
handle: 2115/76840
This article proposes a two-step topology optimization method based on the normalized Gaussian functions. The proposed method is shown to be effective for design of a claw-pole alternator. In this method, the global search using the micro-genetic algorithm ( $\boldsymbol {\mu }$ GA) is followed by the local search using the sensitivity analysis based on the adjoint variable method. The 3-D structure of the rotor is optimized using the proposed method under low- and high-speed conditions.
NGnet, genetic algorithm (GA), claw-pole alternator, Adjoint variable method, 420, topology optimization
NGnet, genetic algorithm (GA), claw-pole alternator, Adjoint variable method, 420, topology optimization
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