A Novel MCDM Approach for Simultaneous Optimization of some Correlated Machining Parameters in Turning of CP-Titanium Grade 2

Abstract

The present work explores the application of a novel Multi-Criteria Decision Making (MCDM) based approach known as VIKOR analysis combined with Taguchi technique for simultaneous optimization of some correlated cutting variables in turning of commercially pure titanium grade 2 using uncoated carbide inserts. The experiments have been carried out according to Taguchi’s L27 orthogonal array. Three input variables viz. cutting speed, feed rate and depth of cut have been taken at three different levels. The impact of these cutting variables on cutting force, surface quality and material removal rate has been investigated. The optimal combination of machining parameters has been evaluated to minimize the cutting force and to maximize the surface finish and production rate using MCDM based VIKOR analysis method. ANOVA (analysis of variance) test has been performed to determine the most influencing cutting variable on overall quality measure i.e. VIKOR index (Qi). The optimal setting of machining variables has been shown using main effects plot for S/N ratio for Qi. The results of ANOVA exhibit that the cutting speed is the governing machining parameter followed by feed rate on overall quality index (Qi). The minimum (desirable) value of Qi is achieved at the parametric combination of v3-f1-d3 i.e. cutting speed (110 m/min), feed rate (0.08 mm/rev) and depth of cut (0.4 mm) respectively. The feasibility of the proposed methodology has been verified by conducting a confirmation test.