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Lecturer(s)
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Kušnír Tomáš, doc. Ing. Ph.D.
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Fessl Jiří, Ing.
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Grufík David, Ing.
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Course content
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1. Mathematics, vectors, matrices, tensors 2. Finite Element Method, 3. Dielectric and optic properties of materials 4. Temperature and mechanical properties of materials 5. Magnetic material properties. 6. Modelling of magnetic materials, hysteresis 7. Preisach model of hysteresis 8. Stoner-Wohlfarth model of hysteresis 9. Chua models 10. Inverse task - estimation of material parameters 11. Primcipal component analysis, Proper orthogonal decomposition 12. Neural Networks 13. Metamodeling, kriging
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Learning activities and teaching methods
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Laboratory work, Lecture
- Contact hours
- 52 hours per semester
- Preparation for formative assessments (2-20)
- 10 hours per semester
- Preparation for an examination (30-60)
- 30 hours per semester
- Team project (50/number of students)
- 15 hours per semester
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| prerequisite |
|---|
| Knowledge |
|---|
| to formulate boundary problem for electric and magnetic potential |
| to explain the sense of boundary conditions used in electromagnetism |
| explain an algorithm described using flow chart |
| Skills |
|---|
| to create and solve the FEM model of a simple device using electrostatic, current or magnetic field |
| write, compile and run a short programme in arbitrary programming language |
| Competences |
|---|
| N/A |
| N/A |
| N/A |
| learning outcomes |
|---|
| Knowledge |
|---|
| to explain the principle of the finite element method |
| to explain methods for solving inverse tasks |
| Skills |
|---|
| define and solve multi-physical tasks in a given software tool |
| use tools for metamodelling |
| use different models of hysteresis |
| Competences |
|---|
| N/A |
| N/A |
| teaching methods |
|---|
| Knowledge |
|---|
| Lecture |
| Seminar |
| Skills |
|---|
| Practicum |
| Project-based instruction |
| Competences |
|---|
| Project-based instruction |
| assessment methods |
|---|
| Knowledge |
|---|
| Combined exam |
| Test |
| Skills |
|---|
| Project |
| Competences |
|---|
| Combined exam |
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Recommended literature
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Kannan M. Krishnan. Fundamentals and Applications of Magnetic Materials. Oxford University Press, 2016. ISBN 978-0199570447.
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Kučerová Eva. Elektrotechnické materiály. Plzeň, 2002. ISBN 80-7082-940-0.
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Mayergoyz, I., D. Mathematical Models of Hysteresis and Their Applications. Amsterdam, Boston, London, 2003. ISBN 0-12-480873-5.
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Raúl Garreta, Guillermo Moncecchi. Learning scikit-learn: Machine Learning in Python Paperback ? November 25, 2013. Packt Publishing, 2013. ISBN 978-1783281930.
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