Optimization of Process Parameters of Hot-Dip Aluminized Coating

Jiang Chen; Guang Ze Dai; Jun Wen Zhao; Xing Min Huang; Jing Han

doi:10.4028/www.scientific.net/AMR.391-392.46

Paper Titles

Tribological Properties of Al-21Si-0.8Mg-1.5Cu-0.5Mn Alloys against Steel under Lubrication Conditions
p.28

Effect of La-Rich Misch Metal on Microstructure and Mechanical Properties of As-Extruded Mg-14Li-3Al Alloy
p.32

Theoretical Account for the Bimetallic Bonding of the Copper Clad Aluminum Wire by Clad-Drawing at Room Temperature
p.37

Study on Ni/Al Interface Diffusion at Initial Time by Using Molecular Dynamics Method
p.42

Optimization of Process Parameters of Hot-Dip Aluminized Coating
p.46

Surface Characteristics of Single Sisal Fiber and Interfacial Adhesion of Composites
p.51

Exploring the Reaction Heat Controlling and Engineering Scale Law in the Process to Synthesis PPTA Using Low-Temperature Solution Polycondensation
p.56

Experimental Research on Bonding Intensity of Iron Ores in the Sintering Process
p.60

Study of Ferrous Material Reduction Based on Thermal Reserve Zone of Modern Blast Furnace
p.65

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 391-392Optimization of Process Parameters of Hot-Dip...

Optimization of Process Parameters of Hot-Dip Aluminized Coating

Abstract:

The hot-dip aluminized process parameters with respect to the thickness and microstructure of intermetalic layer were investigated using a uniform design of experiments. The measured thickness of intermetalic layer was regressed as first- to third-order polynomial equations of four related parameters, i.e. hot-dip temperature, hot-dip time, diffusion treatment temperature and diffusion treatment time. It was found that the third-order regressed equation was acceptable and appropriate to identify the influences of the investigated parameters on the thickness of intermetalic layer. Comprehensive analysis of the results based on the regressed equation and microstructure could supply believable and optimized process parameters.

You might also be interested in these eBooks

Chemical Engineering and Material Properties

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 391-392)

Pages:

46-50

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.391-392.46

Citation:

Cite this paper

Online since:

December 2011

Authors:

Jiang Chen, Guang Ze Dai, Jun Wen Zhao, Xing Min Huang, Jing Han

Keywords:

Diffusion-Treatment, Hot-Dip Aluminized Coating, Stepwise Regression

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] C. J. Wang, S. M. Chen: Surface & Coatings Technology Vol. 201 (2006), p.3862.

Google Scholar

[2] J. F. Li, H. L. Liao, C. X. Ding, Coddet: Journal of Materials Processing Technology Vol. 160, (2005), p.34.

Google Scholar

[3] G. H. Awan, F. Hasan: Materials Science and Engineering A Vol. 472 (2008), p.157.

Google Scholar

[4] D. Q. Wang: Applied Surface Science Vol. 254 (2008), p.3026.

Google Scholar

[5] C. J. Wang, J. W. Lee, T. H. Twu: Surface and Coatings Technology Vol. 163-164 (2003), p.37.

Google Scholar

[6] M. B. Lin, C. J. Wang: Surface and Coatings Technology Vol. 205 (2010), p.1220.

Google Scholar

[7] D. Wu, B. Liu, D. W. Yi, Q. Yu: Material & Heat Treatment Vol. 37 (2008), p.51.

Google Scholar

[8] G. Q. Liu, B. Liu, D.W. Yi, D. Wu: Material & Heat Treatment Vol. 38 (2009), p.118.

Google Scholar

[9] K.T. Fang, Y. Wang: Number-Theoretic Methods in Statistics, Chapman and Hall, London, (1994).

Google Scholar

[10] J. F. Li, H. Liao, B. Normand, C. Cordier, G. Maurin, J. Foct, C. Coddet: Surface and Coatings Technology Vol. 176 (2003), p.1.

DOI: 10.1016/s0257-8972(03)00019-7

Google Scholar

[11] N.R. Draper, H. Smith: Applied Regression Analysis, Wiley, New York, (1981).

Google Scholar

[12] J. F. L i, J. Q. Huang, H. Ji, C. X. Ding: J. Chin. Ceram. Soc. Vol. 29(2001) p.49.

Google Scholar