JMMCE  Vol.2 No.6 , November 2014
Optimization of Carburized UNS G10170 Steel Process Parameters Using Taguchi Approach and Response Surface Model (RSM)
ABSTRACT
The utilization of carburizing materials in surface engineering has undergone many tremendous changes. Effective quality control is possible through carburizing the steel components under op-timal conditions. In this research work, process parameters like furnace temperature, soaking time and particle size of energizer were taken for optimization of carburized UNS-G10170 steel to yield maximum hardness using Taguchi’s design of experiment concepts and Response Surface Model. Nine experimental runs based on Taguchi’s L9 orthogonal array were performed; signal to noise (S/N) ratios, analysis of variance (ANOVA) and regression analysis were used with hardness as response variable. From the optimization and experimental analyses conducted, it was observed that furnace temperature, soaking time and particle size had significant influence in obtaining a better surface integrity. The optimal values obtained during the study optimization by Taguchi approach and Response Surface Model (RSM) were validated by confirmation experiments.

Cite this paper
Fatoba, O. , Akanji, O. and Aasa, A. (2014) Optimization of Carburized UNS G10170 Steel Process Parameters Using Taguchi Approach and Response Surface Model (RSM). Journal of Minerals and Materials Characterization and Engineering, 2, 566-578. doi: 10.4236/jmmce.2014.26058.
References
[1]   Oyetunji, A. and Adeosun, O.S. (2012) Effects of Carburizing Process Variables on Mechanical and Chemical Properties of Carburized Mild Steel. Journal of Basic and Applied Science, 8, 319-324.

[2]   Kanisawa, H.O. and Koyasou, Y.K. (1995) Development of High Strength Carburized Steels for Automobile Gears. Nippon Steel Technical Report, 65, 234-237.

[3]   Gupta, R.C. and Kumar, M.O. (1995) Abrasive Wears Characteristics of Carbon and Low Alloy Steels for Better Performance of Farm Implements. Journal of Material Science and Technology, 11, 91-96.

[4]   Tucas, J.O. (2010) Tribology of 316L Austenitic Stainless Steel Carburized at Low Temperature. M.Sc. Thesis, Case Western Reserve University, Cleveland.

[5]   Osma, A.U. (2009) Effect of High Temperature Gas Carburizing on Fatigue Bending Strength of SAE 8620 Steel. Materials and Design, 30, 1792-1797.

[6]   Wang, S.W., Lin, Y.C. and Chen, T.M. (2002) A Study on the Behavior of Hardened Medium Carbon Steel. Journal of Materials Processing Technology, 120, 126-132. http://dx.doi.org/10.1016/S0924-0136(01)01195-5

[7]   Aramide, F.O., Ibitoye, S.A. and Oladele, I.O. (2009) Effects of Carburizing Time and Temperature on the Mechanical Properties of Carburized Mild Steel, Using Activated Charcoal as Carburizer. Material Research, 12, 483-487. http://dx.doi.org/10.1590/S1516-14392009000400018

[8]   Gupta, R.C. (2009) Effect of Carburizing Temperatures on the Mechanical and Wear Behavior of Mild Steels. M.Sc. Thesis, National Institute of Technology Rourkela, India.

[9]   Atanda, P.O., Umoru, L.E. and Adeyeye, A.D. (2009) Effects of Carburizing Variables on the Case Properties of C2R Steel. Journal of Minerals and Materials Characterization and Engineering, 8, 79-92.

[10]   Muhammad, H.J. (2000) Effect of Various Heat Treatments on Microstructure and Mechanical Properties of Low Carbon Steel. ISIJ International, 34, 34-38.

[11]   Sarkar, S. (2008) Two Dimensional Mathematical Modeling in Cylindrical Coordinate for Simulating the Pack Carburization Process. ASM International, 39A, 46-48.

[12]   Kumar, M.O. (1994) Studies on the Abrasive Wear of Carburized Mild Steels. Transactions of the Indian Institute of Metals, 47, 417-420.

[13]   Ohize, E.J. (2009) Effects of Local Carbonaceous Materials on the Mechanical Properties of Mild Steel. AU Journal of Technology, 13, 107-113.

[14]   Preciado, M.J., Bravo, P.M. and Alegre, J.M. (2006) Effect of Low Temperature Tempering Prior Cryogenic Treatment on Carburized Steels. Journal of Materials Processing Technology, 176, 41-44. http://dx.doi.org/10.1016/j.jmatprotec.2006.01.011

[15]   Thamizhmanil, S., Saparudin, S. and Hasan, S. (2007) Analyses of Surface Roughness by Turning Process Using Taguchi Method. Journal of Achievements in Materials and Manufacturing Engineering, 20, 503-505.

[16]   Noorul, H.A., Marimuthu, P. and Jeyapaul, R. (2008) Multi-Response Optimization of Machining Parameters of Drilling Al/SiC Metal Matrix Composite Using Grey Relational Analysis in the Taguchi Method. International Journal of Advanced Manufacturing Technology, 37, 250-255.

[17]   Surace, R., De Filippis, L.A.C., Ludovico, A.D. and Boghetich, G. (2010) Application of Taguchi Method for the Multi-Objective Optimization of Aluminium Foam Manufacturing Parameters. International Journal of Material Forming, 3, 1-5.

[18]   Tosun, N. and Ozler, L. (2004) Optimization for Hot Turning Operations with Multiple Performance Characteristics. International Journal of Advanced Manufacturing Technology, 23, 777-782.

[19]   Lin, T.R. (2002) Experimental Design and Performance Analysis of TiN-Coated Carbide Tool in Face Milling Stainless Steel. Journal of Materials Processing Technology, 127, 1-7.
http://dx.doi.org/10.1016/S0924-0136(02)00026-2

[20]   Palanikumar, K., Shanmugam, K. and Paulo, D.J. (2010) Analysis and Optimization of Cutting Parameters for Surface Roughness in Machining Al/SiC Particulate Composites by PCD Tool. International Journal of Materials and Product Technology, 37, 117-128.
http://dx.doi.org/10.1504/IJMPT.2010.029463

[21]   Kaladhar, M., Subbaiah, K.V., Rao, C.S. and Rao, K.N. (2011) Application of Taguchi Approach and Utility Concept in Solving the Multi-Objective Problem When Turning AISI 202 Austenitic Stainless Steel. Journal of Engineering Science and Technology, 4, 55-61.

[22]   Park, C.K. and Ha, J.Y. (2005) A Process for Optimizing Sewing Conditions to Minimize Seam Pucker Using the Taguchi Method. Textile Research Journal, 75, 245-252.
http://dx.doi.org/10.1177/004051750507500310

[23]   Taguchi, G., Chowdhury, S. and Wu, Y. (2005) Taguchi’s Quality Engineering Handbook. John Wiley & Sons, Inc., Hoboken, 1662.

[24]   Roy, R.K. (2001) Design of Experiment Using Taguchi Approach. Wiley-Interscience Publication, Hoboken, 538.

[25]   Ross, P.J. (1996) Taguchi Techniques for Quality Engineering. Mcgraw-Hill International Editions, New York, 329.

[26]   Kamaruddin, S., Khan, Z.A. and Foog, S.H. (2010) Application of Taguchi Method in the Optimization of Injection Moulding Parameters for Manufacturing Products from Plastic Blend. International Journal of Engineering and Technology, 2, 574-580. http://dx.doi.org/10.7763/IJET.2010.V2.184

[27]   Khosla, A., Kumar, S. and Aggarwal, K.K. (2006) Identification of Strategy Parameters for Particle Swarm Optimizer through Taguchi Method. Journal of Zhejiang University Science A, 7, 1989-1994. http://dx.doi.org/10.1631/jzus.2006.A1989

[28]   Mel, M., Karim, M.I.A., Jamal, P., Salleh, M.R.M. and Zakaria, R.A. (2006) The Influence of Process Parameters on Lactic Acid Fermentation in Laboratory Scale Fermenter. Journal of Applied Sciences, 6, 2287-2291. http://dx.doi.org/10.3923/jas.2006.2287.2291

[29]   Chen, Q.H., Au, K.F., Yuen, C.W.M. and Yeung, K.W. (2003) Effects of Yarn and Knitting Parameters on the Spirality of Plain Knitted Wood Fabrics. Textile Research Journal, 73, 421-426.
http://dx.doi.org/10.1177/004051750307300508

[30]   Subrata, M., Asish, B. and Pradip, K. (2011) Ni-Cr-Mo Cladding on Mild Steel Surface Using CO2 Laser and Process Modeling with Response Surface Methodology. International Journal of Engineering Science and Technology, 3, 6805-6816.

[31]   Montgomery, D.C. (2001) Design and Analysis of Experiments. 5th Edition, John Wiley & Sons Ltd., New York.

[32]   Wang, J.P., Chen, Y.Z., Ge, X.W. and Yu, H.Q. (2007) Optimization of Coagulation-Flocculation Process for a Paper-Recycling Wastewater Treatment Using Response Surface Methodology. Colloids and Surfaces A, 302, 204-210. http://dx.doi.org/10.1016/j.colsurfa.2007.02.023

 
 
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