Numerical study of wetting transitions on biomimetic surfaces using a lattice Boltzmann approach with large density ratio
The hydrophobicity of natural surfaces have drawn much attention of scientific communities in recent years. By mimicking natural surfaces, the manufactured biomimetic hydrophobic surfaces have been widely applied to green technologies such as self-cleaning surfaces. Although the theories for wetting...
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| Format: | Article |
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Elsevier
2017
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| Online Access: | https://eprints.nottingham.ac.uk/46278/ |
| _version_ | 1848797293346553856 |
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| author | Gong, Wei Yan, Yuying Chen, Sheng Giddings, Donald |
| author_facet | Gong, Wei Yan, Yuying Chen, Sheng Giddings, Donald |
| author_sort | Gong, Wei |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | The hydrophobicity of natural surfaces have drawn much attention of scientific communities in recent years. By mimicking natural surfaces, the manufactured biomimetic hydrophobic surfaces have been widely applied to green technologies such as self-cleaning surfaces. Although the theories for wetting and hydrophobicity have been developed, the mechanism of wetting transitions between heterogeneous wetting state and homogeneous wetting state is still not fully clarified. As understanding of wetting transitions is crucial for manufacturing a biomimetic superhydrophobic surface, more fundamental discussions in this area should be carried out. In the present work the wetting transitions are numerically studied using a phase field lattice Boltzmann approach with large density ratio, which should be helpful in understanding the mechanism of wetting transitions. The dynamic wetting transition processes between Cassie-Baxter state and Wenzel state are presented, and the energy barrier and the gravity effect on transition are discussed. It is found that the two wetting transition processes are irreversible for specific inherent contact angles and have different transition routes, the energy barrier exists on an ideally patterned surface and the gravity can be crucial to overcome the energy barrier and trigger the transition. |
| first_indexed | 2025-11-14T20:01:34Z |
| format | Article |
| id | nottingham-46278 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T20:01:34Z |
| publishDate | 2017 |
| publisher | Elsevier |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-462782020-05-04T18:55:28Z https://eprints.nottingham.ac.uk/46278/ Numerical study of wetting transitions on biomimetic surfaces using a lattice Boltzmann approach with large density ratio Gong, Wei Yan, Yuying Chen, Sheng Giddings, Donald The hydrophobicity of natural surfaces have drawn much attention of scientific communities in recent years. By mimicking natural surfaces, the manufactured biomimetic hydrophobic surfaces have been widely applied to green technologies such as self-cleaning surfaces. Although the theories for wetting and hydrophobicity have been developed, the mechanism of wetting transitions between heterogeneous wetting state and homogeneous wetting state is still not fully clarified. As understanding of wetting transitions is crucial for manufacturing a biomimetic superhydrophobic surface, more fundamental discussions in this area should be carried out. In the present work the wetting transitions are numerically studied using a phase field lattice Boltzmann approach with large density ratio, which should be helpful in understanding the mechanism of wetting transitions. The dynamic wetting transition processes between Cassie-Baxter state and Wenzel state are presented, and the energy barrier and the gravity effect on transition are discussed. It is found that the two wetting transition processes are irreversible for specific inherent contact angles and have different transition routes, the energy barrier exists on an ideally patterned surface and the gravity can be crucial to overcome the energy barrier and trigger the transition. Elsevier 2017-07-14 Article PeerReviewed Gong, Wei, Yan, Yuying, Chen, Sheng and Giddings, Donald (2017) Numerical study of wetting transitions on biomimetic surfaces using a lattice Boltzmann approach with large density ratio. Journal of Bionic Engineering, 14 (3). pp. 486-496. ISSN 1672-6529 Wetting transitions biomimetic surfaces energy barrier gravity effect numerical study lattice Boltzmann method http://www.sciencedirect.com/science/article/pii/S1672652916604146 doi:10.1016/S1672-6529(16)60414-6 doi:10.1016/S1672-6529(16)60414-6 |
| spellingShingle | Wetting transitions biomimetic surfaces energy barrier gravity effect numerical study lattice Boltzmann method Gong, Wei Yan, Yuying Chen, Sheng Giddings, Donald Numerical study of wetting transitions on biomimetic surfaces using a lattice Boltzmann approach with large density ratio |
| title | Numerical study of wetting transitions on biomimetic surfaces using a lattice Boltzmann approach with large density ratio |
| title_full | Numerical study of wetting transitions on biomimetic surfaces using a lattice Boltzmann approach with large density ratio |
| title_fullStr | Numerical study of wetting transitions on biomimetic surfaces using a lattice Boltzmann approach with large density ratio |
| title_full_unstemmed | Numerical study of wetting transitions on biomimetic surfaces using a lattice Boltzmann approach with large density ratio |
| title_short | Numerical study of wetting transitions on biomimetic surfaces using a lattice Boltzmann approach with large density ratio |
| title_sort | numerical study of wetting transitions on biomimetic surfaces using a lattice boltzmann approach with large density ratio |
| topic | Wetting transitions biomimetic surfaces energy barrier gravity effect numerical study lattice Boltzmann method |
| url | https://eprints.nottingham.ac.uk/46278/ https://eprints.nottingham.ac.uk/46278/ https://eprints.nottingham.ac.uk/46278/ |