Optimization of Material Removal Rate and Surface Roughness for Micro ECM of Inconel 718 alloy utilizing Grey Relational Technique

Abstract

Abstract Material removal rate (MRR) and surface roughness (SR) are vital factors of microelectrochemical machining (ECM).This machining method is focused on redox reaction. The intensity of machining relies mostly on molecular masses, its current density, the electrolytes and the duration in metal-working. In order to learn the results of MRR and SR on Inconel 718 alloy, tests were performed by considering various criteria employing stainless steel electrodes. Throughout this present context, the optimization is focused on the Taguchi functional grey method. Predictor variables are designed utilizing the Taguchi concept with 3 different process variables, namely electrolyte concentration, feed rate and voltage. In addition to the MRR and surface roughness, the overcut was used as success metrics within that report. The outcome of this study shows that the voltage appears to be the leading variable for the intended performance requirements and also that the optimum values are observed. The confirmatory examination was performed to verify the findings obtained by the grey relational method.