WITHDRAWN: Optimization and modeling of drilling variables on AMCs using Taguchi technique and regression analysis

Abstract

This research work explores the optimum variables for the drilling process of AA7075 matrix composite filled with 10 wt% ZrO 2 particles was synthesized via stir casting route. A Taguchi approach was used to determine the optimum variables such as rotational speed (500, 750, 1000 and 1250 rpm), feed rate (0.06, 0.08, 0.10 and 0.12 mm/rev) and depth of cut (1.0, 1.5, 2.0 and 2.5 mm) on the surface roughness (SR) of the composite. The experiments were performed on a CNC machining centre using HSS tool. The signal-to-noise (S/N) ratio and analysis of variance (ANOVA) was applied to find out the optimum parameters and also compute the notable effects of factors on the SR. The result reveals that, the rotational speed of 1250 rpm; feed rate of 0.12 mm/rev and depth of cut of 1.5 mm were achieved the low SR. The ANOVA results understood that the feed rate was the most impactful factor on SR subsequently by rotational speed with a contribution of 60.37% and 32.66% respectively. The interaction effects of variables on SR were also reported. At last, regression equation was formulated to predict the SR and it was compared with experimental SR.