Optimization of Machining Parameters of Valve Steel SUH03 (X45CrSiMo10-2) Using Gray Based Taguchi Method

Abstract:

This paper embarks the machining parameters of Turning by optimization using Taguchi’s approach. The optimization is very essential in order to obtain the expected surface quality. The results of cutting parameters of optimization is seen in the Surface Roughness, Tool wear and MRR of the material. The L18 Orthogonal array has been chosen for the optimization of Valve Steel SUH03.The uncoated carbide inserts were used and the four parameters Speed, Feed, Depth of Cut and Nose Radius has been taken as input parameters. The Signal to Noise ratio and Analysis of Variance software has been analyzed using Minitab software through which the optimal cutting parameters of the best surface roughness, tool wear and MRR has been obtained. The final results have been compared by the Gray relational analysis to find the optimum machining conditions of all the parameters.

• Periodical: Applied Mechanics and Materials (Volumes 813-814)
• Pages: 376-381
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.813-814.376
• Online since: November 2015
• Authors: B. Yazhini*, S. Rajeswari, Sivasakthivel Sivasakthivel
• Keywords: Gray Relational Analysis, Material Removal Rate (MRR), Orthogonal Array, Surface Roughness, Taguchi Method, Tool Wear

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