Source abstract
Abstract
High Resolution Image Download MS PowerPoint Slide Dynamic wettability is essential for various applications in biology and technology. Conventional optical-based contact angle methods, such as sessile-drop goniometry and tilting-plate techniques, suffer from difficulties in baseline determination and inconsistencies in surface topography. Moreover, they frequently neglect the critical influence of micro/nanostructures, thereby hindering the advancement of liquid-repellent surfaces. Here, we demonstrate a normal force-based method to accurately quantify dynamic wettability via a characteristic parameter, K, which is derived from force curves during the dynamic receding state of the contact line. This force-derivation method avoids optical distortion, accounts for droplet compression, and accurately classifies surfaces into Wenzel, Cassie, and combined states. We demonstrate that K arises from the interplay of normal force, surface energy, and adhesion work, being exclusively dependent on the liquid–solid interface. Validated across diverse artificial and natural substrates, it is crucial for applications in the self-cleaning industry and agricultural spray and related to impact dynamics, enabling the prediction of rebound ability with high resolution.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Surface Modification and Superhydrophobicity · Fluid Dynamics and Heat Transfer · Adhesion, Friction, and Surface Interactions
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Affiliations
Laboratory of Bio-inspired Materials and Interfacial Sciences, Technical Institute of Physics and Chemistry
Chinese Academy of Sciences
School of Future Technology
University of Chinese Academy of Sciences
State Key Laboratory of Bioinspired Interfacial Materials Science, Suzhou Institute for Advanced Research
University of Science and Technology of China
Department of Applied Chemistry, School of Chemistry and Materials Science
Funding
China Association for Science and Technology · National Key Research and Development Program of China · National Natural Science Foundation of China
References (46)
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