Parameter optimization design of reducer gears based on differential evolution algorithm

According to Shanghai road driving cycle, a light-weight design model for gear in driving deceleration system with finite life is developed, in consideration of random continuous loading characteristics and low amplitude load strengthening effect on 20CrMnMo steel. Based on linear damage theory, dev...

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Main Authors: MA YuFeng, NING Xin, ZHENG YanLing, ZHAO BingHao
Format: Article
Language:zho
Published: Editorial Office of Journal of Mechanical Strength 2024-06-01
Series:Jixie qiangdu
Online Access:http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2024.03.017
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author MA YuFeng
NING Xin
ZHENG YanLing
ZHAO BingHao
author_facet MA YuFeng
NING Xin
ZHENG YanLing
ZHAO BingHao
author_sort MA YuFeng
collection DOAJ
description According to Shanghai road driving cycle, a light-weight design model for gear in driving deceleration system with finite life is developed, in consideration of random continuous loading characteristics and low amplitude load strengthening effect on 20CrMnMo steel. Based on linear damage theory, developed load spectrum and continuous load spectrum with low amplitude load strengthening were implemented to calculate fatigue damage. To minimize gear volume, a light-weight optimization model was established with the constraint of fatigue damage, and differential evolution algorithm was then adopted to solve the model. Experimental results show that the designed model can find the optimal gear parameters quickly and accurately, and the best optimized parameters can be obtained when the continuous load spectrum is used and the low amplitude load strengthening effect is taken into consideration. The optimization model designed in this paper has excellent transferability and can be directly migrate to light-weight optimization of other transmission parts.
format Article
id doaj-art-91752d7473d342cf96cdc93dd19d65a4
institution Kabale University
issn 1001-9669
language zho
publishDate 2024-06-01
publisher Editorial Office of Journal of Mechanical Strength
record_format Article
series Jixie qiangdu
spelling doaj-art-91752d7473d342cf96cdc93dd19d65a42025-01-15T02:45:15ZzhoEditorial Office of Journal of Mechanical StrengthJixie qiangdu1001-96692024-06-014665266163929721Parameter optimization design of reducer gears based on differential evolution algorithmMA YuFengNING XinZHENG YanLingZHAO BingHaoAccording to Shanghai road driving cycle, a light-weight design model for gear in driving deceleration system with finite life is developed, in consideration of random continuous loading characteristics and low amplitude load strengthening effect on 20CrMnMo steel. Based on linear damage theory, developed load spectrum and continuous load spectrum with low amplitude load strengthening were implemented to calculate fatigue damage. To minimize gear volume, a light-weight optimization model was established with the constraint of fatigue damage, and differential evolution algorithm was then adopted to solve the model. Experimental results show that the designed model can find the optimal gear parameters quickly and accurately, and the best optimized parameters can be obtained when the continuous load spectrum is used and the low amplitude load strengthening effect is taken into consideration. The optimization model designed in this paper has excellent transferability and can be directly migrate to light-weight optimization of other transmission parts.http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2024.03.017
spellingShingle MA YuFeng
NING Xin
ZHENG YanLing
ZHAO BingHao
Parameter optimization design of reducer gears based on differential evolution algorithm
Jixie qiangdu
title Parameter optimization design of reducer gears based on differential evolution algorithm
title_full Parameter optimization design of reducer gears based on differential evolution algorithm
title_fullStr Parameter optimization design of reducer gears based on differential evolution algorithm
title_full_unstemmed Parameter optimization design of reducer gears based on differential evolution algorithm
title_short Parameter optimization design of reducer gears based on differential evolution algorithm
title_sort parameter optimization design of reducer gears based on differential evolution algorithm
url http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2024.03.017
work_keys_str_mv AT mayufeng parameteroptimizationdesignofreducergearsbasedondifferentialevolutionalgorithm
AT ningxin parameteroptimizationdesignofreducergearsbasedondifferentialevolutionalgorithm
AT zhengyanling parameteroptimizationdesignofreducergearsbasedondifferentialevolutionalgorithm
AT zhaobinghao parameteroptimizationdesignofreducergearsbasedondifferentialevolutionalgorithm