Application of Taguchi Method and ANOVA for the Optimization of AA6061-T6 Responses

Abstract

The present paper outlines an experimental investigation to study the influence of cutting parameters on material removal rate and surface roughness characteristics. The machining was performed on heat-treated aluminum-graded material AA6061. The turning parameters of speed, feed, and depth of cut and cutting tool type were considered as the controlled parameters. The L18 orthogonal array design was employed and the responses were analysed using Taguchi, Signal-to-Noise ratios, and ANOVA. From the analysis the optimal combination of process parameters for achieving maximum MRR is obtained at Tool type: Level 2, Non-Coated, Speed: Level 3, 2500 RPM, Feed: Level 3, 0.1 mm/rev, Depth of cut: Level 3, 1.5 mm respectively. Similarly, the optimal condition for achieving minimum Ra is obtained at Tool type: Level 1, Coated, Speed: Level 1, 1500 RPM, Feed: Level 1, 0.05 mm/rev, Depth of cut: Level 1, 0.5 mm respectively. The ANOVA results revealed that depth of cut and feed are the major influencing factors for the responses.