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

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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Bibliographic Details
Main Authors: Gerardo Ruiz-Ponce, Marco A. Arjona, Concepcion Hernandez, Rafael Escarela-Perez
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Energies
Subjects:
axial flux magnetic gear
magnetic equivalent circuit
reluctance network
finite element analysis
multi-objective optimization
genetic algorithm
Online Access:https://www.mdpi.com/1996-1073/16/4/1852

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https://www.mdpi.com/1996-1073/16/4/1852

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