2.5-D Multi-Phase Topology Optimization of Permanent Magnet Motor Using Gaussian Basis Function

This article proposes a novel 2.5-D multi-phase topology optimization method using a Gaussian basis function for permanent magnet motors. The design region in the rotor was sliced into cylindrical layers; the 2-D topology optimization was performed for each layer such that the average torque was max...

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Veröffentlicht in:IEEE transactions on magnetics 2022-09, Vol.58 (9), p.1-4
Hauptverfasser: Otomo, Yoshitsugu, Igarashi, Hajime, Sato, Tomohiro, Suetsugu, Yoshihisa, Fujioka, Eiji
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creator Otomo, Yoshitsugu
Igarashi, Hajime
Sato, Tomohiro
Suetsugu, Yoshihisa
Fujioka, Eiji
description This article proposes a novel 2.5-D multi-phase topology optimization method using a Gaussian basis function for permanent magnet motors. The design region in the rotor was sliced into cylindrical layers; the 2-D topology optimization was performed for each layer such that the average torque was maximized, while the torque ripple was suppressed to the maximum possible extent. The proposed topology optimization could determine the rotor core and magnet shapes, as well as the magnetization direction. It was shown that the optimized 2.5-D topology optimization led to better torque performance when compared to conventional 2-D optimizations.
doi_str_mv 10.1109/TMAG.2022.3171558
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subjects Basis functions
Magnetism
Magnetization
multi-phase topology optimization
Multiphase
Normalized Gaussian net (NGnet)
Optimization
permanent magnet (PM) motor
Permanent magnet motors
Permanent magnets
Rotors
Shape
Shape optimization
Topology
Topology optimization
Torque
title 2.5-D Multi-Phase Topology Optimization of Permanent Magnet Motor Using Gaussian Basis Function
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