Proposta de metodologia para otimização de dispositivos magnéticos por método híbrido aplicando elementos finitos e algoritmos genéticos

Abstract

This work proposes a methodology for optimizing magnetic devices, focusing on the construction of EI inductors. The developed approach integrates the finite element method with genetic algorithms, using FEMM software and the Lua programming language. The main objective is to minimize the material volume, the number of coil turns, and the air gap distance, in order to generate more efficient devices with lower production costs. The results demonstrate the effectiveness of the proposed methodology, demonstrating its applicability in determining the ideal proportions for inductor designs.