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- W4200467744 abstract "Since the topology optimization (TO) has a higher degree of structural freedom than the shape optimization, the TO is actively applied to the motor design. Although the convergence speed of TO based on the sensitivity analysis, which is the gradient of objective function and constraint conditions with respect to the design variables, is generally faster than that TO based on evolutionary algorithm (TOEA), TOEA has the affinity to the optimization problem with many constraint conditions. In this paper, to improve the convergence characteristic of TOEA, the method to gradually increase the expansion order of Fourier series which models the magnetic structure in the design domain is proposed. When the order of Fourier series expansion is increased in the process of TOEA, the integrity of magnetic structures between lower and higher order of Fourier series is maintained by solving the least square problem to minimize the function expressing the degree of disagreement. The performance of the proposed TOEA is demonstrated in the permanent magnet motor and compared with the conventional TOEA and gradient-based TO." @default.
- W4200467744 created "2021-12-31" @default.
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- W4200467744 creator A5089948308 @default.
- W4200467744 date "2021-10-31" @default.
- W4200467744 modified "2023-09-23" @default.
- W4200467744 title "Convergence Acceleration of Multi-material Structural Optimization Method Based on Fourier Series Expansion for Outer-rotor Permanent Magnet Synchronous motor" @default.
- W4200467744 doi "https://doi.org/10.23919/icems52562.2021.9634499" @default.
- W4200467744 hasPublicationYear "2021" @default.
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