Research on Optimal Design of Ultra-High-Speed Motors Based on Multi-Physical Field Coupling Under Mechanical Boundary Constraints
This study investigates the impact of rotor structure, material selection, and cooling methods on ultra-high-speed motor performance, revealing performance variation laws under multi-physical field coupling. Considering mechanical boundary constraints, we propose an optimization design method based...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-11-01
|
| Series: | Machines |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2075-1702/12/11/821 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850068709153964032 |
|---|---|
| author | Jianguo Bu Xudong Lan Weifeng Zhang Yan Yu Hailong Pang Wei Lei |
| author_facet | Jianguo Bu Xudong Lan Weifeng Zhang Yan Yu Hailong Pang Wei Lei |
| author_sort | Jianguo Bu |
| collection | DOAJ |
| description | This study investigates the impact of rotor structure, material selection, and cooling methods on ultra-high-speed motor performance, revealing performance variation laws under multi-physical field coupling. Considering mechanical boundary constraints, we propose an optimization design method based on a multi-physical field coupling model. Using a MaxPro experimental design, initial samples are obtained and fitted using a Kriging surrogate model. The NSGA-2 algorithm is then applied for optimization, with Relative Maximum Absolute Error (RMAE) and Relative Average Absolute Error (RAAE) employed for accuracy evaluation. The Kriging model is iteratively updated based on evaluation results until the optimal design is achieved. This method enhances motor performance, ensures mechanical boundary conditions, and reduces computational load. Experimental results show significant improvements in efficiency and power density. This study provides theoretical support and technical guidance for ultra-high-speed motor design and offers new ideas for related motor research and development. Future work will explore more efficient and intelligent optimization algorithms to continuously advance ultra-high-speed motor technology. |
| format | Article |
| id | doaj-art-aabe22aca0f04482992180bafa9d761a |
| institution | DOAJ |
| issn | 2075-1702 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Machines |
| spelling | doaj-art-aabe22aca0f04482992180bafa9d761a2025-08-20T02:47:59ZengMDPI AGMachines2075-17022024-11-01121182110.3390/machines12110821Research on Optimal Design of Ultra-High-Speed Motors Based on Multi-Physical Field Coupling Under Mechanical Boundary ConstraintsJianguo Bu0Xudong Lan1Weifeng Zhang2Yan Yu3Hailong Pang4Wei Lei5Department of Military Vehicle Engineering, Army Military Transportation University, Tianjin 300161, ChinaSchool of Aerospace Engineering, Tsinghua University, Beijing 100084, ChinaDepartment of Military Vehicle Engineering, Army Military Transportation University, Tianjin 300161, ChinaDepartment of Military Vehicle Engineering, Army Military Transportation University, Tianjin 300161, ChinaDepartment of Military Vehicle Engineering, Army Military Transportation University, Tianjin 300161, ChinaDepartment of Military Vehicle Engineering, Army Military Transportation University, Tianjin 300161, ChinaThis study investigates the impact of rotor structure, material selection, and cooling methods on ultra-high-speed motor performance, revealing performance variation laws under multi-physical field coupling. Considering mechanical boundary constraints, we propose an optimization design method based on a multi-physical field coupling model. Using a MaxPro experimental design, initial samples are obtained and fitted using a Kriging surrogate model. The NSGA-2 algorithm is then applied for optimization, with Relative Maximum Absolute Error (RMAE) and Relative Average Absolute Error (RAAE) employed for accuracy evaluation. The Kriging model is iteratively updated based on evaluation results until the optimal design is achieved. This method enhances motor performance, ensures mechanical boundary conditions, and reduces computational load. Experimental results show significant improvements in efficiency and power density. This study provides theoretical support and technical guidance for ultra-high-speed motor design and offers new ideas for related motor research and development. Future work will explore more efficient and intelligent optimization algorithms to continuously advance ultra-high-speed motor technology.https://www.mdpi.com/2075-1702/12/11/821ultra-high-speed motorsmulti-physical fieldoptimal designNSGA-2Kriging surrogate modelMaxpro experimental design |
| spellingShingle | Jianguo Bu Xudong Lan Weifeng Zhang Yan Yu Hailong Pang Wei Lei Research on Optimal Design of Ultra-High-Speed Motors Based on Multi-Physical Field Coupling Under Mechanical Boundary Constraints Machines ultra-high-speed motors multi-physical field optimal design NSGA-2 Kriging surrogate model Maxpro experimental design |
| title | Research on Optimal Design of Ultra-High-Speed Motors Based on Multi-Physical Field Coupling Under Mechanical Boundary Constraints |
| title_full | Research on Optimal Design of Ultra-High-Speed Motors Based on Multi-Physical Field Coupling Under Mechanical Boundary Constraints |
| title_fullStr | Research on Optimal Design of Ultra-High-Speed Motors Based on Multi-Physical Field Coupling Under Mechanical Boundary Constraints |
| title_full_unstemmed | Research on Optimal Design of Ultra-High-Speed Motors Based on Multi-Physical Field Coupling Under Mechanical Boundary Constraints |
| title_short | Research on Optimal Design of Ultra-High-Speed Motors Based on Multi-Physical Field Coupling Under Mechanical Boundary Constraints |
| title_sort | research on optimal design of ultra high speed motors based on multi physical field coupling under mechanical boundary constraints |
| topic | ultra-high-speed motors multi-physical field optimal design NSGA-2 Kriging surrogate model Maxpro experimental design |
| url | https://www.mdpi.com/2075-1702/12/11/821 |
| work_keys_str_mv | AT jianguobu researchonoptimaldesignofultrahighspeedmotorsbasedonmultiphysicalfieldcouplingundermechanicalboundaryconstraints AT xudonglan researchonoptimaldesignofultrahighspeedmotorsbasedonmultiphysicalfieldcouplingundermechanicalboundaryconstraints AT weifengzhang researchonoptimaldesignofultrahighspeedmotorsbasedonmultiphysicalfieldcouplingundermechanicalboundaryconstraints AT yanyu researchonoptimaldesignofultrahighspeedmotorsbasedonmultiphysicalfieldcouplingundermechanicalboundaryconstraints AT hailongpang researchonoptimaldesignofultrahighspeedmotorsbasedonmultiphysicalfieldcouplingundermechanicalboundaryconstraints AT weilei researchonoptimaldesignofultrahighspeedmotorsbasedonmultiphysicalfieldcouplingundermechanicalboundaryconstraints |