Application of Fuzzy Logic and TOPSIS in the
Taguchi Method for Multi-Response Optimization in Electrical Discharge Machining (EDM)

Abstract

Recently optimization of multi-response problems is a most focusing area of research. This study highlights application of fuzzy logic and TOPSIS in the Taguchi method to optimize a multi-response problem on Electrical Discharge Machining (EDM). In many manufacturing/production contexts, it is still necessary to rely on the engineering judgment to optimize the multi-response problem; therefore uncertainty seems to be increased during the decision-making process. Therefore, development of efficient multi-response optimization philosophies is indeed required. In this work, the experiment has been carried out by using 304L grade stainless steel as a work material and a copper as a tool electrode in EDM. Conversely, optimal process parameter setting has been selected successfully based on requirements of quality as well as productivity. A case study has been reported towards optimizing material removal rate (MRR) and roughness average of the EDM machined product in order to make a compromise balance between quality and productivity.