LAPSE:2023.11607
Published Article
LAPSE:2023.11607
Optimization of Magnetic Gear Patterns Based on Taguchi Method Combined with Genetic Algorithm
Yuan Mao, Yun Yang
February 27, 2023
Abstract
Magnetic gears (MGs) have gained increasing attention due to their sound performance in high torque density and low friction loss. Aiming to maximize the torque density, topology design has been a popular issue in recent years. However, studies on the optimization comparisons of a general MG topology pattern are very limited. This paper proposes a Taguchi-method-based optimization method for a general MG topology pattern, which can cover most of the common types of radially magnetized concentric-surface-mounted MGs (RMCSM-MGs). The Taguchi method is introduced to evaluate the influence of each parameter in MGs. Moreover, the parameter value range is re-examined based on the sensitivity analysis results. The genetic algorithm (GA) method is adopted to optimize the topology pattern in the study.
Keywords
finite element method, Genetic Algorithm, magnetic gear, Taguchi method
Suggested Citation
Mao Y, Yang Y. Optimization of Magnetic Gear Patterns Based on Taguchi Method Combined with Genetic Algorithm. (2023). LAPSE:2023.11607
Author Affiliations
Mao Y: College of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, China
Yang Y: Department of Electrical Engineering, The Hong Kong Polytechnic University, Hong Kong, China
Journal Name
Energies
Volume
15
Issue
14
First Page
4963
Year
2022
Publication Date
2022-07-06
ISSN
1996-1073
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Original Submission
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PII: en15144963, Publication Type: Journal Article
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LAPSE:2023.11607
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https://doi.org/10.3390/en15144963
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