{"title":"Effect of Cutting Parameters on the Surface Roughness and Roundness Error When Turning the Interrupted Surface of 40X Steel Using HSS-TiN Insert","authors":"D. Trung","doi":"10.18485/aeletters.2022.7.1.1","DOIUrl":null,"url":null,"abstract":": This paper presents a research on investigating the effect of cutting parameters on the surface roughness (R a ) and roundness error (RE) when turning the interrupted surface of 40X steel. The TiN coated high speed steel (HSS-TiN) inserts were used in this research. The cutting parameters include cutting velocity, feed rate, and depth of cut. The Box-Behnken method was applied to develop an experimental matrix with fifteen experiments. The influences of cutting parameters on R a and RE were found using Pareto chart. Two equations that presented the relationship between Ra, RE and cutting parameters were established. These two equations were used to predict R a and RE. Genetic algorithm (GA) was also used to determine the optimal values of cutting parameters to simultaneously ensure the minimum values of R a and RE. The further works of this study was also mentioned in this paper.","PeriodicalId":53430,"journal":{"name":"Applied Engineering Letters","volume":"24 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Engineering Letters","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.18485/aeletters.2022.7.1.1","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Engineering","Score":null,"Total":0}
引用次数: 4
Abstract
: This paper presents a research on investigating the effect of cutting parameters on the surface roughness (R a ) and roundness error (RE) when turning the interrupted surface of 40X steel. The TiN coated high speed steel (HSS-TiN) inserts were used in this research. The cutting parameters include cutting velocity, feed rate, and depth of cut. The Box-Behnken method was applied to develop an experimental matrix with fifteen experiments. The influences of cutting parameters on R a and RE were found using Pareto chart. Two equations that presented the relationship between Ra, RE and cutting parameters were established. These two equations were used to predict R a and RE. Genetic algorithm (GA) was also used to determine the optimal values of cutting parameters to simultaneously ensure the minimum values of R a and RE. The further works of this study was also mentioned in this paper.