Multi-response Optimization of Process Parameters During Wet Turning of Super Duplex Stainless Steel UNS S32760 Using Taguchi-Grey Relational Analysis

Abstract

The recent study addresses, the analysis of parametric impact of speed, feed and d.o.c. on performance factors characteristics, i.e., Fc, Ra, MRR, during wet turning of super duplex stainless steel UNS S32760 using nano-coated MEGACOAT carbide inserts. L9 orthogonal array is utilized, established by Taguchi experimental design and three levels of three control factors, i.e., (Vc = 110,120,130) m/min, feed = (0.20, 0.22, 0.25), and depth-of-cut (1.8, 2.0, 2.3 mm) are used for practical trial. To attain the characteristics of performance, Ra and Fc is minimized and MRR is maximized via. Taguchi-grey relational analysis. Simultaneous optimization of performance parameters is carried out using GRA, resulting in optimal parameter combination, i.e., Vc = 120 m/min, Feed = 0.20 mm/rev, depth of cut = 2.0 mm for general machining after confirmation trials. Prediction of parameter levels from average grade along with its GRG is calculated. A confirmation experiments are performed to guide the grey analysis. KeywordsPREN, Pitting Resistance Equivalent NumberPREN/W, Pitting Resistance Equivalent(Nitrogen/Tungsten)Cr, CromiumMo, MolybdenumN, NitrogenW, TungstenBUE, built uo edge