Taguchi-Based Grey Relation Optimization of Machining Parameters and Cutting Path Strategies in CNC Pocket Milling Operations

Abstract

Abstract This study has focused on the Taguchi-based multi-response optimization of the pocket milling process for an optimal parametric combination to yield minimum surface roughness within a minimum machining time using a combination of Grey relational analysis (GRA) and the Taguchi method on the CNC process of DIN 1.0038 medium carbon steel. Sixteen experimental runs based on an orthogonal array of the Taguchi method were performed to derive multi-objective functions to be optimized within the experimental range. The objective functions have been selected in relation to parameters of the pocket milling process, i. e., surface roughness and machining time. The Taguchi approach was followed by Grey relational analysis to solve the multi-response optimization problem. The significance of these factors on overall quality characteristics of the pocket milling process has also been evaluated quantitatively by a variance analysis method (ANOVA). Optimal results have been verified by validation experiments to calculate the effectiveness of the method. The application of this method showed that proper selection of the milling parameters produces better surface roughness within the minimum machining time.