Grey-Based Taguchi Analysis for Optimization of Multi-Objective Machining Process in Turning

Introduction

Machining is one of the most important processes carried out in an industry to produce a desired shape, size and finish of a component by removing excessive material in the form of chips from a workpiece. It is carried out in a very hostile environment accompanied by deformation in compression, tension and shear by a great deal of friction and heat generation. Higher material removal rate, machining accuracies with a better surface finish are always prime requirements in the machining, with minimum possible cost. The main controlling factors in a machining process that influence the cost involved are: speed, feed rate, depth of cut, cutting tool material, cutting tool profile, workpiece material, tool geometry and cutting fluids (Kalhori, 2001). Carbide tools are the backbone of today’s manufacturing industry. However, tungsten carbide tools probably that most common and widespread high production tools for the purpose of machining. These have the capability to give a better surface finish on the components, and allow the faster machining without getting much effected even at higher temperatures compared to standard high speed steel tools. Cryogenic treatment (CT) has already known as a method that improves the core properties of materials. In case of tungsten carbide cutting tool material, literature is available, which attributes better wear resistance, and hence the increase in tool life to the cryogenic treatment (Kalsi et al., 2010). Although all, machining performance and product characteristics may not be guaranteed to be acceptable, until a planned strategy for the process is adopted. Therefore, optimum cutting conditions are always desired to accomplish the objective.