Multi-response Optimization of Ni55.8Ti Shape Memory Alloy Using Taguchi–Grey Relational Analysis Approach

Abstract

Wire electrical discharge machining process is largely applicable to any conductive material regardless of its hardness. The present study aims to investigate the influence of input process parameters such as pulse on time, pulse off time and current on output responses of MRR and SR for Ni55.8Ti shape memory alloy. Taguchi’s L9 orthogonal array design has been utilized to conduct the experiments. ANOVA is used to study significance and non-significance of the response variables. All the process parameters are found to be significant for both the output responses. Grey relational analysis have been used to obtain an optimal combination of WEDM parameters to maximize the cutting rate while minimizing surface roughness for shape memory alloys, which is the most preferred material for aerospace and biomedical application because of its high resistance to corrosion and a non-toxic nature. Predicted values obtained at an optimal condition using GRA have been validated by experimental trail and show a very close relation.