Application of MABAC, MOORA, MAIRCA and Entropy Methods in Multi-Criteria Decision Making for EDM of 90CrSi Using Graphite Electrodes

This paper reports the findings of a study aimed at optimizing the electrical discharge machining (EDM) process for cylindrical surface parts composed of 90CrSi using graphite electrodes. This study's innovation is in determining the best EDM parameters for cutting cylindrical surfaces using three types of graphite electrodes: HK0, HK15, and HK20. Prior studies on EDM with graphite electrodes have exclusively focused on the machining of hollow, concave components, including die cavities, molds, or holes. In this work, three multi-criteria decision-making (MCDM) methods have been used for accomplishing this: Multi-Attributive Border Approximation Area Comparison (MABAC), MultiObjective Optimization on the Basis of Ratio Analysis (MOORA), and Multi-Attributive Ideal-Real Comparative Analysis (MAIRCA). Furthermore, the Entropy method was employed to figure out the weight of evaluation criteria. The research focused on three principal targets: surface roughness (SR), electrode wear rate (EWR), and material removal rate (MRR). Additionally, five process variables have been investigated: servo voltage (SV), pulse current (IP), pulse-on duration (Ton), pulse-off duration (Toff), and type of graphite (TOG). The Taguchi technique employing an L18 (61 + 34 ) experimental design, in conjunction with Minitab R19 software, was implemented for experimental planning and result analysis. The results successfully handled the MCDM issue and suggested best input settings for the EDM process, enhancing machining performance for cylindrical surfaces using graphite electrodes.