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

Nirmal S. Kalsi, Rakesh Sehgal and Vishal S. Sharma
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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
Vishal S. Sharma: Department of Industrial and Production Engineering, National Institute of Technology, Jalandhar, Punjab, India

International Journal of Strategic Decision Sciences (IJSDS), 2013, vol. 4, issue 2, 79-95

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.

Date: 2013
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