Taguchi-grey relational based multi response optimization of electrical process parameters in electrical discharge machining

Abstract

In modern machining process, optimization technique is used to find the optimal values of input parameters and the effect of those parameters on response variables. If response parameters are more than one, Taguchi method of optimization may give different set of optimal levels for each response. In the present study, Taguchi-grey relational approach based multi response optimization has been used to maximize material removal rate and to minimize surface roughness in electrical discharge machining. Electrical process parameters such as gap voltage, peak current and duty factor have been used as input parameters. It has been found that peak current has most influent nature in electrical discharge machining process. Optimal combination of input parameter to acquire better responses has been found with multi response optimization using Taguchi-grey relational analysis.