Estimation of Machining Performances in WEDM of Aluminium based Metal Matrix Composite Material using ANN

Abstract

The present work is to estimate surface roughness, accuracy, volumetric material removal rate and electrode wear based on the machining parameters like pulse-on, pulse-off, current and bed speed. The experimental work consists of machining of aluminum silicon nitride composite material using Wire EDM (WEDM). The experiment will be carried out by varying the machining parameters. Surface roughness, accuracy and electrode wear will be measured using surfcom flex and micrometer. Experimental analysis will be carried out to study the variation of the performance parameters viz., surface roughness, accuracy, volumetric material removal rate and electrode wear for various machining conditions. Then, to estimate the surface roughness, accuracy, volumetric MRR and electrode wear by using sophisticated diagnosing method like Artificial Neural Network (ANN).