期刊
COATINGS
卷 12, 期 10, 页码 -出版社
MDPI
DOI: 10.3390/coatings12101451
关键词
sandblasting pretreatment; 3D roughness parameters; bond strength; nonlinear regression analysis; surface morphology; thermal spraying coating
资金
- National Key Technologies Research and Development Program [2019YFB2005301]
This study aims to investigate the effects of 3D roughness parameters of sandblasted surfaces on the bond strength between thermal spray coatings and substrates. The results show that surface roughness parameters S-a, S-dr, S-dq, and S-q have a significant impact on bond strength, with a nonlinear regression relationship. Additionally, bond strength is positively correlated with S-a, S-dr, and S-dq, and inversely proportional to S-q.
This work aims to reveal the effects of 3D roughness parameters of sandblasted surfaces on bond strength between thermal spray coatings and substrates. The investigation was carried out on the surface of AISI 4140, which were pretreated with automatic-sandblasting system. 3D topography and roughness parameters were analyzed by a 3D optical profiler. The bond strength of WC-12Co coatings was measured using a pull-off test method. Scanning electron microscope revealed that the morphology of the surface after sandblasting was rough. Furthermore, the surface topography was characterized by several irregular peaks and pits with different directions and no fixed orientation randomly distributed on sandblasted surface. The average values for surface roughness S-a = 4.84 +/- 0.34 mu m and bond strength = 32.8 +/- 2.8 MPa were obtained. In terms of 3D roughness parameters, S-a, S-dr, S-dq and S-q were found to have more significant impact on affecting the bond strength, showing a nonlinear regression relationship. Furthermore, bond strength was positively correlated with S-a, S-dr and S-dq, while inversely proportional to S-q. This confirmed that a greater surface roughness of a sandblasted surface was not more conducive to the improvement of bond strength. The influence mechanism of each parameter was discussed, which was consistent with the regression mathematical model.
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