Wetting Characterization of Hydrophobic Opaque Surfaces and Micro Fibers

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Journal Title
Journal ISSN
Volume Title
School of Electrical Engineering | Doctoral thesis (article-based) | Defence date: 2024-06-07
Date
2024
Major/Subject
Mcode
Degree programme
Language
en
Pages
71 + app. 45
Series
Aalto University publication series DOCTORAL THESES, 101/2024
Abstract
Wetting plays a key role in everyday phenomena, from the adhesion of sand particles in sandcastles to the visibility of windshields of cars under the rain. Of particular interest are the surfaces that repel water, a.k.a. hydrophobic. Characterizing the degree of hydrophobicity is essential for the development of advanced materials, which is typically done by measuring advancing and receding contact angles. However, wetting in real surfaces is often defined by irregularly shaped solid-liquid interfaces and multiple contact angles, which are far from the idealized cases that underly most measurement techniques. While there have been significant advances in wetting characterization, techniques that accurately quantify the liquid-solid interface are lacking. Contact angle goniometry is the gold standard. However, its resolution falls short in the superhydrophobic regime, which has spurred the development of numerous alternative techniques. Despite their innovations, these are either limited to transparent surfaces, demand specialized equipment, or involve complex experimental procedures. This thesis presents new wetting characterization techniques based on a transparent droplet probe, with a focus on superhydrophobic surfaces. The methods allow quantifying the advancing and receding contact angles on flat opaque superhydrophobic and hydrophobic surfaces, as well as cylindrical soft micro fibers that are either hydrophobic or hydrophilic. Firstly, the transparent probe allows direct visualization of the contact line from which the mean advancing and receding contact angles can be measured with an experimental uncertainty as low as 0.2 °, near 180 °. Secondly, a technique based on the finite element method is described that allows measuring the contact angle along irregularly shaped contact lines. The capability is also used to map advancing and receding contact angles on micro-patterned surfaces, with an unprecedented spatial resolution of 3 μm. The technique can distinguish contact angles that vary only 1 ° between zones of the same micro-patterned surface, near 180 °. Thirdly, a force-based method is presented that allows distinguishing the two key adhesion force components acting on the wetting interface: force due to internal droplet pressure, i.e. Laplace pressure; and the force due to surface tension. The method combines the force information with top-view and side-view images to provide a full description of the droplet-sample interaction, including an alternative way to accurately estimate the contact angle near 180 °. Lastly, finite-element-method analysis is combined with side-view imaging to characterize the wetting properties of single-fibers. The method is used to estimate advancing and receding contact angles of both soft and rigid fibers, and in both hydrophilic and hydrophobic regimes.
Description
Supervising professor
Zhou, Quan, Prof., Aalto University, Department of Electrical Engineering and Automation, Finland
Thesis advisor
Ras, Robin, Prof., Aalto University, Department of Applied Physics, Finland
Keywords
wetting, surface characterization, contact line, wetting interface, superhydrophobic, droplet
Other note
Parts
  • [Publication 1]: Vieira, Arthur; Cui, Wenjuan; Jokinen, Ville; Ras, Robin H. A.; Zhou, Quan. 2023. Through-drop imaging of moving contact lines and contact areas on opaque water-repellent surfaces. Soft Matter, vol. 19, no. 13, pp. 2350–2359.
    DOI: 10.1039/d2sm01622b View at publisher
  • [Publication 2]: Vieira, Arthur; Jokinen, Ville; Lepikko, Sakari; Ras, Robin H. A.; Zhou, Quan. 2023. Through-drop imaging of liquid-solid interfaces: From contact angle variations along the droplet perimeter to mapping of contact angles across a surface. Langmuir, 04-2024.
    DOI: 10.1021/acs.langmuir.4c00414 View at publisher
  • [Publication 3]: Vieira, Arthur; Zhou, Quan. 2023. Multimodal Sensing Transparent Droplet Probe for Characterization of Superhydrophobic Surfaces. IEEE Sensors Journal, p. 1.
    DOI: 10.1109/jsen.2023.3288333 View at publisher
  • [Publication 4]: Vieira, Arthur; Vuckovac, Maja; Schlapp-Hackl, Inge; Hummel, Michael; Zhou, Quan. 2023. Droplet Probe for Characterization of Advancing and Receding Contact Angles of Single Fibers. IEEE eXpress, MARSS 2023.
    DOI: 10.1109/MARSS58567.2023.10294124 View at publisher
Citation