Literature DB >> 16460095

Designing for optimum liquid repellency.

C W Extrand1.   

Abstract

In the current state-of-the-art, most super repellent surfaces are not sufficiently robust to move out of the laboratory into the commercial realm. With the hope of creating super repellent surfaces that could be employed in a wider variety of commercial applications, means to improve the robustness of ultralyophobic surfaces have been explored theoretically. Suspension pressures and drop retention forces were examined in terms of asperity shape, size, and spacing. The findings from this study suggest a strategy for creating surfaces that maintain their liquid repellency even after exposure to large hydrostatic pressures associated with liquid columns or jets.

Year:  2006        PMID: 16460095     DOI: 10.1021/la052540l

Source DB:  PubMed          Journal:  Langmuir        ISSN: 0743-7463            Impact factor:   3.882


  5 in total

1.  Towards optimization of patterned superhydrophobic surfaces.

Authors:  Bharat Bhushan; Michael Nosonovsky; Yong Chae Jung
Journal:  J R Soc Interface       Date:  2007-08-22       Impact factor: 4.118

2.  Production of Gas Diffusion Layers with Tunable Characteristics.

Authors:  Matthew F Philips; Gert-Jan M Gruter; Marc T M Koper; Klaas Jan P Schouten
Journal:  ACS Omega       Date:  2022-06-27

Review 3.  Superhydrophobic materials for biomedical applications.

Authors:  Eric J Falde; Stefan T Yohe; Yolonda L Colson; Mark W Grinstaff
Journal:  Biomaterials       Date:  2016-07-09       Impact factor: 12.479

Review 4.  A Comprehensive Review of Wetting Transition Mechanism on the Surfaces of Microstructures from Theory and Testing Methods.

Authors:  Xiao Wang; Cheng Fu; Chunlai Zhang; Zhengyao Qiu; Bo Wang
Journal:  Materials (Basel)       Date:  2022-07-06       Impact factor: 3.748

5.  3D Imaging of Water-Drop Condensation on Hydrophobic and Hydrophilic Lubricant-Impregnated Surfaces.

Authors:  Tadashi Kajiya; Frank Schellenberger; Periklis Papadopoulos; Doris Vollmer; Hans-Jürgen Butt
Journal:  Sci Rep       Date:  2016-04-04       Impact factor: 4.379

  5 in total

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