Optimization and Modeling of Micro-Wire Electro Discharge Machining of Titanium Alloy

Micro WEDM is a versatile technique for machining electrically conductive materials to make components for micro system technologies. This paper presents an attempt to develop an appropriate machining strategy for machining of titanium alloy using zinc coated copper wire of 70 microns diameter. Voltage, capacitance, feed, wire tension and wire speed were taken as input parameters. Surface finish is considered as the measure of process performance. Design of experiments was done using Taguchi LI 6 orthogonal array. Optimization was done using taguchi signal to noise ratio technique. The results obtained from the experiments were analyzed using analysis of variance to find the significance of each input factor on the surface quality. Feed Forward Back Propagation Artificial Neural Network model was developed and trained.