Optimization Design of Part Tolerance of RV Reducer based on Genetic Algorithm

The backlash is one of the important technical indicators of the RV reducer, and there are many design parameters that affect the backlash. Based on the mathematical model between the part processing feature tolerance and cost, the minimum part processing cost is taken as the target, the allowable b...

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Main Authors: Xie Xiongwei, Xu Honghai, Guan Tong
Format: Article
Language:zho
Published: Editorial Office of Journal of Mechanical Transmission 2020-01-01
Series:Jixie chuandong
Subjects:
Online Access:http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2020.03.013
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author Xie Xiongwei
Xu Honghai
Guan Tong
author_facet Xie Xiongwei
Xu Honghai
Guan Tong
author_sort Xie Xiongwei
collection DOAJ
description The backlash is one of the important technical indicators of the RV reducer, and there are many design parameters that affect the backlash. Based on the mathematical model between the part processing feature tolerance and cost, the minimum part processing cost is taken as the target, the allowable backlash(≤1′) and the assembly dimension chain are used as the constraints, and the genetic algorithm is used to optimize the key dimensional tolerances of the RV reducer cycloidal gear, pinwheel, crankshaft and other parts. The CATIA software is used to establish the 3D virtual prototype of the RV reducer considering the limit error of the part size, and the virtual prototype is imported into the Adams software for the simulation of the backlash. The simulation results show that the backlash of the RV reducer is 0.002′~1.07′, which is close to the allowable backlash (≤1′). The correctness of the proposed part tolerance optimization design method is verified, which has important reference value for improving the transmission precision of RV reducer and controlling the processing cost of parts.
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spelling doaj.art-8b3e19ce28104e619e753c8caec5b4052023-05-26T09:55:00ZzhoEditorial Office of Journal of Mechanical TransmissionJixie chuandong1004-25392020-01-0144778331441563Optimization Design of Part Tolerance of RV Reducer based on Genetic AlgorithmXie XiongweiXu HonghaiGuan TongThe backlash is one of the important technical indicators of the RV reducer, and there are many design parameters that affect the backlash. Based on the mathematical model between the part processing feature tolerance and cost, the minimum part processing cost is taken as the target, the allowable backlash(≤1′) and the assembly dimension chain are used as the constraints, and the genetic algorithm is used to optimize the key dimensional tolerances of the RV reducer cycloidal gear, pinwheel, crankshaft and other parts. The CATIA software is used to establish the 3D virtual prototype of the RV reducer considering the limit error of the part size, and the virtual prototype is imported into the Adams software for the simulation of the backlash. The simulation results show that the backlash of the RV reducer is 0.002′~1.07′, which is close to the allowable backlash (≤1′). The correctness of the proposed part tolerance optimization design method is verified, which has important reference value for improving the transmission precision of RV reducer and controlling the processing cost of parts.http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2020.03.013RV reducer
spellingShingle Xie Xiongwei
Xu Honghai
Guan Tong
Optimization Design of Part Tolerance of RV Reducer based on Genetic Algorithm
Jixie chuandong
RV reducer
title Optimization Design of Part Tolerance of RV Reducer based on Genetic Algorithm
title_full Optimization Design of Part Tolerance of RV Reducer based on Genetic Algorithm
title_fullStr Optimization Design of Part Tolerance of RV Reducer based on Genetic Algorithm
title_full_unstemmed Optimization Design of Part Tolerance of RV Reducer based on Genetic Algorithm
title_short Optimization Design of Part Tolerance of RV Reducer based on Genetic Algorithm
title_sort optimization design of part tolerance of rv reducer based on genetic algorithm
topic RV reducer
url http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2020.03.013
work_keys_str_mv AT xiexiongwei optimizationdesignofparttoleranceofrvreducerbasedongeneticalgorithm
AT xuhonghai optimizationdesignofparttoleranceofrvreducerbasedongeneticalgorithm
AT guantong optimizationdesignofparttoleranceofrvreducerbasedongeneticalgorithm