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Statistic Modeling and Optimization of the Track in Plasma Cladding Process

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Abstract

A single cladding track with good surface is the premise of preparation of a good coating in plasma cladding process. Generally, the available domain for the match of factors (ADMF) is not clear for a specific set-up system. The ADMF of principle operational factors (current of the transferred arc P, powder feeding rate F, and scanning speed S) was primarily detected by a discriminant model of mahalanobis distance. To predict and control the geometric features (height, width, and surface finish) of a single plasma cladding track, Uniform design and stepwise regression analysis were applied to build statistic models. These statistic models were confirmed by experiments. A coating with designed size was prepared based on the statistic models.

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Acknowledgments

The authors would like to thank the financial support for this work from the Research Foundation of Education Bureau of Hubei Province, China (Q20131804), the Foundation of Province Key Laboratory for Modern Auto Parts Technology in Hubei, China (201201), and the Foundation of Hubei University of Automotive Technology, China (BK201206). We give particular thanks to Jennifer Tribble, who is from Rose-Hulman Institute of Technology, Terre Haute, Indiana, USA, for her refining the grammar of our manuscript.

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Authors and Affiliations

  1. State Key Laboratory for Material Behavior of Materials, School of Materials Science and Engineering, Xi’an Jiaotong University, Xi’an, 710049, Shaanxi, P.R. China

    Jianyong Liu & Jiandong Xing

  2. Department of Materials Engineering, Hubei University of Automotive Technology, Shiyan, 442002, Hubei, P.R. China

    Jianyong Liu & Daxin Zeng

  3. Province Key Laboratory for Modern Auto Parts Technology, Wuhan University of Technology, No. 122 Luoshi Road, Wuhan, Hubei, P.R. China

    Jianyong Liu

Authors
  1. Jianyong Liu
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  2. Daxin Zeng
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  3. Jiandong Xing
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Correspondence to Jianyong Liu.

Appendix

Appendix

See Tables 8, 9 and 10.

Table 8 The uniform design U *16 (163)_1 for test and train the discriminant model
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Table 9 The uniform design U *16 (163)_2 for studying the morphology of the cladding tracks
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Table 10 The calculations by the discriminant model based on data from Table 4 of the Uniform design U *16 (163) and the comparison between the practical type of track and the prediction
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Liu, J., Zeng, D. & Xing, J. Statistic Modeling and Optimization of the Track in Plasma Cladding Process. J Therm Spray Tech 23, 1390–1403 (2014). https://doi.org/10.1007/s11666-014-0140-z

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  • DOI: https://doi.org/10.1007/s11666-014-0140-z

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