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Course info
KEV / MSS1
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Course description
Department/Unit / Abbreviation
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KEV
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MSS1
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Academic Year
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2023/2024
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Academic Year
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2023/2024
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Title
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Modeling and simulation of el.machines 1
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Form of course completion
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Pre-Exam Credit
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Form of course completion
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Pre-Exam Credit
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Long Title
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Modeling and simulation of electric machines 1
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Accredited / Credits
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Yes,
3
Cred.
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Type of completion
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Combined
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Type of completion
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Combined
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Time requirements
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Tutorial
3
[Hours/Week]
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Course credit prior to examination
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No
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Course credit prior to examination
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No
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Automatic acceptance of credit before examination
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Yes in the case of a previous evaluation 4 nebo nic.
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Included in study average
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NO
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Language of instruction
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Czech, English
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Occ/max
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Automatic acceptance of credit before examination
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Yes in the case of a previous evaluation 4 nebo nic.
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Summer semester
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7 / -
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0 / -
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0 / -
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Included in study average
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NO
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Winter semester
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0 / -
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0 / -
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0 / -
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Repeated registration
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NO
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Repeated registration
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NO
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Timetable
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Yes
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Semester taught
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Summer semester
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Semester taught
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Summer semester
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Minimum (B + C) students
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10
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Optional course |
Yes
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Optional course
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Yes
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Language of instruction
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Czech, English
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Internship duration
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0
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No. of hours of on-premise lessons |
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Evaluation scale |
S|N |
Periodicity |
každý rok
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Periodicita upřesnění |
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Fundamental theoretical course |
No
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Fundamental course |
Yes
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Fundamental theoretical course |
No
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Evaluation scale |
S|N |
Substituted course
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None
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Preclusive courses
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N/A
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Prerequisite courses
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N/A
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Informally recommended courses
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N/A
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Courses depending on this Course
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N/A
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Histogram of students' grades over the years:
Graphic PNG
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XLS
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Course objectives:
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To equip students with the ability to apply (on a user level) the finite element method to electromagnetic field calculations in electrical machines using available SW tools. The aim is to equip students with the skills to simplify complicated 2D / 3D models by removing minor details, choosing the appropriate symmetry and choosing the appropriate type of analysis. The course also aims to equip students with the skills correctly and critically interpret the results achieved.
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Requirements on student
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Objective of the course: Attendance at all exercises, semestral work and its proper defense.
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Content
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1) An overview of ANSYS-Maxwell software tool (environment philosophy, basic drawing tools, solver options, ...)
2) Choke calculation: Preparation of a parametric 3D model, setting of boundary conditions, adaptive and manual meshing, choice and setting of the solver.
- Calculation of stationary magnetic field (constant current / current density load)
- Calculation of non-stationary (harmonic) magnetic field (harmonic voltage / current load - demonstration of differences), calculation of losses in iron.
3) Choke calculation - continued:
- Possibilities of using an external power circuit and the philosophy of using "dedicated elements".
- Calculation of non-stationary magnetic field (transient task), Comparison with results from harmonic analysis, explanation of differences.
4) Using symmetry of geometry, sample of half, quarter and eighth symmetry, calculation of inductances and forces.
5) Transformer calculation (transient analysis): magnetic fluxes, induced voltage, calculation of self- and mutual-inductances. Comparison for sine and rectangular power supply.
6) Introducing RMXprt (environment philosophy, template overview, demonstration of options on a pre-prepared model)
7) Preparation of asynchronous motor model, calculation and extraction of simulation results
8) Export model to Maxwell (in full geometry and using symmetry), solver settings, calculation and basic postprocessing.
9) Preparation of a permanent magnet synchronous motor model (PMSM), calculation and extraction of simulation results
10) Export model to Maxwell (using symmetry), solver settings, calculation and basic postprocessing.
11) Individual work on given topic
12) Individual work on given topic
13) Presentation of results
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Activities
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Fields of study
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Studenti mají k dispozici školící materiál ve formě tutoriálů.
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Guarantors and lecturers
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Literature
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Time requirements
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All forms of study
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Activities
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Time requirements for activity [h]
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Practical training (number of hours)
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39
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Presentation preparation (report) (1-10)
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5
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Individual project (40)
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35
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Total
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79
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Prerequisites
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Knowledge - students are expected to possess the following knowledge before the course commences to finish it successfully: |
describe the behavior of electromagnetic fields in different physical environments |
explain the principles and construction (geometry, materials used) of electric machines |
define and describe usual operational modes of electric machines |
understand the theory of circuits and to manipulate with complex numbers (or symbolic-complex method) |
Skills - students are expected to possess the following skills before the course commences to finish it successfully: |
convert a 3D object into a 2D sketch (drawing) and vice versa |
Competences - students are expected to possess the following competences before the course commences to finish it successfully: |
N/A |
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Learning outcomes
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Knowledge - knowledge resulting from the course: |
classify and evaluate possibilities of finite element method in electromagnetic field calculations |
describe the principles of torque and losses in electrical machines and the significance of non-linear iron permeability within their analysis |
Skills - skills resulting from the course: |
analyze the electromagnetic field of the selected electric machine |
find a symmetry of solved geometry and decide correctly on the choice of the particular solver (type of analysis) |
discuss the results |
Competences - competences resulting from the course: |
N/A |
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Assessment methods
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Knowledge - knowledge achieved by taking this course are verified by the following means: |
Skills demonstration during practicum |
Skills - skills achieved by taking this course are verified by the following means: |
Skills demonstration during practicum |
Competences - competence achieved by taking this course are verified by the following means: |
Skills demonstration during practicum |
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Teaching methods
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Knowledge - the following training methods are used to achieve the required knowledge: |
Lecture with visual aids |
Skills - the following training methods are used to achieve the required skills: |
Task-based study method |
Competences - the following training methods are used to achieve the required competences: |
Task-based study method |
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