Optimization of Parameters of Plasma Spraying of Titanium and Hydroxyapatite Powders

Application of artificial neural networks for optimization of plasma spraying parameters was considered. Artificial neural networks were used to select realistic parameters of titanium and hydroxyapatite powder coating of titanium products. For titanium coatings, the optimal arc current was found to...

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Bibliographic Details
Published in:Biomedical engineering 2021-07, Vol.55 (2), p.121-125
Main Authors: Timofeev, M. N., Koshuro, V. A., Pichkhidze, S. Ya
Format: Article
Language:English
Subjects:
Analysis
Arc spraying
Artificial neural networks
Biomaterials
Biomedical and Life Sciences
Biomedicine
Coatings
Engineering
Hydroxyapatite
Neural networks
Optimization
Parameters
Plasma spraying
Porosity
Powder coating
Powders
Protective coatings
Spraying
Substrates
Titanium
Titanium products
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Summary:Application of artificial neural networks for optimization of plasma spraying parameters was considered. Artificial neural networks were used to select realistic parameters of titanium and hydroxyapatite powder coating of titanium products. For titanium coatings, the optimal arc current was found to be 380-450 A; optimal spraying distance, 100-150 mm; optimal titanium powder dispersity, 40-90 μm. Similar optimal ranges were obtained for hydroxyapatite coatings. The goal of the optimization wais to maximize the coating adhesion to the substrate and to improve its porosity.
ISSN:0006-3398
1573-8256
DOI:10.1007/s10527-021-10084-0