{"title":"Uncertainty and Sensitivity Analysis of Surface Quality in Machining of AISI 4140 Alloy Steels","authors":"N. Mandal, Shuvajit Ghosh","doi":"10.52783/tjjpt.v44.i5.2755","DOIUrl":null,"url":null,"abstract":"Uncertainty is the likelihood that a quantity will statistically deviate from the desired value. Though quality of a machined surface are attributed by many parameters, in this investigation, three surface textures namely,are considered to measure the uncertainties in quality of a surface during machining of AISI 4140 Alloy Steel. First, these three surface textures are modeled using RSM with speed, feed, and depth of cut as input parameters and thereafter uncertainties and sensitivities are measured. It is observed that the uncertaintie of the model, is 0.0440, 0.2567, and 0.2568 respectively using the Monte Carlo Simulation. Principal contributors in uncertainty and sensitivity for, are feed, depth of cut, and depth of cut respectively.","PeriodicalId":39883,"journal":{"name":"推进技术","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"推进技术","FirstCategoryId":"1087","ListUrlMain":"https://doi.org/10.52783/tjjpt.v44.i5.2755","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Engineering","Score":null,"Total":0}
引用次数: 0
Abstract
Uncertainty is the likelihood that a quantity will statistically deviate from the desired value. Though quality of a machined surface are attributed by many parameters, in this investigation, three surface textures namely,are considered to measure the uncertainties in quality of a surface during machining of AISI 4140 Alloy Steel. First, these three surface textures are modeled using RSM with speed, feed, and depth of cut as input parameters and thereafter uncertainties and sensitivities are measured. It is observed that the uncertaintie of the model, is 0.0440, 0.2567, and 0.2568 respectively using the Monte Carlo Simulation. Principal contributors in uncertainty and sensitivity for, are feed, depth of cut, and depth of cut respectively.