Journal ArticleDOI
Maximal deformation of an impacting drop
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In this article, the impact of a liquid drop of low viscosity on a super-hydrophobic surface was studied. But the authors focused on the effect of the drop on the spread of the liquid on the surface.Abstract:
We first study the impact of a liquid drop of low viscosity on a super-hydrophobic surface. Denoting the drop size and speed as are the liquid density and surface tension). This law is also observed to hold on partially wettable surfaces, provided that liquids of low viscosity (such as water) are used. The law is interpreted as resulting from the effective acceleration experienced by the drop during its impact. Viscous drops are also analysed, allowing us to propose a criterion for predicting if the spreading is limited by capillarity, or by viscosity.read more
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Journal ArticleDOI
Adverse Impact of Macro-textured Superhydrophobicity on Contact Time Reduction at High Weber Numbers
TL;DR: In this paper , the presence of ribs is found to reduce the nucleation inception and nucleation density resulting in higher contact time compared to the non-ribbed superhydrophobic surfaces.
Proceedings ArticleDOI
Experimental analysis of high weber number drop impact onto super-hydrophobic and hydrophobic surfaces
Effect of Contact Line Pinning on Maximum Spreading of Liquid Drop Impacted onto Groove-Textured Surfaces
V. Vaikuntanathan,D. Sivakumar +1 more
TL;DR: In this paper, the role of contact line pinning on roughness asp erities of target surfaces in the maximum spreading diameter of an impacting liquid drop has been investigated, and the model predictions clearly capture the experimental observation of a reduction in maximum drop spreading in the direction perpendicular to the grooves compared to that on smooth surfaces and its trend with respect to the drop impact cases studied here.
Book ChapterDOI
Impingement of Aviation Fuel Drop on Stainless Steel Surface
TL;DR: In this paper, high speed digital imaging as well as video microscopy is employed to study the various characteristics of the interaction process, including power dependence of spread factor on time and the average rate of spreading during the spreading phase, maximum spread, and the time taken for attaining maximum spread.
Journal ArticleDOI
Prediction of the morphological evolution of a splashing drop using an encoder–decoder
TL;DR: In this paper , the authors used an encoder-decoder architecture to predict the drop morphologies using image data and showed that the trained encoderdecoder is able to successfully generate videos that show the morphologies of splashing and non-splashing drops.