Multi-Objective Optimization of EDM Process on AISI P-20 Tool Steel Using Multi-Criteria Decision-Making Technique

Abstract

The optimization technique is introduced to overcome the problem. Here the author introduces multi-criteria decision-making technique to get the optimization value. Electrical discharge machining (EDM) in nontraditional machining process is applied for machining complicated or intricate geometries on raw materials. The present work attempts to optimize several responses of machining operation using multi-criteria decision making (MCDM) by employing different machining parameters like current, voltage, pulse. The Taguchi L9 orthogonal experimental design is followed during electrical discharge machining of AISI P20 tool steel. Four responses, namely metal removal rate, tool life, surface roughness, and over cut, are considered for optimization. The present work is aimed at multi-response optimization (i.e., higher MRR, higher tool life, lower surface roughness, and minimum overcut), which is conducted using MCDM technique.

Prediction and Multiparametric Optimization of the Machined Surface Quality of Tool Steels in Precise Wire Electrical Discharge Machining

“…The extensive experimental research carried out, as described in the works of several authors [30][31][32][33][34], demonstrates that there is a wide range of input parameters for the electrical discharge process, which significantly affect the output qualitative parameters of machined surfaces in addition to the quantitative performance parameters of the process. Therefore, researchers [35][36][37][38][39][40][41][42], who solved the problem of multi-objective optimization of various Non-Traditional Machining processes (NTM) using an a priori approach, provided a different perspective on the issue. In the a priori approach, the multi-objective optimization problem is transformed into a single-objective optimization problem by assigning an appropriate priority weight to each objective.…”