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软磁复合材料永磁电机的6σ稳健多学科设计优化方法
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  • 英文篇名:6σ Robust Multidisciplinary Design Optimization Method for Permanent Magnet Motorσwith Soft Magnetic Composite Cores
  • 作者:王韶鹏 ; 刘成成 ; 汪友华 ; 雷刚 ; 朱建国
  • 英文作者:Wang Shaopeng;Liu Chengcheng;Wang Youhua;Lei Gang;Zhu Jianguo;National Key Laboratory of Reliability and Intelligence of Electrical Equipment Hebei University of Technology;School of Electrical, Mechanical and Mechatronic Systems Sydney University of Technology;
  • 关键词:6σ稳健设计 ; 多学科设计优化 ; 软磁复合材料 ; 横向磁通电机 ; priging模型
  • 英文关键词:Six Sigma robust design;;multidisciplinary design optimization;;soft magnetic composite;;transverse flux machine;;Kriging model
  • 中文刊名:DGJS
  • 英文刊名:Transactions of China Electrotechnical Society
  • 机构:河北工业大学省部共建电工装备可靠性与智能化国家重点实验室;悉尼科技大学电气机械及机电一体化学院;
  • 出版日期:2019-02-25
  • 出版单位:电工技术学报
  • 年:2019
  • 期:v.34
  • 基金:河北省高等学校青年拔尖人才计划(BJ2018037);; 国家自然科学基金重点项目(51377042);; 河北省科技计划(16214528)资助项目
  • 语种:中文;
  • 页:DGJS201904001
  • 页数:9
  • CN:04
  • ISSN:11-2188/TM
  • 分类号:5-13
摘要
软磁复合材料作为一种新型软磁材料,因其独特的电磁特性被大量地应用于永磁电机的设计和研制中。这种材料三维各向同性,涡流损耗小,且可以直接模压成所需要的结构和形状,从而非常适合于复杂结构的电机设计,如横向磁通电机和爪极电机。为了提高这种电机的工业应用范围,需要展开以下两方面的研究工作:一是多学科设计和优化,主要涉及电磁分析和温度场分析;二是稳健设计和优化,主要考虑的是工程制造过程中的制造误差等因素对电机性能的影响。本文将研究基于多学科设计框架下的软磁复合材料永磁电机的6σ稳健设计优化方法。研究结果显示:新提出的方法能充分地考虑电机的性能参数,如功率和材料价格,同时又能满足温度场的设计要求。相对于传统的确定性设计优化方法,该方法能显著地提升电机的性能和可靠性,为其大规模工业生产和应用打下坚实的基础。
        Soft magnetic composite(SMC) is a new kind of magnetic material, which has been widely used in the design of permanent magnet machines due to its unique electromagnetic characteristic. The cores made by SMC are isotropic magnetically and mechanically with lower eddy current loss, and can be manufactured by molded technology. Therefore, this material is promising for the design of motors with complex structure, such as transverse flux machine and claw pole motor. To improve the application of the motors made by SMC, two main research topics need to be investigated.The first one is the multidisciplinary design optimization, which mainly includes the electromagnetic analysis and thermal analysis. The second one is the robust design optimization, which mainly investigates the manufacturing precision/tolerances in the engineering manufacturing process and their effects on motor's performance. The main aim of this work is to present a Six Sigma(6σ) robust designoptimization method for SMC motors under the framework of multidisciplinary design optimization.From the discussion, it can be found that the proposed method can improve the motor's performance while keeping the requirements in term of temperature rise conditions. Compared with traditional deterministic design approach, the new method can improve the reliability of the designed motor significantly, which will benefit the batch production of SMC motors in industry.
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