{"title":"Tolerance optimization design of RV reducer's cycloid-pin gear pair considering multiple targets","authors":"Shuting Chen, W. Su","doi":"10.1117/12.2668420","DOIUrl":null,"url":null,"abstract":"In this paper, a multi-objective optimization model for the processing cost, quality loss and tolerance cost sensitivity of RV reducer’s cycloid-pin gear pair is constructed. The tolerance range is constrained based on the accuracy requirement and the actual machining capacity, and the design requirements of the gear pair clearance and allowable backlash are considered comprehensively. The tolerance optimization design of cycloid-pin gear pair is carried out by using NSGA-Ⅱ algorithm. The effectiveness and feasibility of tolerance optimization design are verified by comparing and analyzing the results before and after optimization.","PeriodicalId":259102,"journal":{"name":"Optical Technology, Semiconductor Materials, and Devices","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Optical Technology, Semiconductor Materials, and Devices","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1117/12.2668420","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In this paper, a multi-objective optimization model for the processing cost, quality loss and tolerance cost sensitivity of RV reducer’s cycloid-pin gear pair is constructed. The tolerance range is constrained based on the accuracy requirement and the actual machining capacity, and the design requirements of the gear pair clearance and allowable backlash are considered comprehensively. The tolerance optimization design of cycloid-pin gear pair is carried out by using NSGA-Ⅱ algorithm. The effectiveness and feasibility of tolerance optimization design are verified by comparing and analyzing the results before and after optimization.