Optimization of Effects of Cutting Parameters and Cutting Tool Path by using Grey Based Taguchi Method

Abstract

In this study, an experimental investigation of surface roughness and cutting forces in milling of Al 7075 aluminum using multi-layered coated DLC cutting tools is presented. The influences of the feed rate, tool path strategy and depth of cut on surface roughness and cutting force are examined. In order to optimize the milling process, Taguchi Grey-based optimization method is used. The optimal machinability of Al 7075 aluminum using multi-layered coated DLC cutting tools is successfully determined.