Desirability-Based Performance Optimization of Wear-Resistant Coatings by HVOF Sprayed WC-Co Experiments

Abstract:

This study presented the desirability function based on Taguchi designed experiments to solve multiple responses statistical optimal problems for the tungsten carbide/cobalt (WC-Co) coatings of high-velocity-oxygen-fuel (HVOF) processes. The eight control factors based on L18 arrays were conducted and the multi-responses of wear-resistant coatings such as hardness, deposited thickness and wear rate were evaluated simultaneously in the desirability-based experiments. Based on desirability analysis, the optimal settings have been identified, and the impacts of control factors are determined by analysis of variance on the multi-responses. Further, a confirmation run was conducted to validate the tests. Experimental results have shown that the hardness increased by 16.61% and the deposited thickness improved by 10.50%, while the wear rate decreased by 34.03%. It was clear that confirmation tests are greatly improved by way of the desirability-based multi-responses on HVOF WC-Co experiments, and these findings achieved the desired values on wear-resistant coatings. The proposed procedure was applied at HVOF sprayed WC-Co experiments, and the implementation results demonstrated its feasibility and effectiveness to maximize hardness, make a target of deposited thickness value and minimize wear rate by a HVOF.

• Periodical: Advanced Materials Research (Volumes 189-193)
• Pages: 3633-3639
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.189-193.3633
• Online since: February 2011
• Authors: Ming Der Jean, Yih Hwang Yang, Tzu Hsuan Chien
• Keywords: Desirability Function, High-Velocity Oxygen-Fuel (HVOF), Multi-Responses, Tungsten Cemented Carbide/Cobalt (WC/Co)

References

[1] P. Suresh Babu, Bikramjit Basu, G. Sundararajan. Acta Materialia 2008 ; 56 ; 5012–5026.

DOI: 10.1016/j.actamat.2008.06.023

[2] J.M. Guilemany, S. Dosta, J. Nin, and J.R. Journal of Thermal Spray Technology 2005; 14; 405-413.

[3] Jia, K., Fischer, T. E., Gallois, B. (1998). Nanostructured Materials, 10(5), 875–891.

[4] Derringer, G., & Suich, R. (1980). Journal of Quality Technology, 12, 214–219.

[5] Wurl, R. C. and Albin, S. L. Quality Engineering, 1999; 11: 3; 405 — 415.

[6] P.H. Shipway, D.G. McCartney, T. Sudaprasert, Wear 2005; 259; 820–827.

DOI: 10.1016/j.wear.2005.02.059

[7] Jin Kawakita, Seiji Kuroda, Toshiaki Kodama, Surface and Coatings Technology 2003; 166; 17–23.

[8] T.Y. Cho, J.H. Yoon , K.S. Kim, K.O. Song, Y.K. Joo, W. Fang, S.H. Zhang, S.J. Youn, H.G. Chun, S.Y. Hwang. Surface and Coatings Technology 2008; 5556–5559.

DOI: 10.1016/j.surfcoat.2008.06.106

[9] H.S. Ni, X.H. Liu, X.C. Chang, W.L. Hou, W. Liu, J.Q. Wang . Journal of Alloys and Compounds 2009; 467; 163–167.

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

[11] Myers, R. H., and. Montgomery, D.C., Response surface methodology: Process and product optimization using design experiments, John-Wiley & Sons, USA, (1995).

[12] J.M. Guilemany, S. Dosta, J.R. Miguel. Surface & Coatings Technology, 2006; 201; 1180–1190.

[13] Jean MD, Liu CD. Wang JT. Applied Surface Science 2005; 245; 290-303.

[14] M.D. Jean, Lin BT, Chou JH. Surface and Coatings Technology, 2006; 201; 3129-3138.

[15] Jean MD, Lin BT, Chou JH. Acta Materialia 2007; 55; 1985–(1997).