Experiments, Statistical Analysis, and Modeling to Evaluate the Porosity Influence in SPS Coatings
Abstract
Suspension plasma spray (SPS) is far more complicated than conventional plasma spray and requires a deep knowledge about the influence of process parameters and their correlations. In this study, YSZ coatings were manufactured by SPS with six different process parameters such as plasma power, suspension mass load, original powder size, substrate surface topology, spray distance, and spray step. Then, the porosity of as-prepared coatings was investigated by image method and X-ray transmission technique. A multivariate analysis on the collected experimental data was carried out by employing mathematical statistics methods. The results showed that: 1) Coating porosity has a negative correlation with plasma power and suspension mass load and a positive correlation with the original powder size, spray distance, spray step, and substrate roughness; 2) Spraying distance is the main factor affecting to coating porosity, followed by suspension mass load and substrate surface roughness, respectively. A linear model for porosity prediction was developed and was verified by experiments. Furthermore, the mechanism by which process parameters influence coating porosity is additionally discussed.
- Authors:
-
- Université de Bourgogne Franche-Comté, Belfort (France)
- Argonne National Lab. (ANL), Lemont, IL (United States). Advanced Photon Source.
- Saint-Gobain Research Provence, Cavaillon (France). Centre de Recherches et d'Etudes Européen (CREE)
- Publication Date:
- Research Org.:
- Argonne National Lab. (ANL), Argonne, IL (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), Advanced Photon Source (APS)
- OSTI Identifier:
- 1501859
- Grant/Contract Number:
- AC02-06CH11357
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Journal of Thermal Spray Technology
- Additional Journal Information:
- Journal Volume: 28; Journal Issue: 1-2; Journal ID: ISSN 1059-9630
- Publisher:
- Springer
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 36 MATERIALS SCIENCE; image method; multivariate statistics analysis; porosity; process parameter; suspension plasma spray; x-ray transmission
Citation Formats
Zhao, Yongli, Peyraut, François, Planche, Marie-Pierre, Ilavsky, Jan, Liao, Hanlin, Lasalle, Audrey, Allimant, Alain, and Montavon, Ghislain. Experiments, Statistical Analysis, and Modeling to Evaluate the Porosity Influence in SPS Coatings. United States: N. p., 2018.
Web. doi:10.1007/s11666-018-0749-4.
Zhao, Yongli, Peyraut, François, Planche, Marie-Pierre, Ilavsky, Jan, Liao, Hanlin, Lasalle, Audrey, Allimant, Alain, & Montavon, Ghislain. Experiments, Statistical Analysis, and Modeling to Evaluate the Porosity Influence in SPS Coatings. United States. doi:10.1007/s11666-018-0749-4.
Zhao, Yongli, Peyraut, François, Planche, Marie-Pierre, Ilavsky, Jan, Liao, Hanlin, Lasalle, Audrey, Allimant, Alain, and Montavon, Ghislain. Mon .
"Experiments, Statistical Analysis, and Modeling to Evaluate the Porosity Influence in SPS Coatings". United States. doi:10.1007/s11666-018-0749-4. https://www.osti.gov/servlets/purl/1501859.
@article{osti_1501859,
title = {Experiments, Statistical Analysis, and Modeling to Evaluate the Porosity Influence in SPS Coatings},
author = {Zhao, Yongli and Peyraut, François and Planche, Marie-Pierre and Ilavsky, Jan and Liao, Hanlin and Lasalle, Audrey and Allimant, Alain and Montavon, Ghislain},
abstractNote = {Suspension plasma spray (SPS) is far more complicated than conventional plasma spray and requires a deep knowledge about the influence of process parameters and their correlations. In this study, YSZ coatings were manufactured by SPS with six different process parameters such as plasma power, suspension mass load, original powder size, substrate surface topology, spray distance, and spray step. Then, the porosity of as-prepared coatings was investigated by image method and X-ray transmission technique. A multivariate analysis on the collected experimental data was carried out by employing mathematical statistics methods. The results showed that: 1) Coating porosity has a negative correlation with plasma power and suspension mass load and a positive correlation with the original powder size, spray distance, spray step, and substrate roughness; 2) Spraying distance is the main factor affecting to coating porosity, followed by suspension mass load and substrate surface roughness, respectively. A linear model for porosity prediction was developed and was verified by experiments. Furthermore, the mechanism by which process parameters influence coating porosity is additionally discussed.},
doi = {10.1007/s11666-018-0749-4},
journal = {Journal of Thermal Spray Technology},
number = 1-2,
volume = 28,
place = {United States},
year = {2018},
month = {8}
}
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