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Structural optimization of magnetic flux concentrator based on particle swarm optimization algorithm 认领 引用
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作者 Yu-Xiao Wang Shi-Yu Guan +3 位作者 Yi Zhang Qi-Yuan Jiang Bing-Feng Sun Zhong-Qi Tan 《Chinese Physics B》 SCIE EI CAS CSCD 2026年第4期373-383,共11页
This study introduces a structural optimization method for magnetic flux concentrators(MFCs)utilizing the particle swarm optimization(PSO)algorithm,addressing inefficiencies and challenges in achieving optimal structu... This study introduces a structural optimization method for magnetic flux concentrators(MFCs)utilizing the particle swarm optimization(PSO)algorithm,addressing inefficiencies and challenges in achieving optimal structures with traditional methods.By integrating the PSO algorithm with COMSOL Multiphysics simulation software,a co-simulation framework is developed to optimize the parameters of a conical MFC.Compared with traditional methods,this approach enhances optimization results by twofold,achieving a magnetic field amplification factor of up to 200 within the defined parameter range.Additionally,an evaluation criterion for concentrator optimization is proposed,offering novel insights for designing concentrators across various scenarios. 展开更多
关键词 magnetic flux concentrator magnetic sensing enhancement particle swarm optimization
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