Multi Objective Optimization using Grey Taguchi Method.

Abstract

This study investigated the optimization of CNC turning operation parameters for Copper using the Grey relational analysis method. In turning process parameters such as cutting tool geometry and materials, depth of cut, feed rates, cutting speeds as well as the use of cutting fluids will impact the MRR and machining properties like surface roughness. The controllable input parameters were Speed (RPM), Feed (mm/rev) and Depth of Cut (mm). Twenty Seven experimental runs based on an orthogonal array of Taguchi method were performed. The properties of Surface Finish and Material Removal Rate were selected as the quality targets or the response variables. An optimal parameter combination of the turning operation was obtained via Grey relational analysis. By analyzing the Grey relational grade matrix, the degree of influence for each controllable process factor onto individual quality targets can be found. The optimal parameter combination is then tested for accuracy of conclusion with a test run using the same parameters.