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Quantifying Wetting Dynamics with Triboelectrification

Authors: Zhang, Xiaolong; Scaraggi, Michele; Zheng, Youbin; Li, Xiaojuan; Wu, Yang; Wang, Daoai; Dini, Daniele; +1 Authors

Quantifying Wetting Dynamics with Triboelectrification

Abstract

AbstractWetting is often perceived as an intrinsic surface property of materials, but determining its evolution is complicated by its complex dependence on roughness across the scales. The Wenzel (W) state, where liquids have intimate contact with the rough surfaces, and the Cassie–Baxter (CB) state, where liquids sit onto air pockets formed between asperities, are only two states among the plethora of wetting behaviors. Furthermore, transitions from the CB to the Wenzel state dictate completely different surface performance, such as anti‐contamination, anti‐icing, drag reduction etc.; however, little is known about how transition occurs during time between the several wetting modes. In this paper, wetting dynamics can be accurately quantified and tracked using solid–liquid triboelectrification. Theoretical underpinning reveals how surface micro‐/nano‐geometries regulate stability/infiltration, also demonstrating the generality of the authors’ theoretical approach in understanding wetting transitions. It can clarify the functioning behavior of materials in real environment.

Countries
United Kingdom, Italy
Related Organizations
Keywords

Chemical Physics (physics.chem-ph), Condensed Matter - Materials Science, triboelectricity, Science, Q, hierarchical topography, Materials Science (cond-mat.mtrl-sci), FOS: Physical sciences, TENG, Physics - Applied Physics, Applied Physics (physics.app-ph), Condensed Matter - Soft Condensed Matter, 530, TENG, Wetting dynamics, hierarchical topography, infiltration dynamics, super-hydrophobicity, theory, triboelectricity, super‐hydrophobicity, Physics - Chemical Physics, infiltration dynamics, Soft Condensed Matter (cond-mat.soft), theory, Research Articles

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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
10
Top 10%
Average
Top 10%
Green
gold