Course detail

# Electromagnetic Field Modeling

The principle of the finite element method and its possibilities for different variants of electromagnetic field problems. Method options, examples of different applications for calculating electromagnetic fields from static to optical frequencies field are practiced in computer exercises. Working in an ANSYS environment. Use pre-prepared input data to learn how to solve more complex tasks. Direct solution of Maxwell equations by FDTD.

Learning outcomes of the course unit

An overview will be provided of the principles characterizing the methods for numerical modelling of electromagnetic fields. On this basis, the students will be able to:
- explain the numerical modelling methods
- perform a numerical analysis of simpler problems related to the electrostatic field, the steady-state electric field in conductive materials, the magnetostatic and stationary magnetic fields, the vf electromagnetic field.
- set up a numerical model for combined coupled problems (electromechanical, electrothermal).

Prerequisites

Students wishing to enroll in the course should be able to explain the basic notions and physical principles of electromagnetism, and they ought to have a basic understanding of the mathematical notation of partial differential equations. In the course-based discussions, the participants are expected to assess the consequences of electromagnetic principles and/or effects.

Co-requisites

Not applicable.

Recommended optional programme components

Not applicable.

Dědek L., Dědková, J.: Elektromagnetismus. Skripta, VUTIUM, Brno 2000 (CS)
Haňka, L.: Teorie elektromagnetického pole, Praha, SNTL, 1982. (CS)
Míka, S., Kufner, A.: Parciální diferenciální rovnice I, Praha, SNTL,1983. (CS)
Polák, J.: Variační principy a metody – teorie elektromagnetického pole. Academia, Praha, 1988. (CS)
Teoretický manuál programu ANSYS Maxwell (ANSYS MaxwellTechnical Notes), ANSYS Inc., 2013. (EN)
Dědková, J., Kříž T.: Modelování elektromagnetických polí. Skripta, VUTIUM, Brno 2012. (CS)

Planned learning activities and teaching methods

The teaching methods include lectures and computer laboratories. Cource is taking advantage of e-learning system.
Student have to do compulsory ten projects/assignment in computer laboratories during the cource.

Assesment methods and criteria linked to learning outcomes

The students are required to produce 10 computer-based tasks during the semester. A task can be marked with max. 5 pts; thus, 50 pts in total can be won by a student in this portion of course work. Another grading component consists in the semester exam, for which the students can gain 50 pts.
The credits are awarded to students who actively participate in all tutorials (computer-based exercises), submit all assigned tasks, and win at least the minimum of 30 pts for the tasks submitted.
In order to successfully complete the course, a student is required to gain the credits before taking the semester exam, and the exam results must not be below 20 points.

Language of instruction

Czech

Work placements

Not applicable.

Course curriculum

1) Elementary concepts related to the numerical modelling of fields. The physical, mathematical, and numerical model. Selected problems of vector analysis. Physical quantities describing the properties of the electromagnetic field. Maxwell’s equations.
2) Analysis of the electrostatic field. Properties of materials in the electrostatic field. Poisson’s and Laplace's equations. Elementary, analytical, and numerical methods of solving Poisson’s equation. Principles of superposition and reflection. Computation of induction fluxes, the energy in a system of electrodes, the actual and mutual capacity of the system of electrodes. Computation of electrostatic forces, trajectory of the moving charge.
3) Analysis of the electric field of steady-state currents; the form of Poisson’s equation. Computation of Joule losses; the transfer (ground) resistance of earthed electrodes; step voltage.
4) Formal analogies of physical fields and their significance for practical modelling. Coupled problems: conductor heating as a consequence of current conduction.
5) Application examples and possibilities in the finite element method (FEM). Elements for the two-dimensional or spatial discretization of the geometry of the assigned configuration. Principles and operation of FEM network generators. Shape and approximation functions; approximation examples.
6) Principles of the FEM. Discretization of one- and two-dimensional linear Poisson’s equation. Examples of deriving the coefficients of a system of equations for the numerical solution of the electrostatic problem. Discretization of non-linear, two-dimensional Poisson’s equation.
7) Analysis of the magnetic field by means of the scalar magnetic potential. The reduced, differential, and generalized scalar potential. Computation of magnetic forces in a circuit having a permanent magnet and an air gap. Shielding of magnetostatic fields.
8) Analysis of the magnetic field using a vector potential. Voltage-excited coil field; coil field excited by an electronic circuit. Computation of the actual and mutual inductance of coils.
9) Analysis of harmonically variable fields. Eddy currents. Shielding of alternating magnetic fields. Current conductor located in the stator slot. Conducting cylinder and sphere in a harmonically variable magnetic field. Skineffect.
10) Analysis of high-frequency electromagnetic fields in waveguides and resonators. Computation of the radiation diagram; computation of the near and radiation fields of a dipole antenna. Computation of the peripheral parameters of an hf apparatus. Propagation of waves in free space; radiation and diffraction.
11) Principles of the method of finite differences and conditions for its practical use. Principle and application of the FDTD method.

Aims

Introduce the students to elementary numerical methods for the computation of electromagnetic fields. Use various field calculation programs as an instrument enabling the students to design their own simple programs based on the ANSYS system.

Specification of controlled education, way of implementation and compensation for absences

The controlled instruction and methods of its realization are stipulated within the yearly directive issued by the guarantor of the subject.

Classification of course in study plans

• Programme EEKR-M1 Master's

branch M1-KAM , 1. year of study, summer semester, 5 credits, theoretical subject
branch M1-EST , 1. year of study, summer semester, 5 credits, theoretical subject
branch M1-MEL , 1. year of study, summer semester, 5 credits, theoretical subject
branch M1-SVE , 1. year of study, summer semester, 5 credits, theoretical subject
branch M1-EEN , 1. year of study, summer semester, 5 credits, theoretical subject

• Programme EEKR-CZV lifelong learning

branch ET-CZV , 1. year of study, summer semester, 5 credits, theoretical subject

#### Type of course unit

Lecture

26 hours, compulsory

Teacher / Lecturer

Exercise in computer lab

26 hours, compulsory

Teacher / Lecturer

eLearning

eLearning: opened course