Design Optimization of an Axial Flux Magnetic Gear by Using Reluctance Network Modeling and Genetic Algorithm

The use of a suitable modeling technique for the optimized design of a magnetic gear is essential to simulate its electromagnetic behavior and to predict its satisfactory performance. This paper presents the design optimization of an axial flux magnetic gear (AFMG) using a two-dimensional (2D) magne...

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Autores principales:	Gerardo Ruiz-Ponce, Marco A. Arjona, Concepcion Hernandez, Rafael Escarela-Perez
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	MDPI AG 2023-02-01
Colección:	Energies
Materias:	axial flux magnetic gear magnetic equivalent circuit reluctance network finite element analysis multi-objective optimization genetic algorithm
Acceso en línea:	https://www.mdpi.com/1996-1073/16/4/1852
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