Open AccessOptimization of Material Removal Rate and Surface Roughness for Micro ECM of Inconel 718 alloy utilizing Grey Relational Technique
Author(s) -
S. Madhankumar,
S. Rajesh,
R. Balamurugan,
N. Tharun Sri Ram,
S. Venuprasath,
S. Tazmeel Ahamed
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1059/1/012008
Subject(s) - inconel , grey relational analysis , taguchi methods , materials science , machining , surface roughness , superalloy , context (archaeology) , horizontal scan rate , voltage , electrolyte , alloy , surface finish , mechanical engineering , metallurgy , electrical discharge machining , electrode , composite material , electrochemistry , cyclic voltammetry , engineering , mathematics , biology , mathematical economics , paleontology , chemistry , electrical engineering
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.