Journal of the Japan Society of Applied Electromagnetics and Mechanics
Online ISSN : 2187-9257
Print ISSN : 0919-4452
ISSN-L : 0919-4452
Special Topic: AI-based design and analysis technology for electric machines
Application of Topology Optimization to Hybrid type motors
Yuki HIDAKA
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2022 Volume 30 Issue 4 Pages 402-407

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Abstract

 This paper presents novel multi-material topology optimization methods for hybrid-type motors. To improve the hybrid-type motors, two type optimization methods are proposed. In the first optimization method, optimization process is divided into two steps, and different material distribution is optimized on each step. In the second optimization method, combinatorial optimization is used to aid in the solution search. To validate the effectiveness, the proposed methos are applied to the hybrid-type motors.

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© 2022 The Japan Society of Applied Electromagnetics and Mechanics
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