Version 1
: Received: 24 October 2024 / Approved: 25 October 2024 / Online: 25 October 2024 (11:06:59 CEST)
How to cite:
Bu, J.; Zhang, W.; Yu, Y.; Pang, H.; Lei, W. Research on Optimal Design of Ultra-High-Speed Motors Based on Multi-Physical Field Coupling Under Mechanical Boundary Constraints. Preprints2024, 2024102004. https://doi.org/10.20944/preprints202410.2004.v1
Bu, J.; Zhang, W.; Yu, Y.; Pang, H.; Lei, W. Research on Optimal Design of Ultra-High-Speed Motors Based on Multi-Physical Field Coupling Under Mechanical Boundary Constraints. Preprints 2024, 2024102004. https://doi.org/10.20944/preprints202410.2004.v1
Bu, J.; Zhang, W.; Yu, Y.; Pang, H.; Lei, W. Research on Optimal Design of Ultra-High-Speed Motors Based on Multi-Physical Field Coupling Under Mechanical Boundary Constraints. Preprints2024, 2024102004. https://doi.org/10.20944/preprints202410.2004.v1
APA Style
Bu, J., Zhang, W., Yu, Y., Pang, H., & Lei, W. (2024). Research on Optimal Design of Ultra-High-Speed Motors Based on Multi-Physical Field Coupling Under Mechanical Boundary Constraints. Preprints. https://doi.org/10.20944/preprints202410.2004.v1
Chicago/Turabian Style
Bu, J., Hailong Pang and Wei Lei. 2024 "Research on Optimal Design of Ultra-High-Speed Motors Based on Multi-Physical Field Coupling Under Mechanical Boundary Constraints" Preprints. https://doi.org/10.20944/preprints202410.2004.v1
Abstract
With the rapid development of modern industrial technology, ultra-high-speed motors have demonstrated tremendous application potential in fields such as aerospace, high-speed machining, and micro-mechanical systems due to their high efficiency, high power density, and compact structure. However, the design of ultra-high-speed motors faces numerous challenges, particularly under mechanical boundary constraints, how to balance the interactions among electromagnetic performance, thermodynamic characteristics, mechanical strength, and other multi-physical fields has become a key factor limiting performance enhancement. This study first establishes a multi-physical field coupling model for ultra-high-speed motors, comprehensively considering the mutual influences of electromagnetic fields, temperature fields, and stress fields. Through finite element analysis, precise simulations are conducted on the electromagnetic distribution, heat conduction, mechanical stress, and rotor dynamics characteristics within the motor. Based on this, the impact of various design parameters (such as rotor structure, material selection, and cooling methods) on motor performance is investigated, revealing the variation laws of motor performance under multi-physical field coupling. With mechanical boundary constraints taken into account, this paper proposes an optimization design method for high-speed motors based on a multi-physical field coupling model. Initial samples are obtained through MaxPro experimental design, and a Kriging surrogate model is used for fitting. Subsequently, the NSGA-2 algorithm is employed for optimization design. During the optimization process, RMAE and RAAE are adopted for accuracy evaluation, and the Kriging model is iteratively updated based on the evaluation results until the optimal design of the ultra-high-speed motor is completed. This optimization design method enhances the overall performance of the motor while ensuring its mechanical boundary conditions and reducing the computational load during the optimization process. Experimental results demonstrate that the proposed multi-physical field coupling optimization design method can significantly improve the efficiency and power density of ultra-high-speed motors. This study not only provides theoretical support and technical guidance for the design of ultra-high-speed motors but also offers new ideas and methods for motor research and development in related fields. In the future, more efficient and intelligent optimization design algorithms will be explored to continuously advance ultra-high-speed motor technology.
Engineering, Electrical and Electronic Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
