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Published on: March 27, 2019
Theoretical model for the wetting of a rough surface
K M Hay1, M I Dragila, J Liburdy
1Department of Physics, Oregon State University, Corvallis, OR, USA. hayk@onid.orst.edu
Surface roughness significantly impacts fluid spreading on surfaces, influencing hydrophobic and hydrophilic behaviors. A new model explains fluid invasion into rough surfaces, predicting spreading based on surface geometry and fluid properties.
Area of Science:
- Fluid dynamics
- Surface science
- Geophysics
Background:
- Understanding fluid movement on rough surfaces is crucial for applications like contaminant transport in rock fractures.
- Surface roughness is known to enhance both hydrophobic and hydrophilic fluid behaviors, affecting spreading dynamics.
Purpose of the Study:
- To theoretically investigate the influence of surface roughness on fluid spreading mechanisms.
- To develop a model classifying fluid spreading regimes on rough surfaces.
- To derive an analytical equation for fluid invasion into roughness.
Main Methods:
- A theoretical model was developed, classifying spreading into microscopic, mesoscopic, and macroscopic regimes.
- An analytical equation was derived based on the balance of capillary and frictional forces.
- Viscous dissipation estimation methods were compared against experimental data for fluid rise on roughness.
Main Results:
- The study identified three spreading regimes: microscopic precursor film, mesoscopic invasion, and macroscopic reaction.
- An analytical solution predicts fluid movement with a square root of time dependence, akin to diffusion.
- Accurate accounting for roughness shape, particularly using a hydraulic diameter approximation, best explains experimental data.
Conclusions:
- The developed theory highlights a critical contact angle dependent on roughness geometry, determining spreading or resistance.
- The findings provide a framework for predicting fluid invasion dynamics in unsaturated rough-walled fractures.
- Improved models for viscous dissipation, considering detailed roughness, enhance the accuracy of fluid spreading predictions.
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