Electric Motor Topology Optimization via Rotated Filter Projection and Adjoint Sensitivities

We present a unified projection-based framework for topology optimization of electric motor that concurrently handles rotor motion and density filtering on a static finite element mesh. The approach employs a projection operator to map the rotor design onto rotated configurations of the background mesh, thereby eliminating the need for mesh warping, remeshing, or sliding interfaces typically required for simulating rotor motion. The projection further ensures consistent density filtering across all rotation angles. The method’s details and implementation are discussed. As a concrete example, we apply this method to a representative synchronous reluctance motor (SynRM) rotor topology optimization problem. A multi-stage optimization strategy is used to handle the nonlinear constraints, resulting in an efficient high-torque rotor design with maximum torque deviation within 1% of the average torque. The results highlight the effectiveness and computational scalability of the proposed framework for high-fidelity electric motor topology optimization.

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Publication Details

Journal
IEEE Transactions on Magnetics
Published
2025-01-01
DOI
https://doi.org/10.1109/tmag.2025.3613266
Primary Topic
Topology Optimization in Engineering
Type
article
Field-Weighted Citation Impact
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article

Electric Motor Topology Optimization via Rotated Filter Projection and Adjoint Sensitivities

Ghanendra K. Das, Chung-Wei Lin, Bingnan Wang
IEEE Transactions on Magnetics
Topology Optimization in Engineering
article

Electric Motor Topology Optimization via Rotated Filter Projection and Adjoint Sensitivities

Ghanendra K. Das, Chung-Wei Lin, Bingnan Wang
article en

Abstract

We present a unified projection-based framework for topology optimization of electric motor that concurrently handles rotor motion and density filtering on a static finite element mesh. The approach employs a projection operator to map the rotor design onto rotated configurations of the background mesh, thereby eliminating the need for mesh warping, remeshing, or sliding interfaces typically required for simulating rotor motion. The projection further ensures consistent density filtering across all rotation angles. The method’s details and implementation are discussed. As a concrete example, we apply this method to a representative synchronous reluctance motor (SynRM) rotor topology optimization problem. A multi-stage optimization strategy is used to handle the nonlinear constraints, resulting in an efficient high-torque rotor design with maximum torque deviation within 1% of the average torque. The results highlight the effectiveness and computational scalability of the proposed framework for high-fidelity electric motor topology optimization.

IEEE Transactions on Magnetics
Mitsubishi Electric (United States) (US)
Openalex Percentile: Top 73%
Topology Optimization in Engineering
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