MOTOR TOLERANCE OPTIMIZATION DESIGN BASED ON IMPROVED GENETIC ALGORITHM

In order to improve the assembly quality of the motor and reduce the total cost,it is necessary to optimize the design of the tolerances of the key components that form the air gap between the motor stator and the rotor. A multi-objective and multi-constrained mathematical model for radial tolerance...

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Main Authors: ZHANG YongLiang, CHEN Xu, YAO JiaSheng, ZHANG ShuaiShuai
Format: Article
Language:zho
Published: Editorial Office of Journal of Mechanical Strength 2021-01-01
Series:Jixie qiangdu
Subjects:
Online Access:http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2021.03.015
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author ZHANG YongLiang
CHEN Xu
YAO JiaSheng
ZHANG ShuaiShuai
author_facet ZHANG YongLiang
CHEN Xu
YAO JiaSheng
ZHANG ShuaiShuai
author_sort ZHANG YongLiang
collection DOAJ
description In order to improve the assembly quality of the motor and reduce the total cost,it is necessary to optimize the design of the tolerances of the key components that form the air gap between the motor stator and the rotor. A multi-objective and multi-constrained mathematical model for radial tolerance optimization of a motor assembly was established with processing cost and mass loss cost as objective functions,tolerance values of key components as design variables,and assembly functions and economic processing capabilities as constraints. The model was solved based on the improved genetic algorithm,and the key component tolerances under the lowest total were obtained. Through CETOL 6σ simulation verification,the results show that the passing rate of motor assembly is increased by about 55. 7%,and the total cost is reduced by about 45. 2% with the optimized design tolerance.
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spelling doaj.art-85c210fe78064e21a5a537b60ee36ed72025-01-15T02:26:06ZzhoEditorial Office of Journal of Mechanical StrengthJixie qiangdu1001-96692021-01-014360861430611033MOTOR TOLERANCE OPTIMIZATION DESIGN BASED ON IMPROVED GENETIC ALGORITHMZHANG YongLiangCHEN XuYAO JiaShengZHANG ShuaiShuaiIn order to improve the assembly quality of the motor and reduce the total cost,it is necessary to optimize the design of the tolerances of the key components that form the air gap between the motor stator and the rotor. A multi-objective and multi-constrained mathematical model for radial tolerance optimization of a motor assembly was established with processing cost and mass loss cost as objective functions,tolerance values of key components as design variables,and assembly functions and economic processing capabilities as constraints. The model was solved based on the improved genetic algorithm,and the key component tolerances under the lowest total were obtained. Through CETOL 6σ simulation verification,the results show that the passing rate of motor assembly is increased by about 55. 7%,and the total cost is reduced by about 45. 2% with the optimized design tolerance.http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2021.03.015ToleranceMulti-objective optimizationGenetic algorithmMotor assemblyOptimization model
spellingShingle ZHANG YongLiang
CHEN Xu
YAO JiaSheng
ZHANG ShuaiShuai
MOTOR TOLERANCE OPTIMIZATION DESIGN BASED ON IMPROVED GENETIC ALGORITHM
Jixie qiangdu
Tolerance
Multi-objective optimization
Genetic algorithm
Motor assembly
Optimization model
title MOTOR TOLERANCE OPTIMIZATION DESIGN BASED ON IMPROVED GENETIC ALGORITHM
title_full MOTOR TOLERANCE OPTIMIZATION DESIGN BASED ON IMPROVED GENETIC ALGORITHM
title_fullStr MOTOR TOLERANCE OPTIMIZATION DESIGN BASED ON IMPROVED GENETIC ALGORITHM
title_full_unstemmed MOTOR TOLERANCE OPTIMIZATION DESIGN BASED ON IMPROVED GENETIC ALGORITHM
title_short MOTOR TOLERANCE OPTIMIZATION DESIGN BASED ON IMPROVED GENETIC ALGORITHM
title_sort motor tolerance optimization design based on improved genetic algorithm
topic Tolerance
Multi-objective optimization
Genetic algorithm
Motor assembly
Optimization model
url http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2021.03.015
work_keys_str_mv AT zhangyongliang motortoleranceoptimizationdesignbasedonimprovedgeneticalgorithm
AT chenxu motortoleranceoptimizationdesignbasedonimprovedgeneticalgorithm
AT yaojiasheng motortoleranceoptimizationdesignbasedonimprovedgeneticalgorithm
AT zhangshuaishuai motortoleranceoptimizationdesignbasedonimprovedgeneticalgorithm