Multi-Response Optimization of Electrical Process Parameters on Machining Characteristics in Electrical Discharge Machining Using Taguchi-Data Envelopment Analysis-Based Ranking Methodology

Abstract

Since electrical process parameters are determining the machining characteristics of electrical discharge machining (EDM), it is important to find the optimum values of those parameters and contribution of each parameter. As the process involves more than one response parameter, it is needed to implement the multi-response optimization methodology. AISI 202 stainless steel was selected as work piece material, whereas copper, brass, and tungsten carbide were selected as tool materials. The experiments were conducted with different levels of input factors such as gap voltage, discharge current, and duty factor based on L9 orthogonal table. The purpose of this study is to investigate the contribution of electrical process parameters on machining characteristics and optimal combination of those parameters using Taguchi-data envelopment analysis-based ranking method. From the results, it is revealed that electrical parameters have significant role in EDM process and the optimal values have been found using proposed multi-response methodology.