-body systems, especially serial kinematics chain robotic arms, in order to provide for the students the tools necessary to deal with robotics applications.

Educational objectives

In the course program, the dynamics of EMS-Electromechanical Systems and their control are analyzed in details, including systems of rigid bodies and of continuous elastic structures (rod, beam and plates). Applications to vibration analysis and their control, smart structures and mechatronic systems, are examples approached in the course.

Educational objectives

To realize the knowledge for design and management of safety and maintenance in industrial complex systems.

Educational objectives

Objectives
The course aims at describing energy sources, their conversion and transformation, their use and rationalization. Once the primary and secondary energy forms are introduced, the attention is focused on the conservation principles applied to energy systems and fluid machinery. Then conventional steam power plants are studied, followed by gas turbines, and internal and external combustion engines used as energy systems; furthermore, the attention is put on combined cycles and cogeneration power plants. Renewable power plants and direct conversion power plants are discussed. Moreover, end-use and rational use of energy, and energy recovery and saving are studied. Students will acquire the knowledge of the main energy systems and, using modelling and computation tools, they will be able to evaluate the performance and the applications of various energy systems. Also, they could compare the specificity of each system and chose the best coupling solution between a given end-use of energy and the available energy conversion systems.

Educational objectives

General objectives
The course aims to provide the student with a unified theory for the study of vehicles in general, with particular reference to terrestrial and marine vehicles. On one hand the vehicle is decomposed into sub-systems: (i) propulsion (ii) transmission (iii) thrust and directional components (iv) suspension systems (v) brake systems (vi) guidance and control. On the other hand, a general model of the vehicle integrating the considered sub-systems is developed able to predict the different manoeuvring ability of the vehicle. The theoretical foundation to approach vehicle dynamics is provided.

Specific objectives
Knowledge and understanding:
The student will learn the basic methods for vehicle modelling, analysis and control. In the first part of the course the notions of vehicle dynamics are conveyed to the students, while in the second part, particular attention is paid to the mechanical, sensor and hardware subsystems in use.
Apply knowledge and understanding:
The student will be able to analyse and design different architectures of terrestrial and marine vehicles. Moreover, the student is required to mature a sufficient knowledge to integrate the mechanical design together with control algorithms for autonomous driving vehicles.
Critical and judgment skills:
The student will be able to choose both the modelling methodology most suited to the specific problem, and will be able to examine an innovative device in the field of vehicle dynamics, understanding the operating principles and carrying out a feasibility analysis, examining, when needed, the related patents.
Communication skills:
The course activities allow the student to be able to communicate / share the main content related to the innovation of new devices/vehicles, through the team’s work when preparing the team’s project. Moreover, the final examination of the team is inherent to market needs, modelling of vehicles, simulations and theoretical analysis of components of vehicles, that are part of a professional presentation prepared by the entire project team.
Learning ability:
The student will be able to tackle a project synthesis problem thanks to the planned examination method. The student, appropriately guided, puts into practice the "problem solving" techniques, i.e. the set of processes aimed at analysing, facing and solving a specific problem based on the examination of patents and/or recent publications.

Educational objectives

To assess knowledge in the modelling and simulation of thermo-fluid problems in industrial applications To develop proficiency in the use and development of computational thermo-fluid-dynamics tools.

Educational objectives

The course aims to provide practical tools necessary to critically evaluate and deal with engineering and economic models numerically.

Educational objectives

The lab aims to familiarize with the complex phenomenon of ultrasound propagation in bubbly liquids, offering applications able to make understandable the role of this phenomenon in multiple technical applications (such as microfluidics, ultrasound medical imaging or soundproofing materials). Doing this it will provide knowledge and skills of critical evaluation of complex systems.

Educational objectives

The course provides the necessary tools to study the dynamics of EMS-Electromechanical Systems and their control, including systems of rigid bodies. Applications to mechatronic systems are approached in the course.

Educational objectives

Course goals

Signal processing algorithms are embedded nearly in every application that involves natural signal or data analysis and/or synthesis. The aim of this course is to provide a basic, yet comprehensive, introduction to the mathematical background to support the analysis of measurements as well as diagnosis and control of machines.

The course reviews some of the most important mathematical methods of digital signal processing related to mechanical engineering, such as Discrete Fourier Transform (DFT), Short Time Fourier Transform (STFT), Wavelet Transform, Hilbert Transform and the Empirical Mode Decomposition, for the calculation of signal features in time and frequency domains. Exercises from example applications and on numerical signal processing are provided: the student will be guided to analyze real life signals with the aid of Matlab software.

At the end of the course, the student will be able to evaluate the effects of signal processing and analysis on measurement data from real life machines and structures. These skills are essential e.g. in machine diagnostics, control engineering, machine automation and robotics. After the course, the student:

• Is familiar with some of the most important methods of signal analysis in the field of mechanical engineering.
• Understands the basic concepts relating to the sampling of time domain signals and the corresponding frequency spectra.
• Knows the most commonly used features in mechanical engineering measurements and understands their significance in describing mechanical quantities.
• Understands what kind of mechanical phenomena can be identified by time, frequency domain analysis, and time-frequency analysis.
• Is introduced to some of very important effects of signal processing and analysis on the usability of measurement data for condition monitoring of mechanical structures.

In doing that, the student will be introduced to Matlab numerical computing environment, also with the support of shared codes and worked examples. The student will be guided to:
• Understand the basic concepts of discrete time signal processing.
• Understand how Matlab is used to perform analyses.
• Understanding the physical meaning of the results provided by Matlab.
• Solving mathematical/physical problems using Matlab.

Educational objectives

The Laboratory aims to provide the basic elements for the execution of a vertical action of technology transfer from one research institution to a small or medium enterprise

Educational objectives

Measurements of Fluid Machine Performances

Educational objectives

The objective of the laboratory focuses on the application of knowledge of traditional measurement systems and some of the advanced and distributed monitoring technologies for the conservation and restoration of cultural heritage. The laboratory or ON-field experimental activities will be defined individually or in groups with the students. Eligibility will be awarded after a personal presentation of the activities carried out.

Educational objectives

This Laboratory aims to connect the theoretical arguments considered in the course of Centrali Termiche and industrial applications. This is done also by developing small design projects or by considering effective conditions.

Educational objectives

RENEWABLE ENERGY SYSTEM DESIGN has the general training objective: an effective design of plants for distributed generation in urban and rural areas.
Specific objectives will therefore be: to understand both the energy demand and the potential of the electric or thermal generation in a territory on the basis of the lectures described in the program, supported by practical activities (a visit, a design, a power point presentation in the classroom).

Educational objectives

To provide students with the basics of of computerized calculation of frames of beams, either naturally discrete or discretized.

Educational objectives

The particularly professionalising characteristics of the discipline "Safety of Industrial Plants" suggests, in addition to theoretical training, practical training through the preparation of an executive project consistent with the contents of the 6 CFU course program.

Prerequisite for participation in the "​lab of industrial risk assessment and prevention" is therefore, passing the 6 CFU "Safety of Industrial Plants" course.

Educational objectives

Give the student the basic knowledge on the use of
laboratory equipment for automotive measures and allow the direct application
of concepts learned in the context of ongoing projects in the laboratory.

Educational objectives

To introduce the basic description of supersonic flows in internal/external flows also including heat transfer or dispersed particles motion. This will complement the competence of future Industrial Engineers in analyzing the dynamic of turbulent flows and the aero-acoustic phenomena occurring in industrial equipment. These arguments are not considered in the other courses held in Mechanical Engineering.

Educational objectives

The Laboratory of Numerical Fluid Dynamics Assisted by Machine Learning is an integrative activity which introduces the student to the operational aspects of the numerical simulation of flows and to the use of machine learning and automatic differentiation techniques in support of the study of fluid dynamics problems. The Laboratory offers students the opportunity to implement numerical solvers first-hand, to learn the methodologies of differentiable scientific computing, and to apply them to optimization and analysis problems of engineering interest, developing operational skills transferable to research and applied contexts.

Educational objectives

The course focuses on multibody modeling of vehicles and its subsystems. The student will acquire the fundamental elements to be able to develop and design a complete car or motorcycle by including the modeling of suspension elements with variable parameters and control systems for the implementation of actuators.

Educational objectives

The aim of the course is to develop skills in the ability of applying advanced knowledge about finite element calculations.

Educational objectives

Provide the theoretical and practical abilities to fabricate a functional component via Additive Manufacturing technologies. In particular: - cabability to manage, repair and process a 3D model; - choice of the process parameters taking into account the post-processing and the further secondary operations; - spread among several secondary operations typical of AM technologies; predict the cost and time needed for the entire process.

Educational objectives

The Aerodynamics of Vehicle Laboratory is a supplementary activity (3CFU) aimed to introduce
students to the modern numerical techniques employed in simulation of external turbulent flows. The
purpose is to allow the development of the capabilities needed to address problems concerning the
aerodynamics of transportation or racing vehicles.

Educational objectives

The laboratory is aimed at analyzing and looking for possible solutions of vibro-acoustic problems, through the study of aspects related to the modeling of problems (FEM, BEM, SEA) and their characterization through experimental tests.

Educational objectives

The course gives on-field experience to apply technologies of Industry 4.0. The course, as an extension of the Smart Factory course, develops one of its topics through the application of simulation models, business intelligence, machine learning, natural language processing, or defect detection and recognition.

Educational objectives

The aim of the course is to provide students with the basic knowledge needed to properly use the state of the art measurement systems in Experimental Biomechanics.

Educational objectives

The laboratory aims to provide the practical skills necessary for the tribological and dynamic analysis of mechanical systems. The basic notions will be explained and concretized through experimental and/or numerical tests aimed at applying the notions acquired during the respective courses.

Educational objectives

The lab objectives include advanced CAD-CAE methodologies to support design development and optimization. In particular reverse engineering techniques (acquisitions and post processing), CAE simulations and topological optimization in the field of Design for AM, Virtual prototyping by VR and AR devices (with focus on assembly, ergonomics, process optimization). All the students will attend a general presentation of these methods and related applications so that in the lab her/his practical activities will be a project developed by the synergy of several of these methodologies.

Educational objectives

To provide theoretical and practical tools to design, manufacture and race a formula-style autonomous driving vehicle eligible to take part to Formula Student international series into the DV (Driverless Vehicles) class.

Educational objectives

The apprenticeship allows to acquire credits through laboratory activities or through the attendance at scientific seminars certified and approved by the council.

Educational objectives

The apprenticeship allows to acquire credits through laboratory activities or through the attendance at scientific seminars certified and approved by the council.

Educational objectives

Providing knowledge about optimization and decision science problems, providing expertise on the characteristics of the problems and mathematical optimization methods adopted in the engineering field, and proposing first examples of implementation and use.
Expected learning outcomes:
Allow the student to be able to classify the different optimization and decision science problems, to know the most important mathematical characterizations of their solutions and to be
able to formulate some classes of real problems such as particular mathematical programming problems.

Educational objectives

Knowledge and understanding

The course deals with the decision making processes of firms. In particular, students are expected to learn the basic principles of
• microeconomic analysis of the firm,
• firm technology strategy,
• economic evaluation of investment projects,
• financial accounting

Applying knowledge and understanding

Students will be able to apply basic methods and models of microeconomics, organization theory and corporate finance in order to:
• identify the determinants of firms’ strategic choices,
• analyze the relationship between technological change in the industry and firms’ strategies
• evaluate the profitability of investment projects
• analyze the financial statement of a company

Making judgements
Lectures, practical exercises and problem-solving sessions will provide students with the ability to assess the main strengths and weaknesses of theoretical models when used to identify firms’strategies.

Communication
By the end of the course, students are able to discuss ideas, problems and solutions provided by the microeconomics of the firm and corporate finance both with a specialized and a non-specialized audience. These capabilities are tested and evaluated in the final written exam and possibly in the oral exam.

Lifelong learning skills

Students are expected to develop those learning skills necessary to undertake additional studies on relevant topics in microeconomics and corporate finance with a high degree of autonomy. During the course, students are encouraged to investigate further any topics of major interest, by consulting supplementary academic publications, specialized books, and internet sites. These capabilities are tested and evaluated in the final written exam and possibly in the oral exam, where students may have to discuss and solve some new problems based on the topics and material covered in class.

Educational objectives

The subject aims to guide the student in understanding the principles of operation of AC machines at variable speed. The module will provide methods to analyze the behaviour of AC drives both in steady state and during transients. Finally, it will give the student knowledge on how torque is controlled in these machines.

Educational objectives

Leading the student to the clear comprehension of the basic mechanisms of turbulence in free and wall bounded flows. Leading the student to the clear comprehension of the basic mechanisms of turbulent combustion. Providing critical knowledge of the different regimes of turbulent combustion and of the effect of turbulence in reactive flows. Developing basic skill for combustor design.

Educational objectives

The apprenticeship allows to acquire credits through laboratory activities or through the attendance at scientific seminars certified and approved by the council.

Educational objectives

Aim of the course is the study of electromechanical systems of dimensions close to that of the micrometer by means of physical -mathematical models with lumped and distributed parameters. Particular attention is also paid to the study of control techniques for the design of complex micro-mechatronic systems with the function of actuators and sensors. The application areas range from the control of mechanical vibrations and noise to micro robotics.

Educational objectives

The course is aimed at the creation of a knowledge-base, in the student, on the main processing technologies, typical of metallic materials, in use or expected to be adopted in the anufacturing industry. This course aims also at provide some case studies of typical industrial applications which analyze specific technological aspects and limitations in order to give a technical-practical qualification to the student and solid knowledge of tools that will enable him to understand technological problems, to work by making innovations and structuring its actions in a logical way, developing capacity also
strongly requested by companies.

Educational objectives

This class will provide the students with the ground knowledge to correctly design and set up a measurement chain or system, taking in account the specific needs of the instrument user. Specific attention will be given to applications aimed at mechanical production and manufacturing industry. The class comprises a number of laboratory lessons, which explain and go into the main experimental techniques and are considered a fundamental part of the course.

Educational objectives

This course is addressed to kinematics and dynamics of industrial robots. Introductory cognitions of mechanical components and control are also imparted. Basic concepts of mechanics are developed towards multi-body systems, especially serial kinematics chain robotic arms, in order to provide for the students the tools necessary to deal with robotics applications.

Educational objectives

OBJECTIVES. The course gives the key competences of operations management, both from an organisational-management and a technical-operational point of view. The expected learning outcomes are the capabilities to analyse the relationship of market and supply chain, the role and processes of the company within the supply chain, and the applying knowledge and understanding of the methodologies for production and inventory management.
EXPECTED LEARNING OUTCOMES. Knowledge and understanding: knowledge and understanding of the most important processes and techniques for operations management, and supply chain management. Models and methods for materials management, for the production configuration, the calculation of economic production quantity, and the planning and programming techniques. Capability: capability to analyse with a systemic approach, model problems and identify the best techniques for solving the main challenges of supply chain management, production, and logistics, with a focus on production planning/programming and materials management.

Educational objectives

The aim of this course is to give a systematic view of methods used in industrial diagnostic with a special interest on energy conversion systems and fluid machineries. The general objectives being the methodologies to failure mode analyses, fault detection and isolation. A peculiar attention will be given to AI based methods for the analysis of big-data collected in sensor networks.

Educational objectives

Learn a critical approach to tribological problems and their impact on sustainable development. Acquire conceptual tools for optimizing friction and wear. Acquire the knowledge for a design of mechanical systems that takes into account tribological issues, with a view to energy and functional optimization. Being able to analyze, simulate (experimentally or numerically), interpret and solve problems of friction and wear in mechanical systems, taking into consideration the constraints dictated by eco-tribology (pollution of particulates and lubricants, durability and sustainability of systems, … ). Be able to participate in development projects in the main industrial sectors: tribology of sliding and non-sliding contacts, tribology in extreme conditions (contacts subject to vibrations, high pressure, low and high temperatures, …), bio-tribology. The course is based on the presentation of theories and methods of contact investigation, in parallel with the presentation of current industrial problems and proposed methods of analysis and resolution.

Educational objectives

General objectives
The course aims to provide the student with a unified theory for the study of vehicles in general, with particular reference to terrestrial and marine vehicles. On one hand the vehicle is decomposed into sub-systems: (i) propulsion (ii) transmission (iii) thrust and directional components (iv) suspension systems (v) brake systems (vi) guidance and control. On the other hand, a general model of the vehicle integrating the considered sub-systems is developed able to predict the different manoeuvring ability of the vehicle. The theoretical foundation to approach vehicle dynamics is provided.

Specific objectives
Knowledge and understanding:
The student will learn the basic methods for vehicle modelling, analysis and control. In the first part of the course the notions of vehicle dynamics are conveyed to the students, while in the second part, particular attention is paid to the mechanical, sensor and hardware subsystems in use.
Apply knowledge and understanding:
The student will be able to analyse and design different architectures of terrestrial and marine vehicles. Moreover, the student is required to mature a sufficient knowledge to integrate the mechanical design together with control algorithms for autonomous driving vehicles.
Critical and judgment skills:
The student will be able to choose both the modelling methodology most suited to the specific problem, and will be able to examine an innovative device in the field of vehicle dynamics, understanding the operating principles and carrying out a feasibility analysis, examining, when needed, the related patents.
Communication skills:
The course activities allow the student to be able to communicate / share the main content related to the innovation of new devices/vehicles, through the team’s work when preparing the team’s project. Moreover, the final examination of the team is inherent to market needs, modelling of vehicles, simulations and theoretical analysis of components of vehicles, that are part of a professional presentation prepared by the entire project team.
Learning ability:
The student will be able to tackle a project synthesis problem thanks to the planned examination method. The student, appropriately guided, puts into practice the "problem solving" techniques, i.e. the set of processes aimed at analysing, facing and solving a specific problem based on the examination of patents and/or recent publications.

Educational objectives

A) Learning of basic knowledge of mathematical models of Continuum Mechanics based on Partial Differential Equations. Learning of the main perturbative methods: direct perturbative method, multiple scales and boundary layers.

B) Learning to set up and analyze problems for Partial Differential Equations. Learning to use the main perturbative methods when small parameters appear, also by means of qualitative analysis.

D), E) Development of the ability to understand qualitatively the solution, to exchange the results and to seek help in textbooks or from experts. In this connection, construction and graphical visualization of solutions obtained by symbolic calculus (MUPAD toolbox for MATLAB).

Educational objectives

We expect the student to learn the use of sequences and series of functions (in particular Fourier and power series) and to reconstruct signals via Laplace tranform.

Educational objectives

The subject aims to guide the student in understanding the principles of operation of AC machines at variable speed. The module will provide methods to analyze the behaviour of AC drives both in steady state and during transients. Finally, it will give the student knowledge on how torque is controlled in these machines.

Educational objectives

GENERAL

The course aims to give to the student the tools for the understanding and the design of electronic circuits and systems for mechatronics.

SPECIFIC

• Knowledge and understanding: Deep knowledge of the main electronic systems used in mechatronics, with particular reference to analog and digital control systems, sensors and actuators.
• Applying knowledge and understanding: Ability to analyze and design electronic systems for mechatronics. Acknowledge of competences to design and make electronic circuits for control. Ability to interact and operate among the stakeholders belonging to the various disciplines involved in mechatronic systems design, making and management.
• Making judgements: Ability to choose, compare and design state-of-the-art electronic systems for mechatronics.
• Communication skills: Capability, analysis and comparison of state-of-the-art electronic systems for mechatronics.
• Learning skills: Ability to learn for onboarding in a professional environment of design, making and management of electronic systems for mechatronics.

Educational objectives

General objectives

The course is composed of two modules and presents a selection of advanced topics in Robotics and is intended as an introduction to research.
Guided through case studies taken from the research activities of the teachers, the student will be able to fully develop a problem in Robotics, from its analysis to the proposal of solution methods and their implementation.

Specific objectives

Knowledge and understanding:
Students will learn some advanced control techniques used in some robotic research areas where the lecturers are active.

Apply knowledge and understanding:
Students will be able to use and design complex control systems for advanced robotic problems.

Critical and judgment skills:
Students will be able to evaluate some methodologies used in the difference robotic applied illustrated areas.

Communication skills:
The course activities will allow students to be able to communicate and share the different solutions, adopted in a research framework, for the different illustrated robotic areas.

Learning ability:
The course development aims at giving the student the capacity to design complex control systems for advanced robotic systems.

Educational objectives

The course aims to provide practical tools necessary to critically evaluate and deal with engineering and economic models numerically.

Educational objectives

The lab aims to familiarize with the complex phenomenon of ultrasound propagation in bubbly liquids, offering applications able to make understandable the role of this phenomenon in multiple technical applications (such as microfluidics, ultrasound medical imaging or soundproofing materials). Doing this it will provide knowledge and skills of critical evaluation of complex systems.

Educational objectives

The course provides the necessary tools to study the dynamics of EMS-Electromechanical Systems and their control, including systems of rigid bodies. Applications to mechatronic systems are approached in the course.

Educational objectives

Course goals

Signal processing algorithms are embedded nearly in every application that involves natural signal or data analysis and/or synthesis. The aim of this course is to provide a basic, yet comprehensive, introduction to the mathematical background to support the analysis of measurements as well as diagnosis and control of machines.

The course reviews some of the most important mathematical methods of digital signal processing related to mechanical engineering, such as Discrete Fourier Transform (DFT), Short Time Fourier Transform (STFT), Wavelet Transform, Hilbert Transform and the Empirical Mode Decomposition, for the calculation of signal features in time and frequency domains. Exercises from example applications and on numerical signal processing are provided: the student will be guided to analyze real life signals with the aid of Matlab software.

At the end of the course, the student will be able to evaluate the effects of signal processing and analysis on measurement data from real life machines and structures. These skills are essential e.g. in machine diagnostics, control engineering, machine automation and robotics. After the course, the student:

• Is familiar with some of the most important methods of signal analysis in the field of mechanical engineering.
• Understands the basic concepts relating to the sampling of time domain signals and the corresponding frequency spectra.
• Knows the most commonly used features in mechanical engineering measurements and understands their significance in describing mechanical quantities.
• Understands what kind of mechanical phenomena can be identified by time, frequency domain analysis, and time-frequency analysis.
• Is introduced to some of very important effects of signal processing and analysis on the usability of measurement data for condition monitoring of mechanical structures.

In doing that, the student will be introduced to Matlab numerical computing environment, also with the support of shared codes and worked examples. The student will be guided to:
• Understand the basic concepts of discrete time signal processing.
• Understand how Matlab is used to perform analyses.
• Understanding the physical meaning of the results provided by Matlab.
• Solving mathematical/physical problems using Matlab.

Educational objectives

The Laboratory aims to provide the basic elements for the execution of a vertical action of technology transfer from one research institution to a small or medium enterprise

Educational objectives

Measurements of Fluid Machine Performances

Educational objectives

The objective of the laboratory focuses on the application of knowledge of traditional measurement systems and some of the advanced and distributed monitoring technologies for the conservation and restoration of cultural heritage. The laboratory or ON-field experimental activities will be defined individually or in groups with the students. Eligibility will be awarded after a personal presentation of the activities carried out.

Educational objectives

This Laboratory aims to connect the theoretical arguments considered in the course of Centrali Termiche and industrial applications. This is done also by developing small design projects or by considering effective conditions.

Educational objectives

RENEWABLE ENERGY SYSTEM DESIGN has the general training objective: an effective design of plants for distributed generation in urban and rural areas.
Specific objectives will therefore be: to understand both the energy demand and the potential of the electric or thermal generation in a territory on the basis of the lectures described in the program, supported by practical activities (a visit, a design, a power point presentation in the classroom).

Educational objectives

To provide students with the basics of of computerized calculation of frames of beams, either naturally discrete or discretized.

Educational objectives

The particularly professionalising characteristics of the discipline "Safety of Industrial Plants" suggests, in addition to theoretical training, practical training through the preparation of an executive project consistent with the contents of the 6 CFU course program.

Prerequisite for participation in the "​lab of industrial risk assessment and prevention" is therefore, passing the 6 CFU "Safety of Industrial Plants" course.

Educational objectives

Give the student the basic knowledge on the use of
laboratory equipment for automotive measures and allow the direct application
of concepts learned in the context of ongoing projects in the laboratory.

Educational objectives

To introduce the basic description of supersonic flows in internal/external flows also including heat transfer or dispersed particles motion. This will complement the competence of future Industrial Engineers in analyzing the dynamic of turbulent flows and the aero-acoustic phenomena occurring in industrial equipment. These arguments are not considered in the other courses held in Mechanical Engineering.

Educational objectives

The Laboratory of Numerical Fluid Dynamics Assisted by Machine Learning is an integrative activity which introduces the student to the operational aspects of the numerical simulation of flows and to the use of machine learning and automatic differentiation techniques in support of the study of fluid dynamics problems. The Laboratory offers students the opportunity to implement numerical solvers first-hand, to learn the methodologies of differentiable scientific computing, and to apply them to optimization and analysis problems of engineering interest, developing operational skills transferable to research and applied contexts.

Educational objectives

The course focuses on multibody modeling of vehicles and its subsystems. The student will acquire the fundamental elements to be able to develop and design a complete car or motorcycle by including the modeling of suspension elements with variable parameters and control systems for the implementation of actuators.

Educational objectives

The aim of the course is to develop skills in the ability of applying advanced knowledge about finite element calculations.

Educational objectives

Provide the theoretical and practical abilities to fabricate a functional component via Additive Manufacturing technologies. In particular: - cabability to manage, repair and process a 3D model; - choice of the process parameters taking into account the post-processing and the further secondary operations; - spread among several secondary operations typical of AM technologies; predict the cost and time needed for the entire process.

Educational objectives

The Aerodynamics of Vehicle Laboratory is a supplementary activity (3CFU) aimed to introduce
students to the modern numerical techniques employed in simulation of external turbulent flows. The
purpose is to allow the development of the capabilities needed to address problems concerning the
aerodynamics of transportation or racing vehicles.

Educational objectives

The laboratory is aimed at analyzing and looking for possible solutions of vibro-acoustic problems, through the study of aspects related to the modeling of problems (FEM, BEM, SEA) and their characterization through experimental tests.

Educational objectives

The course gives on-field experience to apply technologies of Industry 4.0. The course, as an extension of the Smart Factory course, develops one of its topics through the application of simulation models, business intelligence, machine learning, natural language processing, or defect detection and recognition.

Educational objectives

The aim of the course is to provide students with the basic knowledge needed to properly use the state of the art measurement systems in Experimental Biomechanics.

Educational objectives

The laboratory aims to provide the practical skills necessary for the tribological and dynamic analysis of mechanical systems. The basic notions will be explained and concretized through experimental and/or numerical tests aimed at applying the notions acquired during the respective courses.

Educational objectives

The lab objectives include advanced CAD-CAE methodologies to support design development and optimization. In particular reverse engineering techniques (acquisitions and post processing), CAE simulations and topological optimization in the field of Design for AM, Virtual prototyping by VR and AR devices (with focus on assembly, ergonomics, process optimization). All the students will attend a general presentation of these methods and related applications so that in the lab her/his practical activities will be a project developed by the synergy of several of these methodologies.

Educational objectives

To provide theoretical and practical tools to design, manufacture and race a formula-style autonomous driving vehicle eligible to take part to Formula Student international series into the DV (Driverless Vehicles) class.

Educational objectives

The apprenticeship allows to acquire credits through laboratory activities or through the attendance at scientific seminars certified and approved by the council.

Educational objectives

The apprenticeship allows to acquire credits through laboratory activities or through the attendance at scientific seminars certified and approved by the council.