2023-2024 / ELEC0041-1

Modelling and design of electromagnetic systems

Duration

26h Th, 26h Pr

Number of credits

 Master of Science (MSc) in Electrical Engineering5 crédits 
 Master of Science in Energy Engineering5 crédits 
 Master of Science (MSc) in Electromechanical Engineering5 crédits 
 Master of Science (MSc) in Engineering Physics5 crédits 

Lecturer

Christophe Geuzaine

Language(s) of instruction

English language

Organisation and examination

Teaching in the second semester

Schedule

Schedule online

Units courses prerequisite and corequisite

Prerequisite or corequisite units are presented within each program

Learning unit contents

Description of the course:

This course presents modern numerical techniques for the modeling and simulation of electromagnetic phenomena, as well as the basic design rules used in designing electromagnetic systems.

Table of contents:

The first part of the course is devoted to the study of finite element techniques for electromagnetics, as well as basic rules for the design of electromagnetic devices. Electrostatic, magnetostatic, electrokinetic, magnetodynamic and wave propagagtion models are presented. Different formulations and regimes are considered, as well as various couplings (thermal, mecanical, electrical and electronic circuits). The course is focused both on the mathematical foundations of the studied methods and models, and on their practical software implementation.

The second part is devoted to the study of specific topics or applications through individual and group projets. Applications covered during the last few years include: break down prevention in high-voltage room, magnetic field produced by underground cables, electric car motor, micro-satellite antenna, rocket electric valve, high-concentration solar cell, passive satellite attitude control, induced currents in the human body, capacity of depleted semiconductor, design of a microcoil, induction heating, direct EEG problem, magnetron model, scattering by micro mirrors, high-voltage electric cable, etc.

Learning outcomes of the learning unit

At the end of the course the student will have a general understanding of design, modeling and simulation techniques in electromagnetism, and will be able to simulate the behaviour of an electromagnetic device with finite elements using the open source software Gmsh and GetDP.

 

This course contributes to the learning outcomes I.1, I.2, II.1, II.2, III.1, III.2, III.3, III.4, IV.1, IV.2, V.1, VI.1, VI.2, VII.1, VII.2, VII.3, VII.4, VII.5 of the MSc in biomedical engineering.


This course contributes to the learning outcomes I.1, I.2, II.1, II.2, III.1, III.2, III.3, III.4, IV.1, IV.2, IV.6, V.1, VI.1, VI.2, VII.1, VII.2, VII.3, VII.4, VII.5 of theMSc in electrical engineering.

This course contributes to the learning outcomes I.1, I.2, II.1, II.2, III.1, III.2, III.3, III.4, IV.1, IV.2, IV.3, V.1, VI.1, VI.2, VII.1, VII.2, VII.3, VII.4, VII.5 of the MSc in electromechanical engineering.


This course contributes to the learning outcomes I.1, I.2, II.1, II.2, III.1, III.2, III.2, III.3, III.3, III.4, IV.1, IV.2, V.1, VI.1, VI.2, VII.1, VII.2, VII.3, VII.4, VII.5 of the MSc in engineering physics.

Prerequisite knowledge and skills

Course in mathematical analysis and course in numerical analysis.

Planned learning activities and teaching methods

Theory lectures, practical computer sessions, individual and group projects.

The number of projects varies from year to year, but is typically 2 or 3. The first projet is usually assigned early in the quadrimester, e.g. during the second or third week. The deadline for the last project usually coincides with the end of the quadrimester.

Mode of delivery (face to face, distance learning, hybrid learning)

Blended learning

Recommended or required readings

Cf. the course web site.

Written project reports.

Work placement(s)

Organisational remarks and main changes to the course

Contacts

Prof. C. Geuzaine (cgeuzaine@uliege.be)

Association of one or more MOOCs