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<p>In view of the high efficiency, reliability, and lightweight characteristics of high-speed aviation asynchronous motors, this paper proposes a multi-physics rotor lightweight optimization method that integrates comprehensive sensitivity analysis and a fast non-dominated sorting genetic algorithm (NSGA-II).&#xa0;First, a&#xa0;finite element method (FEM)&#xa0;is established to analyze electromagnetic performance, modal analysis, and stress distribution. Sensitivity analysis is conducted to identify the impact of rotor lightweight design on various physical fields. By analyzing the comprehensive effects of changes in the main lightweight parameters, such as hole shape and size, on the rotor’s performance, key objective factors are identified for multi-objective optimization. A response surface methodology (RSM) is employed to construct performance indicator functions to standardize the optimization process.&#xa0;Using&#xa0;NSGA-II,&#xa0;a pareto optimal solution set is obtained. Based on engineering objectives, an optimized solution is selected, and prototype samples are manufactured for experimental verification.The results demonstrate that the optimized design not only improves the motor’s power density and dynamic characteristics but also significantly reduces the rotor’s mass by 13.2%, thereby verifying the feasibility of the optimization scheme. This method offers a feasible optimization approach for the rotor design of high-speed aviation motor and provides significant engineering application value for enhancing motor performance and reliability.</p>

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Research on lightweight rotor design and multi-physics for high-speed aviation asynchronous motors

  • 期刊论文

  • 发表日期：

    2025年11月27日

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  • Jun Zhu,
  • Longhao Hu,
  • Yifei Li,
  • Haichao Feng,
  • Liwang Ai,
  • Tongliang Liu

摘要

In view of the high efficiency, reliability, and lightweight characteristics of high-speed aviation asynchronous motors, this paper proposes a multi-physics rotor lightweight optimization method that integrates comprehensive sensitivity analysis and a fast non-dominated sorting genetic algorithm (NSGA-II). First, a finite element method (FEM) is established to analyze electromagnetic performance, modal analysis, and stress distribution. Sensitivity analysis is conducted to identify the impact of rotor lightweight design on various physical fields. By analyzing the comprehensive effects of changes in the main lightweight parameters, such as hole shape and size, on the rotor’s performance, key objective factors are identified for multi-objective optimization. A response surface methodology (RSM) is employed to construct performance indicator functions to standardize the optimization process. Using NSGA-II, a pareto optimal solution set is obtained. Based on engineering objectives, an optimized solution is selected, and prototype samples are manufactured for experimental verification.The results demonstrate that the optimized design not only improves the motor’s power density and dynamic characteristics but also significantly reduces the rotor’s mass by 13.2%, thereby verifying the feasibility of the optimization scheme. This method offers a feasible optimization approach for the rotor design of high-speed aviation motor and provides significant engineering application value for enhancing motor performance and reliability.