Abstract
This study introduces a novel multi-material topology optimization method that can represent material distribution with an arbitrary adjacency relationship. Different state spaces for the representation of material distribution are applied to the optimization of a permanent magnet motor for comparison. It is shown that the proposed method yields a higher permanent magnet motor torque performance compared to that of conventional methods. The effect of topology optimization setting on the optimized motor structure is also discussed.
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