A review of modeling and simulation techniques in EDM process

Abstract

This paper presents a review of modeling and simulation techniques presented in the literature for Electrical Discharge Machining process parameter optimization and prediction. The techniques covered include statistical prediction models, Machine Learning (ML)-based prediction models, theoretical models, experimental models and thermal-electrical models using FEM developed by researchers. A brief description of the literature including work material, technique, software and their findings are also tabulated to get a quick insight of the work done by the researchers. The salient features of the various techniques are also highlighted for guiding the future research in this area.