Part of #Application of Taguchi Method Grey Analysis and ANOVA in Optimization of Titanium Alloys Milling# :
Publishing year : 2011
Conference : Twelfth National Conference on Manufacturing Engineering, Iran
Number of pages : 6
Abstract: Milling is one of the most important machining operations in industrial production systems. Since a long time ago, Multiobjective optimization of milling according to the inherent complexity of the process is a competitive engineering issue. This act determines the necessity of applying combination techniques in multi-objective optimization of the process. In this paper using Taguchi Method Gray Analysis (TMGA), a multi-criteria optimization of milling was performed. Material Removal Rate (MRR), Tool Life (TL) and Surface Roughness (SR) of machined parts are considered as process controllable variables as productivity goals and cutting speed. Optimal process parameters are determined by the gray relational grades obtained from the gray generation for multiple performance characteristics obtained from Taguchi Design of Experiments (DOE). In addition, the effect of parameters on each objective was evaluated using Analysis of Variance (ANOVA). This study demonstrates that the proposed method can be used for high-precision optimization and variable-effect evaluation. Result obtained by TMGA match closely with ANOVA and it is concluded that the feed rate of cutting tool most affects the milling factor.