Prediction of Droplet Sliding on the Continuity of the Three-Phase Contact Line
Source abstract
Abstract
Many animals and plants have evolved wonderful hydrophobic abilities to adapt to the complex climate environment. The microstructure design of a superhydrophobic surface focuses on bionics and will be restricted by processing technology. Although certain functions can be achieved, there is a lack of unified conclusion on the wetting mechanism and a few quantitative analyses of the continuity of the three-phase contact line. Therefore, the relationship between the surface microstructure of the lattice pattern and the critical sliding angle of the water droplet in the Cassie state was investigated in this paper, and we proposed a method to quantitatively analyze the continuity of the three-phase contact line by a dimensionless length f. The results showed that the three-phase contact line was an important factor to determine the sliding performance of the droplet. The upward traction force generated by the surface tension through the force analysis on the three-phase contact line can enhance the sliding ability of the droplet on the solid surface. There was a good negative linear correlation between the critical sliding angle and dimensionless length, which provided a guiding basis for the optimal design of superhydrophobic surfaces.
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
College of Mechanical and Electrical Engineering, Jiangxi University of Science and Technology, Ganzhou 341000, China
National Key Laboratory for Remanufacturing, Army Academy of Armored Forces, Beijing 100072, China
National Engineering Research Center for Remanufacturing, Army Academy of Armored Forces, Beijing 100072, China
Funding
National Defense Science and Technology Foundation
References (32)
Show source-provided references
1. 10.1021/acs.jpcb.9b0856710.1021/acs.jpcb.9b08567 ↗
2. 10.1021/acs.langmuir.0c0180110.1021/acs.langmuir.0c01801 ↗
3. 10.1007/s11434-009-0029-210.1007/s11434-009-0029-2 ↗
4. 10.3390/colloids501000810.3390/colloids5010008 ↗
5. 10.1021/acs.jpcb.0c0275710.1021/acs.jpcb.0c02757 ↗
6. 10.1021/acs.langmuir.9b0298410.1021/acs.langmuir.9b02984 ↗
7. 10.1021/acsami.0c2173610.1021/acsami.0c21736 ↗
8. 10.1016/j.surfrep.2014.09.00110.1016/j.surfrep.2014.09.001 ↗
9. 10.1021/acs.langmuir.1c0070210.1021/acs.langmuir.1c00702 ↗
10. 10.1016/j.colsurfa.2021.12630710.1016/j.colsurfa.2021.126307 ↗
11. 10.1088/0953-8984/20/22/22501010.1088/0953-8984/20/22/225010 ↗
12. 10.1016/j.colsurfa.2020.12525310.1016/j.colsurfa.2020.125253 ↗
13. 10.1021/acs.langmuir.0c0080810.1021/acs.langmuir.0c00808 ↗
14. 10.1103/PhysRevLett.116.09610110.1103/PhysRevLett.116.096101 ↗
15. 10.1039/C8TA09403A10.1039/C8TA09403A ↗
16. 10.1103/PhysRevE.97.04280110.1103/PhysRevE.97.042801 ↗
17. 10.1021/la500277n10.1021/la500277n ↗
18. 10.1016/j.surfcoat.2020.12626710.1016/j.surfcoat.2020.126267 ↗
19. 10.1016/j.matdes.2019.10783910.1016/j.matdes.2019.107839 ↗
20. 10.1016/j.ijheatmasstransfer.2019.01.14710.1016/j.ijheatmasstransfer.2019.01.147 ↗
21. 10.1016/j.cej.2019.03.19110.1016/j.cej.2019.03.191 ↗
22. 10.1016/j.micron.2018.01.01310.1016/j.micron.2018.01.013 ↗
23. 10.1021/la026835010.1021/la0268350 ↗
24. 10.1021/jp501008310.1021/jp5010083 ↗
25. 10.1021/acs.langmuir.0c0160110.1021/acs.langmuir.0c01601 ↗
26. 10.1039/D0SM00766H10.1039/D0SM00766H ↗
27. 10.1021/acs.langmuir.1c0067610.1021/acs.langmuir.1c00676 ↗
28. 10.1021/acsami.9b0794110.1021/acsami.9b07941 ↗
29. 10.1021/acsnano.0c0384910.1021/acsnano.0c03849 ↗
30. 10.1016/j.colsurfa.2019.12408310.1016/j.colsurfa.2019.124083 ↗
31. 10.1016/j.jcis.2019.03.02610.1016/j.jcis.2019.03.026 ↗
32. 10.1039/c3cc47818a10.1039/c3cc47818a ↗