Optimization of Cutting Forces in Dry Turning Process Using Taguchi and Grey Relational Analysis

Abstract

AbstractThis paper deals with the optimisation of numerous criteria problems in the turning process of EN-8 steel by using Taguchi and Grey Relational Analysis. In order to investigate the machining parameters’ performance characteristics like nose radius, cutting speed, depth of cut and feed, considering multiple responses, i.e., tangential force and feed force, an orthogonal array L18, grey relational coefficients, grey relational grade and analysis of variance (ANOVA) are estimated. The study gives the lower magnitude of the feed force and tangential force and also optimal cutting parameters. The experiment achieved an average Grey Relational Grade of 0.70449, and the prediction of GRG for the optimal setting is 0.86235, which proves the improvement in GRG by 0.15787. The largest Grey Relational Grade is for experiment number 4, which gives the optimum parameter setting for the experiment as A1B2C1D1. The main effect plot (Fig. 3) shows the low values for tool nose radius, feed rate and depth of cut resulting in the minimum tangential force, which is 98.066° N and optimised value of the feed force, which is 107.873° N. The response table and response graphs are shown and ANOVA table reveals that significant factors are depth of cut, feed rate and nose radius in affecting the experimentation at 95 percent confidence level.KeywordsOptimizationTurning processEN 8 SteelGrey relational analysisTaguchiANOVA