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Towards optimization of thickness, hardness, and porosity of low-pressure cold sprayed WC-Ni coatings.

Authors :
Jibran, Wania
Hogan, James
McDonald, André
Source :
International Journal of Advanced Manufacturing Technology. Oct2021, Vol. 116 Issue 7/8, p2149-2160. 12p. 4 Color Photographs, 1 Black and White Photograph, 1 Diagram, 4 Charts, 1 Graph.
Publication Year :
2021

Abstract

In this study, a 33 full factorial design methodology was used to analyze the effects of spray parameters on the thickness, hardness, and surface porosity of low-pressure cold-sprayed WC-17Ni coatings. Three levels were selected for the spray parameters included in the design which were the powder feed rate (17.1 g/min, 21.1 g/min, and 23.7 g/min), gas temperature (475°C, 500°C, and 525°C), and the nozzle to substrate stand-off distance (3 mm, 5 mm, and 10 mm). It was found that the feed rate was the most significant parameter that affected the coating thickness. The surface porosity was most significantly affected by stand-off distance. The coating hardness was most influenced by the interaction between the feed rate and stand-off distance. An optimization study was then performed to maximize the coating thickness and hardness while minimizing the surface porosity. The optimal spray parameters (OSP) were found to be at a feed rate of 23.7 g/min, 500°C for the carrier gas temperature, and 10 mm for the stand-off distance. The OSP yielded a coating that was 1.22 ± 0.06 mm thick, with a hardness of 364.5 ± 8.5 HV and porosity of 6.8 ± 0.6%. With a multi-parameter process, the system response is affected by both the variation in the individual parameters and the interaction of the parameters with each other. It was also concluded that the interaction between the parameters significantly affected the coating hardness. These results suggest that variation of the selected parameters produce statistically significant effects on the coating quality of WC-17Ni coatings using a low-pressure cold spray system. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
02683768
Volume :
116
Issue :
7/8
Database :
Academic Search Index
Journal :
International Journal of Advanced Manufacturing Technology
Publication Type :
Academic Journal
Accession number :
152319002
Full Text :
https://doi.org/10.1007/s00170-021-07500-w