Optimization of Cryogenic Turning Process Parameters Using Grey Relational Analysis (GRA) in Super-Duplex Stainless Steel (A479)

Abstract

Cryogenic machining is a green manufacturing technique which eliminates conventional coolant use and related health issues. Present work optimizes cryogenic machining parameters by means of grey relational analysis in super-duplex stainless steel. The experiment is designed by means of Taguchi L27 orthogonal array. The input parameters considered for the experiments are cutting speed(v), feed(f) and depth of cut(d), and output parameters are surface roughness value Ra, Rz and material removal rate (MRR). The experimental analysis is designed to minimize surface roughness and maximize MRR. The optimized results for better performance characteristics are cutting speed 240 m/min, feed rate at 0.1 mm/rev and depth of cut 1.5 mm.