This course covers the basics needed for the design of an electrical machine. It introduces the different electrical machines, their components, and the main definitions / technical vocabulary needed for the design. It also sheds the light on the different methods of numerical modelling of magneto static systems as well as the finite element approach for the synchronous machine modelling. This course presents the basic analytical method for designing the various parts of a machine while relying on the client requirements (operating voltage, needed speed, geometrical sizing…). It also provides the student with the in depth knowledge needed to simulate the machine’s construction using CAD and Matlab software.

o Electrical Machines Design – Basics & Background: Overview on the different electrical machines, Machines Specifications, Analytical sizing of an electrical machine, CAD Design of an electrical machine
o Electrical Machines Design – Analytical Method for Design: Overview of the winding and the rotating field, Winding layers & Coefficients, Electric machines: materials & components, Design methodology for a PM Synchronous Machine
o Project: Design of an electric machine for a given predefined application using Matlab & FEMM 4.2 software

This course aims to understand
• Jet propulsion systems and their performance criteria applied to Air-Breathing and Rocket engines: Thrust; Specific Impulse; Propulsion efficiency; Tsiolkovsky rocket equation; Breguet aircraft equation.
• Fundamental of Compressible flows: Mach number and thermodynamics of compressible flows; Shockwaves; Conservation laws; application to Isentropic flows.
• Rocket engine design: Stagnation and critical states; operating mode of nozzles in rocket engines; influence of combustion pressure and temperature and of nozzle geometry on the thrust finally produced. Calculation of the resulting specific impulse.
• Propulsion systems combustion processes: influence of fuel composition and of Air-Fuel Ratio on the performance of air-breathing combustion processes; use of liquid and solid propellants in rocket engine combustion processes.
• Air-breathing propulsion turbomachines: Thermodynamic cycles used in turbojet or turbofans engines; influence of pressure ratios, air and fuel mass flow rates, blades geometries on the engine performances (specific impulse, propulsion efficiency and specific fuel consumption).

This course introduces the student to the subject of Computational Fluid Dynamics, as well as numerical methods for predicting fluid flows and heat transfer in flows. This course aims to help students get a good level of expertise in flow modeling for engineering applications by conducting practical work on a well-known commercial tool.
Lectures content (6h)
• Introduction to CFD: CFD fundamentals, principles, and steps
• Turbulence modeling for CFD part I: Turbulence characteristics and properties, Mean-flow equations
• Turbulence modeling for CFD part II: Turbulent-viscosity models (RANS models), Near-wall treatments
Practical work: (16h)
• Introduction to Ansys Fluent CFD tool: Fluid Flow and Heat Transfer in a Mixing Elbow
• Practice on Ansys Fluent CFD tool: Modeling external Compressible Flow
• Practice on Ansys Fluent CFD tool: Modeling Transient Compressible Flow
• Practice on Ansys Fluent CFD tool: Assessment project

• Gas turbine technologies (heavy duty, aeroderivatives, etc.), improvements (cogeneration, combined cycles) and uses.
• Gas turbines specific combustion processes: operating modes, thermodynamics models, practical fuels and pollutants management.
• Theory of turbomachines applied to compressible flows and gas turbines.
• Gas turbine thermodynamic cycles.
• Main components and technological aspects of gas turbine technologies.
Steam cycle ; Theoretical cycle; actual cycle coupling of gas turbine cycle with steam cycle HRSG

1. Introduction to Hydrogen Technologies: Production, Storage, and Transport of Hydrogen (2H)
a. Physico-chemical properties of hydrogen.
b. Green, grey, yellow, and blue hydrogen.
c. Hydrogen production through natural gas reforming.
d. Hydrogen production through water electrolysis.
e. High-pressure gaseous hydrogen storage.
f. Low-temperature liquid hydrogen storage.
g. Metal hydride-based solid hydrogen storage.
h. Hydrogen transport: Compressed gas cylinders/cryogenic liquid tanks, pipelines (gas pipelines, hydrogen pipelines, etc.).
2. Fuel Cells: Introduction to Different Technologies (2H) (2H)
a. History of the fuel cell.
b. Operating principle of a fuel cell.
c. Different types of fuel cell.
3. Proton Exchange Membrane Fuel Cell (PEMFC) (2H)
a. History.
b. Chemical reaction.
c. Fuel cell stack.
d. Operation.
e. Degradation mechanisms.
f. Design of the Membrane Electrode Assembly (MEA).
g. PEMFC system: Fluidic architecture, thermal management, and power interface.
4. Tutorials (4H)
a. Sizing a PEMFC stack with hydrogen storage
5. Lab : Characterization of a PEMFC (4H)
a. Establish the characteristic curve of a PEMFC.

• The role of energy in society; Forms of energy; Primary energy; Thermodynamics fundamentals and Energy conversion technologies.
• Electricity generation, transmission, and distribution; Renewable technologies; Smart grids; Energy storage; and Nuclear power.
• Economic payback modelling and quantitative analysis; Environmental impacts of energy use; and Energy efficiency of renewable energy systems.
• Legislation; Markets; Financial support schemes; and Regulations

• Information Systems in Supply Chain
• Focus on ERP
• Project Management in Supply Chain
• Demand Management
• Forecasting Management
• Warehouse and Distribution Management
• Procurement strategies and Suppliers Management

• XR:
- Discover SimLab software solutions for developing VR/AR applications
- Developing the first VR experience
- Understanding how SimLab software works with VR/AR equipment
• Product Lifecycle Management - PLM :
- PLM Introduction
- Windchill PLM software
- Project view
• Plant Layout 2 :
- Redo the implementation from last year, with the simulation flows of a robotic equipment

Business simulation THE BLUE CONNECTION (publisher INCHAINGE) which students will play via a web interface (in English). ECAM La Salle is a forerunner in the deployment of this game (we work in parallel with professors from HEC). The game takes place in 6 to 8 rounds, the students work in teams of 3 or 4 and each plays the role of a manager within the fictitious company The Blue Connection:
- Sales management
- Purchasing/design department
- Supply chain management
- Finance department The company sells bicycles (only one model) to 3 different customers and is in great financial difficulty.
The goal of this game is to make the company profitable while developing a circular economy. In each round, the students test and deploy a circularity or life extension strategy (maintenance/warranty, refurbishment, remanufacturing, recycling). In the final rounds, they must choose their own strategy, implement it and explain it in an individual report.

Application of creative brain theory
Use of ideation techniques (e.g., brainstorming, SCAMPER, etc.)
Definition and synthesis of potential solutions
Clear description of how each solution addresses the issues highlighted in the user research phase

Segmentation
- Definition of target customer segments
- Identification of customer needs and profiles

Needs Intensity
- Evaluation of the problem intensity using a quantitative method
- Reframing the problem if necessary
- Visual representation of the idea on a Business Model Canvas
- Qualitative analysis using key success factors for innovation adoption

Value Proposition
- Description of the solution and how it addresses the problem
- Unique and defensible aspects of the product
- Revolutionary character of the solution and supporting evidence
- Analysis of customer behavior change and adoption drivers
- Evaluation of simplicity, accessibility, integration potential, and perceived value
- Estimation of return on investment (ROI) and time to value

Functional Analysis
- Clarification of objectives
- Definition of product life cycle and key life phases
- Environmental diagrams for each key phase
- Functional diagnosis
- Function table with measurable criteria and performance targets

Interactional Analysis
- Detailed use cases and justified hypotheses
- Prioritization of non-functional criteria (usability, ergonomics, etc.)
- Specification of context of use and constraints

Field observations: assumptions, procedures, and key findings
Identification of relevant user, task, and environmental parameters
Creation of personas with clear justifications
Development of a UX map

The presentation of the relations between the physical properties of a mechanical system and its vibratory behavior is carried out in the form of lectures on the following points:

1 - Vibration of a system with one degree of freedom:
Conservative System: Free Movement - Clean Pulsation - Kinetic Energy and Deformation Energy.
Non-conservative system: Viscous damping model - Frequency response - Resonance.

2 - Vibrations of discrete systems with n degrees of freedom:
Modes of vibration - Calculation of modal characteristics - Decoupling of equations of motion - Proportional damping model - Modal superposition - Frequency response - Experimental modal analysis.

3 - Vibration reduction methodology:
Vibration isolation - Modification of a natural frequency - Increase of the damping - Use of a dynamic dampener granted

• Jet propulsion systems and their performance criteria applied to Air-Breathing and Rocket engines: Thrust; Specific Impulse; Propulsion efficiency; Tsiolkovsky rocket equation; Breguet aircraft equation.
• Fundamental of Compressible flows: Mach number and thermodynamics of compressible flows; Shockwaves; Conservation laws; application to Isentropic flows.
• Rocket engine design: Stagnation and critical states; operating mode of nozzles in rocket engines; influence of combustion pressure and temperature and of nozzle geometry on the thrust finally produced. Calculation of the resulting specific impulse.
• Propulsion systems combustion processes: influence of fuel composition and of Air-Fuel Ratio on the performance of air-breathing combustion processes; use of liquid and solid propellants in rocket engine combustion processes.
• Air-breathing propulsion turbomachines: Thermodynamic cycles used in turbojet or turbofans engines; influence of pressure ratios, air and fuel mass flow rates, blades geometries on the engine performances (specific impulse, propulsion efficiency and specific fuel consumption).

This course introduces the student to the subject of Computational Fluid Dynamics, as well as numerical methods for predicting fluid flows and heat transfer in flows. This course aims to help students get a good level of expertise in flow modeling for engineering applications by conducting practical work on a well-known commercial tool.
Lectures content (6h)
• Introduction to CFD: CFD fundamentals, principles, and steps
• Turbulence modeling for CFD part I: Turbulence characteristics and properties, Mean-flow equations
• Turbulence modeling for CFD part II: Turbulent-viscosity models (RANS models), Near-wall treatments
Practical work: (16h)
• Introduction to Ansys Fluent CFD tool: Fluid Flow and Heat Transfer in a Mixing Elbow
• Practice on Ansys Fluent CFD tool: Modeling external Compressible Flow
• Practice on Ansys Fluent CFD tool: Modeling Transient Compressible Flow
• Practice on Ansys Fluent CFD tool: Assessment project

Macromolecules: degree of polymerization, tacticity, synthesis.
Polymers: structures, thermoplastics, thermosets, state changes, thermal and mechanical properties, additives.
Specific applications of polymers. The use of conductive polymers, bio-sourced and biodegradable polymers, polymers for packaging or fuel cells are discussed. The interest of developing copolymers is also treated.

The course Society, Management and Entrepreneurship Project 1 will consolidate the students’ knowledge of the social sciences and management theory and apply it to creating a business. The course will use a mixture of lectures and case studies to help students become autonomous in their own learning.

-ROS (Robot Operating System)
-Numerical Jacobian, singularity avoidance
-Trajectory and path planning for robot arms
-Performance evaluation : accuracy, precision, load, repeatability, workspace
-Dynamics of a robot arm (inertia, Coriolis)
-Visual servoing
-Programming a robotic arm and a mobile robot

1. Introduction to signals : continuous/ sampled/ discrete
2. Distinction between Difference equation (used to describe Discrete systems) and differential equation (used to describe continuous systems)
3. Signal sampling and quantization
*Sampling of continuous signals
*Signal reconstruction
*Practical considerations for signal sampling : anti-aliasing filter
*Practical reconsiderations for signal reconstruction :anti-image filter and equalizer
*Analog to digital conversion
*digital to analog conversion/quantization
4. Determination of the z-transform
*Introduction to the z-transform and its properties
*Illustration of how we determine the inverse of z-transform using the partial fraction expansion
*The use of the z-transform to solve linear difference equations
5. Digital Proportional, PI and PID controllers
*Determination of the equation of the digital controller (case of P , PI and PID)
*The implementation of digital P, PI and PID on real systems and the evaluation of the system performances

1. System representation : the state-space representation SSR of monovariable and multivariable systems
2. Determinantion of the system’s Block diagram
3. Determinantion of the State space representations in canonical forms : Controllable,Observable,Diagonal/Jordan
4. Evaluation of the Controllability and the observability of a given LTI system using the Kalman citerion
5. Design of State-feedback controller using the Ackermann’s formula
6. Analysis of system performances : precision, rapidity, robustness against the presence of disturbances
7. System linearization using the Tylor expansion

The scrum methodology is introduced to the students. Then, they apply this agile framework during the whole duration of the project.
Each group of students receives a project of robotic application. They state the problem before designing the robotic system that corresponds to the specifications. Then, they build their system and test it extensively.
Finally, each group presents their work and write a report describing the technical and managerial aspects of the project.

This course is an introduction to the carbon footprint calculation method proposed by a French association, "Association Bilan Carbone".
It will consist of a :
- Reminders about Green House Gases and introduction to global warming potential
- Definition of carbon footprint
- Definition of the 3 scopes
- Presentation of the carbon Footprint computation method
- Presentation of th Carbon Footprint approach

Introduction to experience plans :
- What is an experience plan and how to implement it ?
- Several notions : factors, levels of the factors, mathematical model
- Experience plans : 2 factors and 2 levels
- Experience plans : 3 factors and 2 levels

Product FMECA :
One case of study to understand what is the purpose of product FMECA and how to implement it : how to reduce the problem at the conception phase of a product

Lean-6 sigma tools :
Discovery of the different lean tools in the context of a problem-solving approach :
- What is the Lean (context and historical approach)
- What is 6 sigma (context and historical approach)
- What are the tools related to these topics (DMAIC, 5S, Ishikawa, root causes : 5W…)
- Possiblity to implement all of these tools with one tutorial : A3 problem solving method.

2*2h Lectures
2*2h Guided tutorial
2*2h Project Follow up
15h autonomous work

This course covers the basic characteristics of DC and AC motors and describe their principle of operation and control within a power electronic environment. Basics in power electronics, electric machines and control circuits are reviewed and the overall systems is studied. Control techniques for DC drives are underlined and the four-quadrant operation is analysed. Control strategies for AC drives are discussed as well, mainly the scalar control, the field oriented control and the direct torque control. Detailed modelling of the control of induction motors using the FOC method is carried out.

o Electrical Machines Drives – General Overview: Review on Control Systems, Review on Power Electronics, Review on Electrical Machines
o DC Motors Control: Introduction to DC Drives, Four-Quadrant Control, Closed Loop Control, Electronic Control
o AC Motors Control: Basic Control of Induction Motors (Vs, Vr, F, V/F), Scalar Control
o AC Motors Control: Understanding the Challenges, Park Transformation (dq domain), Dynamic Model of Induction Motors, DC Machine Analogy, Field Oriented Control

The course resumes the basics of rigid body mechanic.
The movement is studied independently of its causes first. The kinematic and the associated torsor are introduced. The course
focus and the point before extrapolating the results to generic solids.
Mechanical actions and their modelling is presented in order to apply the dynamic notions.
Newton’s laws are introduced et allow to link the movement to it cause. Furthermore, the energy formalisme is introduced.
Exercises are done after each notion to put into practice formula and method introduced in the course.

Group Project structured around various sessions of group work with access to the necessary computer resources.

• Presentation of different types of energy storage systems (heat, mechanical and electrochemical);
• Definition of energy and power densities;
• Description of the operating principle of rechargeable batteries and their fundamental electrochemistry (lithium-ion batteries, lead-acid batteries, etc.);
• Definition of the electrical characteristics present in the data sheet of each electrochemical storage system;
• Description of the operating principle of conventional supercapacitors using the double layer capacitance theory;
• Presentation of the chemical constitution of hybrid supercapacitors such as lithium-ion capacitors;
• Description of aging mechanisms that may arise in different types of batteries and supercapacitors;
• Comparison of different energy storage systems using the Ragone Diagram;
• Presentation of electrical modeling methods of electrochemical energy storage systems;
• Presentation of power converters used with energy storage systems;
• Description of the tools integrated in management systems that aim to control energy storage systems;
• Presentation of an example of a complete system integrating an energy storage system, the corresponding management system and the power converters.

• Fundamental concepts of energy engineering: primary energy, final energy, embodied energy, lost energy, etc.
• Performance criteria used to assess existing systems or processes: efficiency, effectiveness, energy returned on energy invested (EROI), etc.
• Definitions and limitations of today’s energy resources: peak oil, GHG emissions, etc.
• Carbon cycles and balances: why it is important and how to use them.
• The energy transition and its numerous challenges.

• The exergy and anergy concepts and their relation with energy.
• Applications of exergy and energy balances to closed or open systems, housing or not internal reactive processes : heat engines, refrigeration machines, heat exchangers, internal combustion engines, HVAC systems;
• Exergy efficiency and effectiveness of energy systems;
Exergy analysis on CSP backed up by TES

- Electrical AC grids.
- Electrical DC grids.
- Electrical safety measurements.
- Autonomous energy grid (smartgrid) sizing and control.

* Lectures
* Quiz sessions
* Final certification exam

• Strategies & Effective Meeting Falication using IoT, DMAIC, 5S, UX, HMI
• Analyse the product/process impacts and propose improvements
• Organisation and management of a production through a challenge in the "School Factory" platform
• Discovery and Robotization Project:
- To be able to manipulate robots virtually and physically
- Initiation to a method of implementation of robotic equipment
- To determine the cost effectiveness of robotization on workstation
- Difference robot/cobot (strategic, productivity, safety ...)
- Risk analysis
- Robotisation criteria

* Lectures, tutorials and lab work on the main concepts
* Implementation during the red thread team project (Connected Speaker)
* Simulation on the Theory of Contraints (TOC)
* Serious game DDBrix on DDMRP
* CSCA course material

- Introduction to welding:
- Definition
- Weldability of materials
- Methods of welding: Gaz welding, arc welding, MIG, TIG,...
- Indication of welding on technical drawing
- Rules in mechanical design
- Use of standard profiles:
- Cutting
- Laser cutting
- Roll bending
- Sheet metal work:
- Cutting: shearing, plasma, laser, water jet, punching
- Bending
- Roll bending
- Stamping
- Corrosion prevention
- Use of CREO Parametric
- CAD project

Integration of the digital chain in the preparation work. Cutting conditions for solid materials.
Optimization of the machining parameters (cutting conditions, CAM "Spirit", process studies, choice of tools ...).

1. Introduction
• Definition of Tribology and Tribological Systems
• Applications and Scales in Tribology
• Types of Motion
• Tribological Testing and Types of Tribometers
• Roughness
2. Lubrication and Lubricant Properties
• Classification of Lubrication and Lubricant Properties
• The Stribeck Curve and Lubrication Regimes
• Types of contacts and film thickness
• Hertzian Contact Theory
• Solid-Solid Contact-Asperity Deformation
3. Friction
• Friction Coefficient
• Types of Friction
• Laws of Dry Friction
• Basic Mechanisms of Sliding Friction
• Adhesion and Deformation
• Stick-Slip Phenomenon
4. Fluid Film Lubrication
• Classification of Fluid Film Lubrication
• Newtonian and Non-Newtonian Fluids
• 1-D Flow between Parallel Plates
• Hydrostatic and Hydrodynamic Thrust Bearings
5. Wear
• Parameters and Stages of Wear
• Wear Types and Mechanisms
• Wear Rate
• Causes of Wear and Prevention Methods

Why do we need Finite Element Analysis (FEA) in engineering analysis ?
Various FEA applications
Stiffness
Stiffness of a spring and a bar
Basic steps involved in FEA
Types of FEA and element types used in FEA
Derivation of stiffness matrix
Problem solving on spring and bar elements
Matlab basics and Problem solving on spring and bar elements
Beam elements
Isoparametric formulations and shape functions

The course Society, Management and Entrepreneurship Final Project 2 will consolidate the students’ knowledge of the social sciences, entrepreneurship and management theory. It builds on students’ learning in SME Final Project 1 by further developing their businesses and outlining strategies for expansion in international markets.

-Definition of a PLC
-Hardware components of a PLC
-Connection of I/O modules
-Program a filling machine using Ladder, Function block, Structured text, Grafcet
-Train on data types, variables

The scrum methodology is introduced to the students. Then, they apply this agile framework during the whole duration of the project.
Each group of students receives a project of robotic application. They state the problem before designing the robotic system that corresponds to the specifications. Then, they build their system and test it extensively.
Finally, each group presents their work and write a report describing the technical and managerial aspects of the project.

* Introduction to IA and Machine Learning
° Model Based Learning - main concepts and definitions
° Exact solution, iterative solutions, Gradient Descent
° First algorithms: Regressions
- Linear Regression
- Logistic Regression
° Data preprocessing
° Hyperparameter tuning

* Towards Deep Learning
° more on preprocessing (categories encoding) and data sets
° From biological neuron to perceptron
° Multilayer Perceptron
° Convolutional Neural Networks
° Transfer Learning

* Introduction to Natural Language Processing
° Some important ideas about NLP
° Example of statistical NLP (Multinomial Naive Bayes)
° NLP with Deep Learning (LSTM)

* Other algorithms

* Group project (text classification, image classification, recommendation, regression...)

-Introduction to camera features
-Introduction to the importance of lighting in image acquisition
-Introduction to various technologies in image acquisition
-Practical application on stereovision

-Definition of industrial networks: Ethercat, Profinet, OPC-UA, IO-Link…
-Practical on PLC/sensors/actuators communication using several industrial networks.
-Definition of safety regulations
-Procedure to perform risk analysis
-Definition of drive-based and controller-based motion planning followed by practicals

This course divided into four parts. In the first part will give an overview of industrial robots basic components and structures. Part 2 depicts principles and methods of programming robots. Part 3 describes industry robotisation and robots workstations. The final part touches the safety of industrial robots and cobots.
In this course, we will explore Arm construction and drives, Coordinates systems (BASE • TOOL • TCP • Part frame/User frame/Working frame), programming methods (Online • Offline), Robotized workstations/cells, risk assessments of robotic cells and standardizations/normalizations.

• Introduction to industrial robotics
• Basic components of industrial robot systems
• Structure of industrial robots
• Collaborative, non-collaborative, and mobile industrial robot applications
• Industrial robot’s motion
• Methods of programming robots
• Hazards associated with industrial robot applications
• Safety considerations for employers and workers
• Risk assessments
• Risk reduction measures
• Applicable industry standards for industrial robot system safety

-Introduction to IoT devices and their architectures (microcontroller, antenna…)
-Introduction to radio waves and principles of modulation (amplitude, frequency and phase)
-Definition of the various IoT networks (Short-range, LPWAN, Cellular)
-Practical case study to choose the best IoT solution given technical specifications
-Practical introduction to IoT programming with Sigfox modules for Arduino board

This course is an introduction to the circular economy concept. In this course, student will learn about the 7 pillars of the circular economy with many examples.

Session 1 – Introduction to Corporate Social Responsibility
Foundations and Historical Context
Fundamental Principles of CSR
CSR Frameworks and Reporting Standards
CSR Challenges and Opportunities

Session 2 – Building a CSR Strategy
General Approach for Companies
CSR Strategy Development Methodology
Case Studies and Practical Examples

- Innovation management for companies (different types)
- Intellectual property: patent deposit, management of patents
- General management of organizations for keeping the company's strategic advantages.