The Enhancement of Integrated Properties of WC-Co Coatings Fabricated Using an HVOF Spraying

Article Preview

Abstract:

This study reported on Taguchi-Fuzzy logic model with statistical experiments to characterize the tungsten carbide/cobalt (WC-Co) deposited quality properties of the high-velocity oxygen-fuel (HVOF) process. The eight control factors were designed in a factorial orthogonal array experiment, and the effects of control parameters on the integrated surface properties were critically evaluated in the Taguchi designed experiments. A fuzzy logic system with knowledge bases in the inference engine was used to explore the relationships between variables and responses in the modified structures. In addition, the structure and properties of HVOF sprayed WC-Co coating were reported. Furthermore, a confirmation experiment of the optimal process was conducted. It was clear that HVOF sprayed WC-Co coating estimations are greatly improved through the Taguchi-Fuzzy logic operation, and these findings achieved the desired values in the modified properties.

You might also be interested in these eBooks

Info:

Periodical:

Materials Science Forum (Volumes 675-677)

Pages:

541-545

Citation:

Online since:

February 2011

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2011 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Suryanarayanan R. Plasma Spraying: Theory and Applications, Hackensack. N J, World Scientific Publishing Company; (1993).

Google Scholar

[2] Sarikay O. Surface and Coatings Technology , Vol. 190(2005) p.388– 393.

Google Scholar

[3] Khalid F A. Materials Science and Engineering, Vol. 338(2002), pp.76-80.

Google Scholar

[4] Zhua YC, Ding CX, Yukimura K, Xiao TD, Strutt PR. Ceramics International, Vol. 27(2001), p.669–674.

Google Scholar

[5] Amada S, Imagawa K, Aokic S. Surface and Coatings Technology, Vol. 154(2002) p.27–33.

Google Scholar

[6] Wu Y W, Wu A, Taguchi method for Robust Design, ASME, New York, (2000).

Google Scholar

[7] C.T. Lin, C.S. Lee, Neural Fuzzy System : A Neural-Fuzzy Synergism to intelligent Systems, Prentice Hall, Simon &Schuster, New Jersey, (1996) pp.328-331.

Google Scholar

[8] Aleksendric D, Duboka C. Wear, Vol. 261(2006), p.269–282.

Google Scholar

[9] Jean MD, Liu CD. Wang JT. Applied Surface Science , Vol. 245(2005), pp.290-303.

Google Scholar

[10] Jean MD, Lin BT, Chou JH. Acta Materialia, Vol. 55(2007), p.1985–(1997).

Google Scholar