A Study of the Truncated Square Pyramid Geometry for Enhancement of Super-hydrophobicity

doi:10.1007/s42235-020-0070-z

A Study of the Truncated Square Pyramid Geometry for Enhancement of Super-hydrophobicity

Contributors

W. Gong
Other

Y. Wang
Other

Y. Chen
Other

XIAOHANG LI XIAOHANG.LI@NOTTINGHAM.AC.UK
Other

KE LI Ke.Li2@nottingham.ac.uk
Other

Z. Wang
Other

YUYING YAN YUYING.YAN@NOTTINGHAM.AC.UK
Other

Abstract

Super-hydrophobic surfaces are quite common in nature, inspiring people to continually explore its water-repellence property and applications to our lives. It has been generally agreed that the property of super-hydrophobicity is mainly contributed by the microscale or nanoscale (or even smaller) architecture on the surface. Besides, there is an energy barrier between the Cassie-Baxter wetting state and the Wenzel wetting state. An optimized square post micro structure with truncated square pyramid geometry is introduced in this work to increase the energy barrier, enhancing the robustness of super-hydrophobicity. Theoretical analysis is conducted based on the wetting transition energy curves. Numerical simulation based on a phase-field lattice Boltzmann method is carried out to verify the theoretical analysis. The numerical simulation agrees well with the theoretical analysis, showing the positive significance of the proposed micro structure. Furthermore, another novel micro structure of rough surface is presented, which combines the advantages of truncated pyramid geometry and noncommunicating roughness elements. Theoretical analysis shows that the novel micro structure of rough surface can effectively hinder the Cassie-Baxter state to Wenzel state transition, furtherly enhancing the robustness of the surface hydrophobicity.

Citation

(2020). A Study of the Truncated Square Pyramid Geometry for Enhancement of Super-hydrophobicity. Journal of Bionic Engineering, 17, Article 843-850. https://doi.org/10.1007/s42235-020-0070-z

Journal Article Type	Article
Online Publication Date	Jul 18, 2020
Publication Date	2020-07
Deposit Date	Dec 7, 2023
Publicly Available Date	Dec 7, 2023
Journal	Journal of Bionic Engineering
Print ISSN	1672-6529
Publisher	Elsevier
Peer Reviewed	Peer Reviewed
Volume	17
Article Number	843-850
DOI	https://doi.org/10.1007/s42235-020-0070-z
Public URL	https://nottingham-repository.worktribe.com/output/25647047
Publisher URL	https://link.springer.com/article/10.1007/s42235-020-0070-z

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