Topology Optimization Method Based on On-Off Method and Level Set Approach

被引：44
作者：
Hidaka, Yuki [1 ]
Sato, Takahiro [1 ]
Igarashi, Hajime [1 ]
机构：
[1] Hokkaido Univ, Grad Sch Informat Sci & Technol, Sapporo, Hokkaido 0600814, Japan
来源：
IEEE TRANSACTIONS ON MAGNETICS | 2014年 / 50卷 / 02期
关键词：
Genetic algorithms; level set; permanent magnetic motors; shape optimization; SHAPE OPTIMIZATION; PERMANENT-MAGNET; IPM MOTOR; DESIGN; TORQUE;
D O I：
10.1109/TMAG.2013.2285379
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
This paper proposes a two-step method for topology optimization, in which after global search is performed by the on-off method, and then local search is carried out by the level set approach. The genetic and gradient-based algorithms are employed for the former and latter optimizations, respectively. This present method is applied to two numerical examples; topology optimizations of a magnetic shield system and interior permanent magnetic motor. It is shown that this present method can find solutions with better performances in comparison with the conventional on-off method.
引用
收藏
页码：617 / 620
页数：4
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