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

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.