Studies on Optimization of Tool Wear in Hard Turning of EN 24 Steel Using DoE and Verification through ANOVA and RSM

This paper depicts about prediction of tool wear in hard turning of 817M40 (EN 24) steel material with 48 HRC at conventional lathe using Multicoated hard metal inserts with sculptured rake face geometry. In hard turning, tool wear becomes an important parameter affecting the surface quality of finished parts. Also, an effort is made to bring together the cutting force, cutting temperature and tool vibration (displacement) in conjunction with cutting velocity, feed and depth of cut to foresee the tool wear. Taguchi L18 orthogonal array (mixed design) optimization using Minitab software was used in this work to optimise various cutting parameters such as cutting velocity, feed, and depth of cut. Furthermore, the Design of Experiment results are weighed against the Analysis of Variance (ANOVA) Response Surface methodology (RSM). The result obtained from Response surface methodology (RSM) and Analysis of Variance (ANOVA) conforms very strongly to the results obtained by Design of Experiment (DoE).