?Optimizing cutting parameters for minimizing surface roughness and improvement of tool life on ASTM A36 using taguchi method?

Abstract

The challenge of modern machining industries is mainly focused on the achievement of high quality, in terms of work piece dimensional accuracy, surface finish, high production rate, less wear on the cutting tools, economy of machining in terms of cost saving and increase the performance of the product. Therefore cutting parameters must be chosen and optimized in such a way that the surface quality and flank wear can be controlled. Grey taguchi method is applied to optimized multi-response. In this study L27 orthogonal array used to optimized turning parameters i.e. cutting speed, feed, depth of cut and corner radius. The coefficient and grades according to Grey relational analysis are evaluated using normalized experimental results of the performance characteristics. The Analyses Of Variance (ANOVA) are conducted to identify the most significant factor affecting the turning performance. The obtained results indicate that cutting speed is most effective parameter that affect on surface roughness and flank wear subsequently followed by depth of cut, feed rate and corner radius.