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Image analysis of PDMS/ZnO nanocomposite surfaces for optimized superhydrophobic and self-cleaning surface design
KTH Royal Institute of Technology, Sweden.
KTH Royal Institute of Technology, Sweden.
KTH Royal Institute of Technology, Sweden; Mid Sweden University, Sweden.
KTH Royal Institute of Technology, Sweden.
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2023 (English)In: Surfaces and Interfaces, ISSN 2468-0230, Vol. 37, article id 102733Article in journal (Refereed) Published
Abstract [en]

Optimized superhydrophobic and self-cleaning nanocomposite surfaces were obtained by spraying surface modified ZnO nanoparticles (NPs) onto PDMS, using octadecylphosphonic acid and octadecanethiol as hydrophobic modifiers. In this study, it is the first time to our knowledge that surface parameters such as topography, morphology, superhydrophobicity, and self-cleaning are correlated to particle surface distribution and agglomeration parameters obtained by image analysis. The topography, morphology, and wettability of the surfaces were analyzed using atomic force microscopy, scanning electron microscopy, static contact angle (SCA), and contact angle hysteresis measurements. Image analysis was performed using the new enhanced graphical user interface of a previously self-developed Matlab® algorithm. Both hydrophobization methodologies increased the NPs’ surface coverage and the hierarchical rough structure formation on the substrates, resulting in more homogenous superhydrophobic self-cleaning surfaces. A higher coated fraction and lower degree of interconnected uncoated PDMS paths are correlated to an increase in SCA. The combination of a higher agglomerates fraction, lower agglomerate radius, and lower distance between agglomerates obtained for the surfaces with hydrophobized ZnO-NPs rendered self-cleaning surfaces. The observed correlations increase the understanding of the design and modelling of superhydrophobic self-cleaning PDMS/ZnO nanocomposite surfaces for use in high voltage outdoor insulators. 

Place, publisher, year, edition, pages
Elsevier B.V. , 2023. Vol. 37, article id 102733
Keywords [en]
Octadecanethiol, Octadecylphosphonic acid, PDMS, Self-cleaning, Superhydrophobicity, ZnO nanoparticles
National Category
Chemical Engineering
Identifiers
URN: urn:nbn:se:ri:diva-64097DOI: 10.1016/j.surfin.2023.102733Scopus ID: 2-s2.0-85147999697OAI: oai:DiVA.org:ri-64097DiVA, id: diva2:1740152
Note

Correspondence Address: Moriana R, RISE, Sweden;

Funding details: 37820-1; Funding details: Ministerio de Ciencia, Innovación y Universidades, MCIU, RYC2021-034380-I; Funding details: Kungliga Tekniska Högskolan, KTH; Funding details: Energimyndigheten, 38432-1; Funding details: Ministerio de Ciencia e Innovación, MICINN; Funding details: Agencia Estatal de Investigación, AEI; Funding text 1: Funding: The authors gratefully acknowledge financial support from Energimyndigheten , Elforsk, and ABB AB through the Elektra program with project number 37820-1 . ABB AB and the Swedish Energy Agency through SweGRIDS (the Swedish Centre for Smart Grids and Energy Storage) are also gratefully acknowledged (project number 38432-1). The authors would also like to thank Mr.Yacoub El Ghoul, from Polytech University of Lyon, for his contribution in the creation of the videos, as well as Mr. Billy W. Hoogendoorn and Ms. Sirui Liu, from KTH - Royal Institute of Technology, for their assistance in the EDS and Raman characterization, respectively. R Moriana aknowledges Ministerio de Ciencia, Innovación y Universidades, Spain, for financial support for his RyC position (Grant RYC2021-034380-I funded by MCIN/AEI/ 10.13039/501100011033 and by “European Union NextGenerationEU/PRTR”).; Funding text 2: Funding: The authors gratefully acknowledge financial support from Energimyndigheten, Elforsk, and ABB AB through the Elektra program with project number 37820-1. ABB AB and the Swedish Energy Agency through SweGRIDS (the Swedish Centre for Smart Grids and Energy Storage) are also gratefully acknowledged (project number 38432-1). The authors would also like to thank Mr.Yacoub El Ghoul, from Polytech University of Lyon, for his contribution in the creation of the videos, as well as Mr. Billy W. Hoogendoorn and Ms. Sirui Liu, from KTH - Royal Institute of Technology, for their assistance in the EDS and Raman characterization, respectively. R Moriana aknowledges Ministerio de Ciencia, Innovación y Universidades, Spain, for financial support for his RyC position (Grant RYC2021-034380-I funded by MCIN/AEI/ 10.13039/501100011033 and by “European Union NextGenerationEU/PRTR”).

Available from: 2023-02-28 Created: 2023-02-28 Last updated: 2023-02-28Bibliographically approved

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