Taguchi based grey relational analysis for optimization of machining parameters of CNC turning steel 316

Abstract

The aim of the present work is to optimise the process parameter such as feed, speed and depth of cut in CNC turning process. The quality of the turning operation is depends on the surface roughness and material removal rate. The present work focuses on optimisation of turning parameters using the Taguchi technique to minimize surface roughness and maximize material removal rate. The experimental investigation for turning operations has been executed on a CNC lathe. Turning operations are performed based on the orthogonal array with L9 for stainless steel (316). The experimental results were analysed using ANOVA approach. The optimal condition for both material removal rate and surface roughness are calculated by using a technique called grey relational analysis. Grey relation grade is used to calculate the optimal condition for combined parameters.