{"title":"OPTIMIZATION OF CYLINDRICAL GRINDING PROCESS PARAMETERS OF SS316L AUSTENTIC\nSTAINLESS STEEL BY TAGUCHI METHOD","authors":"S. SankarGanesh, P. Thirumal, M. Anbarasu","doi":"10.37255/jme.v4i1pp052-055","DOIUrl":null,"url":null,"abstract":"The main objective of this study is to optimize the cylindrical grinding parameters that can be utilized to predict optimal grinding parameters to achieve minimum surface roughness of a material. A SS 317L Austentic steel round rod of 80 mm x 168 mm was considered for cylindrical grinding in this study. Cutting speed, depth of cut and feed rate were chosen as input variables while Surface roughness (Ra) selected as output response. An L9 orthogonal array was selected for this study and S/N ratios were analyzed to study the surface roughness characteristics. Nine experiments were conducted in the surface grinding machine with different values of input parameters obtained from the orthogonal array. The surface roughness values were optimized in the optimization software (Minitab version 17) and the optimal solution was obtained for minimum response. Minimum surface roughness is achieved with 100 rpm cutting speed, 0.03 mm depth of cut and 1 mm/s feed rate. The confirmation experiments were conducted for the optimal solution obtained from Taguchi experiment and the results are verified.","PeriodicalId":38895,"journal":{"name":"Academic Journal of Manufacturing Engineering","volume":"21 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Academic Journal of Manufacturing Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.37255/jme.v4i1pp052-055","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: 0
Abstract
The main objective of this study is to optimize the cylindrical grinding parameters that can be utilized to predict optimal grinding parameters to achieve minimum surface roughness of a material. A SS 317L Austentic steel round rod of 80 mm x 168 mm was considered for cylindrical grinding in this study. Cutting speed, depth of cut and feed rate were chosen as input variables while Surface roughness (Ra) selected as output response. An L9 orthogonal array was selected for this study and S/N ratios were analyzed to study the surface roughness characteristics. Nine experiments were conducted in the surface grinding machine with different values of input parameters obtained from the orthogonal array. The surface roughness values were optimized in the optimization software (Minitab version 17) and the optimal solution was obtained for minimum response. Minimum surface roughness is achieved with 100 rpm cutting speed, 0.03 mm depth of cut and 1 mm/s feed rate. The confirmation experiments were conducted for the optimal solution obtained from Taguchi experiment and the results are verified.
本研究的主要目的是优化外圆磨削参数,利用该参数可以预测最佳磨削参数,以实现材料的最小表面粗糙度。本研究采用80 mm × 168 mm的SS 317L奥氏体钢圆棒进行外圆磨削。选择切削速度、切削深度和进给速度作为输入变量,选择表面粗糙度(Ra)作为输出响应。本研究采用L9正交阵列,通过信噪比分析研究表面粗糙度特征。在平面磨床上,利用正交阵列得到的不同输入参数值,进行了9次实验。在Minitab version 17优化软件中对表面粗糙度值进行优化,得到响应最小的最优解。最小的表面粗糙度达到100转/分钟的切割速度,0.03毫米的切割深度和1毫米/秒的进给速度。对田口实验得到的最优解进行了验证实验,并对结果进行了验证。