A comparison of the different multiple response optimization techniques for turning operation of AISI O1 tool steel

In this article, the effect of several process parameters such as tool nose radius, speed, feed and depth of cut on the machining performance of turning operation has been studied using AISI O1 tool steel as a work material. The machining characteristics that are being studied are material removal rate (MRR) and surface roughness (SR) of machined surface. Taguchi method is utilized for single response optimization. For multi-response optimization, weighted signal-to-noise ratio (WSN), grey relational analysis (GRA), utility concept and technique for order preference by similarity to ideal solution (TOPSIS) method have been utilized and their performance is evaluated. WSN method has been found to produce best results for multi-response optimization for this study.