Structural optimization of magnetic flux concentrator based on particle swarm optimization algorithm

doi:10.1088/1674-1056/ae0b38

Abstract 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.

Keywords: magnetic flux concentrator magnetic sensing enhancement particle swarm optimization

Received: 04 July 2025
Revised: 05 September 2025
Accepted manuscript online: 25 September 2025

PACS:	07.55.Ge	(Magnetometers for magnetic field measurements)
	02.60.Pn	(Numerical optimization)
	75.50.-y	(Studies of specific magnetic materials)
	87.55.de	(Optimization)

Fund: This work was supported by the Natural Science Foundation of China (Grant No. 62375285) and the Research Project of the National University of Defense Technology (Grant No. 24-ZZCX-XXXX-01-04).

Corresponding Authors: Zhong-Qi Tan
E-mail: zhqitan@sina.com

Cite this article:

Yu-Xiao Wang(王雨潇), Shi-Yu Guan(管世钰), Yi Zhang(张燚), Qi-Yuan Jiang(江奇渊), Bing-Feng Sun(孙兵锋), and Zhong-Qi Tan(谭中奇) Structural optimization of magnetic flux concentrator based on particle swarm optimization algorithm 2026 Chin. Phys. B 35 040701

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