Investigation and Fuzzy Based Modeling of Micro-edm Process during Machining of Micro-hole in D3 Die Steel Material Employing De-ionized Water

The correct selection of process parameters for manufacturing is one of the most important aspects taken into consideration in the majority of manufacturing processes and particularly, in process related to EDM. The machining characteristics are greatly influenced by the nature of dielectric used during micro-EDM. The present paper investigates the fuzzy logic model for micro-electrical discharge machining process of D3 die steel employing NaNO3 salt mixed de-ionized water as dielectric fluid. Peak current, pulse-on-time and salt concentration were considered as process parameters. L9 orthogonal array was considered as design of experiments. Various performance criteria such as material removal rate (MRR), tool wear rate (TWR), overcut and taper of micro-hole during machining of D3 die steel were measured at various parametric combinations of process parameters. The MATLAB logic tool box is used for modeling the process. Moreover, the regression model has been developed using the toolbox. The experimental, fuzzy predicted and regression predicted results has been compared using various graphical plots and the results were analyzed.