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Bi-Gaussian stratified theory to understand wettability on rough topographies
- Source :
- Surface and Coatings Technology. 367:271-277
- Publication Year :
- 2019
- Publisher :
- Elsevier BV, 2019.
-
Abstract
- Surface topography serves as the fingerprint of a machine element. Most researchers understood topographies from a single-stratum perspective, while some have started to concern a bi-Gaussian stratified viewpoint. In this paper, a two-stage abrasive manufacturing process was employed to produce designed bi-Gaussian stratified topographies on hydrophilic steel discs, and a chemical vapor deposition of 1H,1H,2H,2H-perfluorooctyltrichlorosilane was conducted to form a hydrophobic self-assembled monolayer on each disc. By carefully measuring the static contact angles on these hydrophilic and hydrophobic surfaces, for the first time we were able to provide insights into the mechanism by which bi-Gaussian stratified topographies affect the wettability. Wetting behaviors on hydrophilic surfaces can be well explained by the Wenzel model from a bi-Gaussian stratified viewpoint. Rough components and a small proportion of the upper component can contribute to a small contact angle because of the increased surface-area extension. However, wetting behaviors on hydrophobic surfaces cannot be completely answered by the Cassie model, indicating another significant influence factor, i.e., autocorrelation lengths.
- Subjects :
- Surface (mathematics)
Materials science
Gaussian
Abrasive
02 engineering and technology
Surfaces and Interfaces
General Chemistry
Chemical vapor deposition
Machine element
010402 general chemistry
021001 nanoscience & nanotechnology
Condensed Matter Physics
01 natural sciences
0104 chemical sciences
Surfaces, Coatings and Films
Contact angle
symbols.namesake
Monolayer
Materials Chemistry
symbols
Wetting
Composite material
0210 nano-technology
Subjects
Details
- ISSN :
- 02578972
- Volume :
- 367
- Database :
- OpenAIRE
- Journal :
- Surface and Coatings Technology
- Accession number :
- edsair.doi...........bec857be7b0ab6558bf4234535a67a8e
- Full Text :
- https://doi.org/10.1016/j.surfcoat.2019.04.015