Prediction of EDM Process Parameters for AISI 1020 Steel using RSM, GRA and ANN
AISI 1020 Steel is hard while machining because of its nature of harness and brittleness. Electrical Discharge Machining (EDM) is a significant technique to machine such materials. Current research examines the pulse current effect (A), discharge voltage (B), pulse on time (C), pulse off time (D),Oil pressure (E)and spark gap(F) on Metal Removal Rate (MRR) and Surface Roughness on EDM of AISI 1020 Steel. Experiments have been carried out in a methodical type taking up nearly 54 successive trails utilizing an EDM machine and a copper electrode of 10mm diameter. Three factors, three levels, Box Bekhen through response surface methodology design was utilized to analyze the outcomes. Gray relational analysis techniques are adopted for finding parameter influencing range for MRR and SR. A multi regression mathematical model was brought up in launching the association between parameters of machining and artificial neural network techniques are used for predicting the optimized parameters.