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Title: Evaluation of nano/submicro pores in suspension plasma sprayed YSZ coatings

Journal Article · · Surface and Coatings Technology
 [1];  [2];  [2];  [2];  [2];  [2];  [3];  [4];  [4]
  1. Shanghai Univ. of Engineering Science, Shanghai (China); Univ. de Bourgogne Franche-Comté, Belfort (France)
  2. Univ. de Bourgogne Franche-Comté, Belfort (France)
  3. Argonne National Lab. (ANL), Argonne, IL (United States)
  4. Saint-Gobain CREE, Cavaillon (France)
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Nano-submicro pores could considerably influence the coating performances and thus should be carefully designed for the intended applications. However, it is challenging to characterize accurately such small pores in coatings. In this study, YSZ coatings were firstly manufactured by suspension plasma spray (SPS) and the nano-submicro pores in as-prepared coatings were investigated using Ultra-small-angle X-ray scattering (USAXS). Afterwards, a multivariate analysis on the effect of five different process parameters was carried out. The two main results showed that: 1) the nano-submicro pores content in coatings has a negative correlation with suspension mass load and powder size, and a positive correlation with spray distance, spray step, and substrate surface roughness; 2) suspension mass load is the main factor affecting the content of nano-submicro pores. Then, a mathematical model for the prediction of nanosubmicro pores was developed, and the control of nano-submicro pores content by using the predictive model was presented. Finally, the sintering effect on the evolution of nano-submicro pores was studied using USAXS as well.

Research Organization:
Argonne National Laboratory (ANL), Argonne, IL (United States)
Sponsoring Organization:
USDOE Office of Science (SC), Basic Energy Sciences (BES). Scientific User Facilities Division
Grant/Contract Number:
AC02-06CH11357
OSTI ID:
1603488
Alternate ID(s):
OSTI ID: 1777502
Journal Information:
Surface and Coatings Technology, Vol. 378, Issue C; ISSN 0257-8972
Publisher:
ElsevierCopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 4 works
Citation information provided by
Web of Science

Figures / Tables (14)

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Related Subjects

36 MATERIALS SCIENCE
USAXS
multivariate analysis
nano-submicro pore
predictive model
process parameter
suspension plasma spray