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Cited by 482

The DOI matches its Crossref record; 189 of the 189 references it cites were found in a registry or an index.

Science and Engineering of Superhydrophobic Surfaces: Review of Corrosion Resistance, Chemical and Mechanical Stability

Open access
Barati Darband, Gh., Aliofkhazraei, M., Khorsand, S., Sokhanvar, S., Kaboli, A.·2020·Arabian Journal of Chemistry

Abstract

Investigations on superhydrophobic surfaces (SHS) are very interesting because of their importance in many applications. One of the major applications of these SHS is to increase the corrosion resistance of surfaces exposed to corrosive environments as well as their long-term chemical stability and maintaining the superhydrophobic characteristics. Deep understanding of how to increase the corrosion resistance by SHS has a significant effect on the development of strategies to improve corrosion resistance and long-term chemical stability of these surfaces. Other important properties that limited the real use of superhydrophobic surfaces are mechanical stability. In this review article, an overview of SHS is provided, and then their fabrication methods discussed. Moreover, the corrosion resistance of these SHS fabricated by various methods and their chemical stability and mechanical stability are reviewed. -In the following, recent strategies for improvement of corrosion resistance, chemical and mechanical stability are reviewed.

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Crossref · 10.1016/j.arabjc.2018.01.013

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Metadata

Authors
Barati Darband, G., Aliofkhazraei, M., Khorsand, S., Sokhanvar, S., & Kaboli, A.
Venue
Arabian Journal of Chemistry
Published
2020-01
Volume
13
Issue
1
Pages
1763-1802
ISSN
1878-5352 (ISSN-L)
OpenAlex
W2790332517
Cited by
482
References
189
FWCI
14.48
Type
journal article
Language
en
Open access
hybrid

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The paper
Barati Darband, G., Aliofkhazraei, M., Khorsand, S., Sokhanvar, S., & Kaboli, A. (2020). Science and Engineering of Superhydrophobic Surfaces: Review of Corrosion Resistance, Chemical and Mechanical Stability. Arabian Journal of Chemistry. https://doi.org/10.1016/j.arabjc.2018.01.013

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.