Modelling of MRR during Wire-EDM of Ballistic grade alloy using Artificial Neural Network Technique

Abstract

Abstract This research work presents an incorporated approach to modelling of WEDM of AA6063using Artificial Neural Network (ANN) technique. The experimental investigation has been carried out with four input variables namely pulse-on time (P ON ), pulse-off time (P OFF ), servo-voltage (V S ) and peak-current (I P ). Material removal rate are measured as response parameter. 3 k full factorial design is used to design the experimental runs. It is apparent from this study that values anticipated by developed model are found closer to experimental results. Thus, it ensures appropriateness of model for prediction purpose and smart manufacturing. Machined surfaces are also examined by SEM to critically evaluate the process.The first section in your paper.