Optimization of turning process parameters by using grey-Taguchi

Abstract

The main objective of this study is to improve toughness and hardness of engineering material by changing the machining parameters of turning process. By applying Taguchi method the quality of manufactured goods, and engineering designs are developed by studying variations. In this work, an attempt has been made to solve the correlated multiple criteria optimization problem of turning process by considering three different process parameters viz. cutting-speed, feed and depth of cut.. Grey Relational Analysis has been adopted to convert multiple objectives of the optimization problem into a single objective function, denoted as Grey Relational Grade. The overall Grey Relational Grade has been optimized by using Taguchi method. Analysis of variance (ANOVA) has been conducted for Grey relational grade (GRG) to find the optimal process parameters. Signal to Noise (S/N) Ratio has been found for GRG to find the optimal levels of the process parameters. Finally a conformation test has been made for three different materials and the results have been plotted.

Keywords: Turning, Optimization, Grey-Taguchi and ANOVA