Performance Analysis of Wire Electric Discharge Machining on D-3 Die Material by Artificial Neural Network

Abstract

Demand in present industries which specialize in cutting complex shapes and geometries of conductive metals of any hardness that are difficult or impossible to cut with traditional machining process. WEDM is one of the most commonly used machining which is employed in machining of conductive hard metals. The literature survey has revealed that very lass work has been done in order to achieve optimal level of process parameters for D3 die material using coated wire electrode. This material has been selected keeping in view their application and machined using Electronica maxi cute. The main objective of the present work is to investigate the effect of different process parameters viz. pulse on time, pulse off time , spark voltage , peak current on the response parameters such as surface roughness and MRR using coated wire electrode (0.25 mm diameter). The taguchi design methodology is chosen for design of experiment and L18 orthogonal array are selected for present work. Estimation and comparision of response was done by using Artificial Nural Network (ANN).