期刊
SURFACE & COATINGS TECHNOLOGY
卷 206, 期 17, 页码 3700-3713出版社
ELSEVIER SCIENCE SA
DOI: 10.1016/j.surfcoat.2012.02.058
关键词
Superhydrophobicity; Nano-silica; Aluminum; EIS; Nanoindentation; Neural networks
资金
- Hubei Department of Education, China
- U.S. DOT Research and Innovative Technology Administration
Nano-silica particles were deposited on acid-etched hydrophilic aluminum (Al) substrates by immersion in well-dispersed nano-silica aqueous suspension and tetramethylamonium hydroxide, followed by a heat treatment. The surface was then further treated by a reaction with fluorosilane. The hydrophobicity, surface morphology, and mechanical properties of the coated Al substrates were investigated, along with their electrochemical properties over time of exposure to two NaCl solutions (0.3% and 3% by weight). All the coated Al surfaces exhibited a water contact angle of 155-158 degrees, i.e., superhydrophobicity. The use of nano-silica suspension significantly enhanced the hydrophobicity of the coated Al. Artificial neural networks were used to provide quantitative understanding in how the microstructure of the treated Al surface contributed to its superhydrophobicity and electrochemical properties. When R-a,R- total (nano-roughness + micro-roughness) exceeds 450 nm, WCA is greater than 154 degrees, independent of the nano/micro-roughness ratio (RRNM). FESEM and AFM images of these surfaces suggest that a rough two-length-scale hierarchical structure coupled with the low surface energy of fluorosilane topcoat led to the superhydrophobicity of the formed coatings. The coating prepared with the 0.2% nano-silica suspension (vs. other concentrations) featured the highest Young's modulus and the best corrosion protection to the Al substrate in both NaCl solutions. Published by Elsevier B.V.
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