Publication

Abstract : In this work ABAQUS/Explicit FE package is used to create a 2D model replicating Orthogonal turning process of Ti-6Al-4V workpiece with an Arbitrary Lagrangian-Eulerian remeshing algorithm. Response Surface methodology (RSM) and Taguchi method was used to formulate the objective function and obtain optimum machining parameters, in DoE software. The influence of each machining parameter on cutting force is studied with the help of ANOVA and the significance and contribution of each parameter was identified. Further, a comparison of three optimization methods namely RSM, Taguchi and Teaching and Learning based Optimization (TLBO) was made. From ANOVA, it is concluded that depth of cut (72.64%) is the most significant parameter influencing cutting force. Among the three optimization methods, Taguchi gives the least response value of followed by TLBO and RSM.