Duration
26h Th, 26h Pr
Number of credits
Lecturer
Language(s) of instruction
English language
Organisation and examination
Teaching in the second semester
Schedule
Units courses prerequisite and corequisite
Prerequisite or corequisite units are presented within each program
Learning unit contents
Description of the course:
This course presents modelling methods and numerical simulation techniques for electromagnetic phenomena, and their application to the design of electromagnetic systems.
Table of contents:
The theoretical part of the course is devoted to the study of finite element techniques for electromagnetics, from static (electrostatic, electrokinetic, magnetostatic) and quasistatic (electroquasistatics, magnetoquasistatics) models to electromagnetic wave propagation. The course is focused both on the mathematical foundations of the studied methods and models, and on their use to solve practical problems: frequency-domain vs. time-domain resolution, handling of global quantities and circuit coupling, treatment of nonlinearities, calculation of forces and mechanical coupling, thermal coupling, ...
The practical part of the course 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, microwave heating, modelling of superconductors, 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
Course materials and recommended or required readings
Cf. the course web site.
Written project reports.
Work placement(s)
Organisational remarks and main changes to the course
Course only organized on odd academic years (i.e. not organized in 2024-2025)
Contacts
Prof. C. Geuzaine (cgeuzaine@uliege.be)