{"title":"Analysis and Optimization for Universal Rolling Process of Steel Rail Based on Main Composite","authors":"Xingqiang Tan, Benwen Zhang","doi":"10.1109/MLISE54096.2021.00095","DOIUrl":null,"url":null,"abstract":"In this paper, process characteristics and model of universal rail rolled was studied. On basis of its' eight major process parameters, three-layer C/S architecture was used to collect data of these process in the working field and developing software to analyze these data based on main component analysis method. Five main component process parameters of universal rolling determined, and preference range of these five process parameters was analyzed by T-distribution estimation method. The correctness of these universal rolling parameters on the main component analysis was verified by the result of simulation and practice. In same time the result proves that universal rolling process parameters range can be set and optimized based on above methods, also the influence factors of subjective on parameter settings was avoided. Therefore, these rolling process parameters can be set more reasonable, and the rolled accuracy and quality of steel rail can be improved accordingly.","PeriodicalId":430495,"journal":{"name":"2021 International Conference on Machine Learning and Intelligent Systems Engineering (MLISE)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 International Conference on Machine Learning and Intelligent Systems Engineering (MLISE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MLISE54096.2021.00095","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, process characteristics and model of universal rail rolled was studied. On basis of its' eight major process parameters, three-layer C/S architecture was used to collect data of these process in the working field and developing software to analyze these data based on main component analysis method. Five main component process parameters of universal rolling determined, and preference range of these five process parameters was analyzed by T-distribution estimation method. The correctness of these universal rolling parameters on the main component analysis was verified by the result of simulation and practice. In same time the result proves that universal rolling process parameters range can be set and optimized based on above methods, also the influence factors of subjective on parameter settings was avoided. Therefore, these rolling process parameters can be set more reasonable, and the rolled accuracy and quality of steel rail can be improved accordingly.