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Computer Aided Design of Electric Machines
EEPE 7356
Erik Jonsson School of Engineering and Computer Science
Principles of force generation and distribution of electromagnetic forces within induction, permanent magnet synchronous, and reluctance machines. Introduction to finite element analysis of electric machinery. Electromagnetic, structural, and thermal fields in electric machines. Multi-physics analysis of electric machines. Optimization methodologies in multi-objective problems. Applications of artificial intelligence methods for optimal design of electric machinery. 3 credit hours.
Prerequisite: EEPE 6356.
Offering Frequency: Every two years
Grades: 23
Median GPA: A
Mean GPA: 3.957
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Computer Aided Design of Electric Machines
EEPE 7356
Erik Jonsson School of Engineering and Computer Science
Principles of force generation and distribution of electromagnetic forces within induction, permanent magnet synchronous, and reluctance machines. Introduction to finite element analysis of electric machinery. Electromagnetic, structural, and thermal fields in electric machines. Multi-physics analysis of electric machines. Optimization methodologies in multi-objective problems. Applications of artificial intelligence methods for optimal design of electric machinery. 3 credit hours.
Prerequisite: EEPE 6356.
Offering Frequency: Every two years
Grades: 23
Median GPA: A
Mean GPA: 3.957
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