Self-similarity of contact line depinning from textured surfaces

The mobility of drops on surfaces is important in many biological and industrial processes, but the phenomena governing their adhesion, which is dictated by the morphology of the three-phase contact line, remain unclear. Here we describe a technique for measuring the dynamic behaviour of the three-p...

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Bibliographic Details
Main Authors: Paxson, Adam T. (Contributor), Varanasi, Kripa K. (Contributor)
Other Authors: Massachusetts Institute of Technology. Department of Mechanical Engineering (Contributor)
Format: Article
Language:English
Published: Nature Publishing Group, 2013-11-25T18:34:46Z.
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Online Access:Get fulltext
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100 1 0 |a Paxson, Adam T.  |e author 
100 1 0 |a Massachusetts Institute of Technology. Department of Mechanical Engineering  |e contributor 
100 1 0 |a Paxson, Adam T.  |e contributor 
100 1 0 |a Varanasi, Kripa K.  |e contributor 
700 1 0 |a Varanasi, Kripa K.  |e author 
245 0 0 |a Self-similarity of contact line depinning from textured surfaces 
260 |b Nature Publishing Group,   |c 2013-11-25T18:34:46Z. 
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520 |a The mobility of drops on surfaces is important in many biological and industrial processes, but the phenomena governing their adhesion, which is dictated by the morphology of the three-phase contact line, remain unclear. Here we describe a technique for measuring the dynamic behaviour of the three-phase contact line at micron length scales using environmental scanning electron microscopy. We examine a superhydrophobic surface on which a drop's adhesion is governed by capillary bridges at the receding contact line. We measure the microscale receding contact angle of each bridge and show that the Gibbs criterion is satisfied at the microscale. We reveal a hitherto unknown self-similar depinning mechanism that shows how some hierarchical textures such as lotus leaves lead to reduced pinning, and counter-intuitively, how some lead to increased pinning. We develop a model to predict adhesion force and experimentally verify the model's broad applicability on both synthetic and natural textured surfaces. 
520 |a National Science Foundation (U.S.) (CAREER Award 0952564) 
520 |a DuPont MIT Alliance 
520 |a National Science Foundation (U.S.). Graduate Research Fellowship Program 
520 |a National Science Foundation (U.S.) (Award ECS-0335765) 
546 |a en_US 
655 7 |a Article 
773 |t Nature Communications