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

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

Nirmal S. Kalsi (Department of Mechanical Engineering, Beant College of Engineering and Technology, Gurdaspur, India), Rakesh Sehgal (Department of Mechanical Engineering, National Institute of Technology, Hamirpur, Himachal Pradesh, India) and Vishal S. Sharma (Department of Industrial and Production Engineering, National Institute of Technology, Jalandhar, Punjab, India)
Copyright: © 2013 |Pages: 17
DOI: 10.4018/jsds.2013040105
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Abstract

In the present experimental study, Taguchi method and the GRA (grey relation analysis) technique were used to optimize a multi-objective metal cutting process to yield maximum performance of tungsten carbide-cobalt cutting tool inserts in turning. L18 orthogonal array was selected to analyze the effect of cutting speed, feed rate and depth of cut using cryogenically treated and untreated inserts. The performance was evaluated in terms of main cutting force, power consumption, tool wear and material removal rate using main effect plots of S/N (signal to noise) ratios. This study indicated that grey based Taguchi technique is not only a novel, efficient and reliable method of optimization, but also contributes to satisfactory solution for multi machining objectives in turning process. It is concluded that cryogenic treated cutting tool inserts performed better. However, the feed rate affected the process performance most significantly.
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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.

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