Multi-Response Optimization of Turning Parameters onVanadium Micro alloyed Steel using Taguchi based Grey Relational Analysis Coupled with Principal Component Analysis

Abstract

An experimental investigation of MAS38MnSiVS5 to investigate the effects of machining parameters, a turning test was designed using L27 orthogonal array (OA) and machining was performed on the cylindrical bars using medium duty lathe of 7 kW spindle speed. The power consumption and surface roughness were measured. Grey Relational Analysis have been used for normalized the multi objective responsesWeighting values were evaluated by Principal Component Analysis (PCA) for each performance variables. The variability caused by the input parameters was apportioned using Analysis of Variance (ANOVA). Thus, the Taguchi method (TM) based GRA coupled with PCA was specifically adopted to determine the optimal combination of turning parameters. The confirmation experiment shows an average improved power consumed of 62.8 % and surface roughness of 65.4 %.