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Investigations Into the Turning Parameters Effect on the Surface Roughness of Flame Hardened Medium Carbon Steel with TiN-Al2O3-TiCN Coated Inserts based on Taguchi Techniques

Authors: Samir Khrais, Adel Mahammod Hassan , Amro Gazawi


The aim of this research is to evaluate surface roughness and develop a multiple regression model for surface roughness as a function of cutting parameters during the turning of flame hardened medium carbon steel with TiN-Al2O3-TiCN coated inserts. An experimental plan of work and signal-to-noise ratio (S/N) were used to relate the influence of turning parameters to the workpiece surface finish utilizing Taguchi methodology. The effects of turning parameters were studied by using the analysis of variance (ANOVA) method. Evaluated parameters were feed, cutting speed, and depth of cut. It was found that the most significant interaction among the considered turning parameters was between depth of cut and feed. The average surface roughness (Ra) resulted by TiN-Al2O3- TiCN coated inserts was about 2.44 μm and minimum value was 0.74 μm. In addition, the regression model was able to predict values for surface roughness in comparison with experimental values within reasonable limit.

Keywords: Medium carbon steel, Prediction, Surface roughness, Taguchi method

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[1] D. C. Montgomery, Introduction to Statistical Quality Control, 2nd ed., John Wiley & Sons Limited, New York, 1991.
[2] P. Arbizu, C. J. Luis Perez, "Surface roughness prediction by factorial design of experiments in turning processes," J. Mater. Process. Technology, 143-144, pp.390-396, 2003.
[3] K. A. Risbood, U.S. Dixit, A.D. Sahasrabudhe, "Prediction of surface roughness and dimensional deviation by measuring cutting forces and vibrations in turning process," J. Mater. Process. Technology, vol.132, pp. 203-214, January 2003.
[4] C. X. Feng, "An experimental study of the impact of turning parameters on surface roughness," In Proceedings of the 2001, Industrial Engineering Research Conference, Paper No. 2036.
[5] G. Boothroyd, W.A. Knight, Fundamentals of Machining and Machine Tools, Marcel Dekker, New York 1989.
[6] A.E. Diniz, R. Micaroni, "Cutting conditions for finish turning process aiming: the use of dry cutting," Int. J. Mach. Tools Manufacturing, vol. 432,pp. 899-904, June 2002.
[7] M. Armendia, A. Garay, L.-M. Iriarte, P.-J. Arrazola, "Comparison of the machinabilities of Ti6Al4V and TIMETAL 54M using uncoated WC-Co tools," J. Mater. Process. Technology, vol. 210, pp.197-203, 2010.
[8] J.-T. Horng, N.-M. Liu, K.-T. Chiang, "Investigating the machinability evaluation of Hadfield steel in the hard turning with Al2O3/TiC mixed ceramic tool based on the response surface methodology," J. Mater. Process. Technology, vol. 208,pp.532-541, November 2008.
[9] D. I. Lalwani, N. K. Mehta, P. K. Jain, "Experimental investigations of cutting parameters influence on cutting forces and surface roughness in finish hard turning of MDN250 steel," J. Mater. Process. Technology, vol. 206, pp.167-179, September 2008.
[10] T. Özel, Y. Karpat, "Predictive modeling of surface roughness and tool wear in hard turning using regression and neural networks," Int. J. Mach. Tools Manufacturing, vol. 45, issue 4-5, pp. 467-479, April 2005.
[11] P. G. Benardos, G. C. Vosniakos, "Predicting surface roughness in machining: a review," Int. J. Mach. Tools Manufacturing, vol. 43, pp.833-844, June 2003.
[12] I. A. Choudhury, M.A. EI-Baradie, "Surface roughness in the turning of high strength steel by factorial design of experiments," J. Mater. Process. Technology, vol. 67, pp. 55-61, 1997.
[13] J. Vivancos, C. J. Luis,, L. Costa , J.A. Ort'─▒z, "Optimal machining parameters selection in high speed milling of hardened steels for injection moulds," J. Mater. Process. Technology, vol. 155-156, pp. 1505-1512, November 2004.
[14] P. Ross, Taguchi Techniques for Quality engineering-Loss function, Orthogonal Experiments, Parameter and Tolerance Design, McGraw- Hill, New York, 1988, pp.10-50.
[15] G. Taguchi, S. Konishi, Taguchi Methods, Orthogonal Arrays and Linear Graphs, Tools for Quality Engineering, American Supplier Institute, 1987, pp. 35-38.
[16] SANDVICK Coromant Main Catalogue. 2007.
[17] J. P. Davima, V. N. Gaitondeb, S. R. Karnikc, "Investigations into the effect of cutting conditions on surface roughness in turning of free machining steel by ANN models," J. Mater. Process. Technology, vol.205, pp.16-23, August 2008.