Analysis of Powder-Mixed EDM Process Characteristics of Tungsten Carbide alloy by using GRA Technique

Abstract

Abstract: Abrasive electrical discharge machining of tungsten carbide is performed by using a powder of graphite and alumina mixed in working fluid. Taguchi method is used to predict the optimal choice of EDM parameters like current, powder, pulse on time and pulse off time. After experiments, it has been found that adopted parameters significantly affect the response characteristics like metal removal rate and tool wear rate. Taguchi technique with the grey relational analysis was for optimizing machining operations with multi-process parameters. Optimum process parameter is determined with the help of Taguchi technique using grey relational grade as the performance index. Response table is used to optimize the process parameters. Further, an analysis of variance (ANOVA) study is performed to show the significance and percentage contribution of each factor in the study.