Application of Taguchi Desirability Function Analysis (TDFA) for Optimizing Multiple Responses in Turning Inconel 718
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In this work a new approach of multi response optimization for turning process in Inconel 718 using Taguchi based desirability function analysis (TDFA) is presented. Experiments based on Taguchi L9 orthogonal array (OA) was considered in this study. Three machining parameters viz., cutting speed (v), feed rate (f) and depth of cut (d) are optimized by multi response considerations namely surface roughness (Ra), tool wear (VB), tool life (TL), cutting force (F), cutting power (P) and material removal rate (MRR). The approach obtains composite desirability value for the multiple response using individual desirability values evaluated. The optimum parameters are obtained based on composite desirability value. It is observed that the combination of turning parameters as v = 35 m/min, f = 0.1 mm/rev and d = 1.25 mm (i.e., v2-f1-d2) are obtained as optimal parameters producing Ra, VB, TL, F, P, and MRR respectively as 0.46128 μm, 0.1140 mm, 21.8296 min, 770.135 N, 4.89497 kW, 4375 mm3/min. Confirmation test of the predicted result shows the maximum % error is 6.67.
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