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Improved wetting model for the prediction of topography and dimensionality of superomniphobic surfaces

Nikolaos Lempesis1,2*, Aleš Janka1, Oksana Gnatiuk3, Stef J.L. van Eijndhoven3, Rudolf J. Koopmans1,2

1 College of Engineering and Architecture Fribourg HES-SO, Bd de Pérolles 80, Fribourg CH-1705, Switzerland

2 Plastics Innovation Competence Center, Passage du Cardinal 1, Fribourg CH-1700, Switzerland

3 Eindhoven University of Technology, Eindhoven 5600 MB, The Netherlands

* Corresponding authors emails: nikolaos.lempesis@hefr.ch
DOI10.24435/materialscloud:z5-ec [version v1]

Publication date: Mar 23, 2021

How to cite this record

Nikolaos Lempesis, Aleš Janka, Oksana Gnatiuk, Stef J.L. van Eijndhoven, Rudolf J. Koopmans, Improved wetting model for the prediction of topography and dimensionality of superomniphobic surfaces, Materials Cloud Archive 2021.47 (2021), doi: 10.24435/materialscloud:z5-ec.

Description

This code calculates the contact angle formed between a sessile drop of an arbitrarily defined liquid and a rough surface based on our improved Cassie-Baxter wetting model (https://doi.org/10.1088/2051-672X/ab9419). The topography of the surface needs to be predefined into the input file and may be any of the types: a) 2D pillars, b) fibers, c) sinusoids, d) 3D pillars. Although, theoretically, our model can be applied to topographies with arbitrarily large multiplicity, here the code was devised such that it considers up to three-level topographies hierarchically placed on top of one another. In the “Input” directory, three input files are given for single, two-level and three-level topographies, respectively. In multilevel topographies, the above-mentioned topography types may be combined at will. So, for example, we may have a three-level topography with sinusoidal pulses as the coarser level, fibers as the middle-level and 2D pillars as the finest level. Similarly, two-level and single-level topographies are also possible. The definitions of the multiplicity level and topography types proceed in the input file.

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Files

File name Size Description
SuperOmniphobic.tgz
MD5md5:a7e0fa4f37276286bc0368fa908564f7
805.7 KiB A compressed tarball containing the following six directories: 1) executables_&_SourceCode, 2) input_files, 3) output_files, 4) visualization, 5) Instructions and 6) Example

License

Files and data are licensed under the terms of the following license: MIT License.
Metadata, except for email addresses, are licensed under the Creative Commons Attribution Share-Alike 4.0 International license.

External references

Journal reference (Paper in which the method is derived and described)
N. Lempesis, A. Janka, O. Gnatiuk, S.J.L. van Eijndhoven, R.J. Koopmans, Surf. Topogr.: Metr. Prop. 8, 025021 (2020) doi:10.1088/2051-672X/ab9419

Keywords

Swissuniversities Wetting Superomniphobic Modelling Hydrophobic

Version history:

2021.47 (version v1) [This version] Mar 23, 2021 DOI10.24435/materialscloud:z5-ec