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Image analysis of P...
Image analysis of PDMS/ZnO nanocomposite surfaces for optimized superhydrophobic and self-cleaning surface design
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- Mendoza, Ana (author)
- KTH,Fiber- och polymerteknologi
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- Larroche, Pierre (author)
- KTH,Fiber- och polymerteknologi
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- Nilsson, Fritjof (author)
- KTH,Mittuniversitetet,Institutionen för naturvetenskap, design och hållbar utveckling (2023-),FSCN,Polymera material
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- Hedenqvist, Mikael S. (author)
- KTH,Polymera material
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- Strömberg, Emma (author)
- KTH,Fiber- och polymerteknologi
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- Hillborg, H. (author)
- Hitachi Energy Research, Sweden,Hitachi Energy Res, S-72178 Västerås, Sweden.
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- Moriana Torro, Rosana (author)
- KTH,RISE,University of Valencia, Spain; KTH Royal Institute of Technology, Sweden,Polymera material
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(creator_code:org_t)
- Elsevier B.V. 2023
- 2023
- English.
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In: Surfaces and Interfaces. - : Elsevier B.V.. - 2468-0230. ; 37
- Related links:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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https://urn.kb.se/re...
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Abstract
Subject headings
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- 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.
Subject headings
- TEKNIK OCH TEKNOLOGIER -- Kemiteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Chemical Engineering (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Kemiteknik -- Polymerteknologi (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Chemical Engineering -- Polymer Technologies (hsv//eng)
Keyword
- Octadecanethiol
- Octadecylphosphonic acid
- PDMS
- Self-cleaning
- Superhydrophobicity
- ZnO nanoparticles
Publication and Content Type
- ref (subject category)
- art (subject category)
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