Bi-Gaussian Stratified Wetting Model on Rough Surfaces
Source abstract
Abstract
Wetting mechanisms on rough surfaces were understood from either a monolayer or a multiscale perspective. However, it has recently been shown that the bi-Gaussian stratified nature of real surfaces should be accounted for when modeling mechanisms of lubrication, sealing, contact, friction, acoustic emission, and manufacture. In this work, a model combining Wenzel and Cassie theories was put forward to predict the static contact angle of a droplet on a bi-Gaussian stratified surface. The model was initially applied to numerically simulated surfaces and subsequently demonstrated on hydrophilic steel and hydrophobic self-assembled monolayer specimens with preset bi-Gaussian stratified topographies. In the Wenzel state, both the upper and the lower surface components are fully wetted. In the Cassie state, the upper component is still completely wetted, while the lower component serves as gas traps and reservoirs. By this model, wetting evolution was assessed, and the existence of different wetting states and potential state transitions was predicted.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Surface Modification and Superhydrophobicity · Adhesion, Friction, and Surface Interactions · Fluid Dynamics and Heat Transfer
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai 200240, China
Department of Mechanical Engineering, Imperial College London, London SW7 2AZ, U.K.
State Key Laboratory of Tribology, Tsinghua University, Beijing 100084, China
Funding
National Natural Science Foundation of China · China Postdoctoral Science Foundation
References (39)
Show source-provided references
1. 10.1021/la040101110.1021/la0401011 ↗
2. 10.1039/C2RA21260A10.1039/C2RA21260A ↗
3. 10.1016/j.apsusc.2011.02.05710.1016/j.apsusc.2011.02.057 ↗
4. 10.1039/C8TA06944A10.1039/C8TA06944A ↗
5. 10.1002/cphc.20070071210.1002/cphc.200700712 ↗
6. 10.1002/adma.20170465210.1002/adma.201704652 ↗
7. 10.1002/adma.20080079110.1002/adma.200800791 ↗
8. 10.1016/j.apsusc.2018.07.01710.1016/j.apsusc.2018.07.017 ↗
9. 10.1063/1.233766910.1063/1.2337669 ↗
10. 10.1016/j.porgcoat.2015.08.00210.1016/j.porgcoat.2015.08.002 ↗
11. 10.1021/ie50320a02410.1021/ie50320a024 ↗
12. 10.1039/tf944400054610.1039/tf9444000546 ↗
13. 10.1016/j.matdes.2008.04.06710.1016/j.matdes.2008.04.067 ↗
14. 10.1016/j.wear.2010.03.02910.1016/j.wear.2010.03.029 ↗
15. 10.1016/j.surfcoat.2012.06.02310.1016/j.surfcoat.2012.06.023 ↗
16. 10.1016/j.apsusc.2011.10.05110.1016/j.apsusc.2011.10.051 ↗
17. 10.1016/j.apsusc.2014.12.07110.1016/j.apsusc.2014.12.071 ↗
18. 10.1021/acs.langmuir.6b0404110.1021/acs.langmuir.6b04041 ↗
19. 10.1021/la201108810.1021/la2011088 ↗
20. 10.1021/jp304424a10.1021/jp304424a ↗
21. 10.1021/la304072p10.1021/la304072p ↗
22. 10.1039/C3TA14711H10.1039/C3TA14711H ↗
23. 10.1021/acsami.5b0187010.1021/acsami.5b01870 ↗
24. 10.1002/adma.20170491210.1002/adma.201704912 ↗
25. 10.1016/j.apsusc.2018.09.13410.1016/j.apsusc.2018.09.134 ↗
26. 10.1016/j.ijmachtools.2010.02.00710.1016/j.ijmachtools.2010.02.007 ↗
27. 10.1016/j.wear.2008.06.01510.1016/j.wear.2008.06.015 ↗
28. 10.1007/s11249-018-1071-510.1007/s11249-018-1071-5 ↗
29. 10.1016/j.triboint.2017.04.02810.1016/j.triboint.2017.04.028 ↗
30. 10.1115/1.403453110.1115/1.4034531 ↗
31. 10.1016/j.triboint.2016.05.04610.1016/j.triboint.2016.05.046 ↗
32. 10.1039/C6TA05441B10.1039/C6TA05441B ↗
33. 10.1002/anie.20100125810.1002/anie.201001258 ↗
34. 10.1126/science.125478710.1126/science.1254787 ↗
35. 10.1002/adma.20180010310.1002/adma.201800103 ↗
36. 10.1038/nmat92410.1038/nmat924 ↗
37. 10.1038/am.2012.6610.1038/am.2012.66 ↗
38. 10.1021/nl071023f10.1021/nl071023f ↗
39. 10.1021/la101663a10.1021/la101663a ↗