Modeling And Analysis Of Electrical Discharge Michining Process Parameters Using Fuzzy Logic

Abstract

Electrical Discharge machining (EDM) is a non-traditional machining process where intricate and complex shapes can be machined. Only electrically conductive material can be machined by this process and is one of the important machining processes for machining high strength alloys. For achieving the best performance of the EDM process, it is crucial to carry out parametric design responses such as material removal rate, tool wear rate, and surface roughness. For the work piece material is conducted by taking three levels of the peak Current, Pulse on time and Pulse off time and Voltage on Hastelloy C-276 by using electrode as copper material. It is essential to consider number of input parameters such as current, voltage, Pulse on time, Pulse of time etc., to get the better result of responses.

In this paper Fuzzy Logic technique, Modeling of experiments, analysis of variance is used to select the parameters of experimentation for EDM process of very hard and tough materials such as Hastelloy C-276. This is not possible to machine by the conventional machining process planning of experiments is based on a Box Behnkine Design and analysis of variance to determine an optimal setting. The process parameters include four control factors those are current, pulse on time, pulse off time, Voltage. The performance parameters are MRR, TWR and SR are selected as the evaluation criteria in this study.

This study investigates the model of EDM process is developed by using Fuzzy logic, which can be used to predict the process parameters. The datasets used in modeling study will be taken from experimental study. According to the results of estimating the parameters of all models will be compared in terms of statistical performance.