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Published on: October 21, 2018
Computation of contact lines on randomly heterogeneous surfaces
Robert David1, A Wilhelm Neumann
1Department of Mechanical & Industrial Engineering, University of Toronto, 5 King's College Road, Room MB56 Toronto, ON, Canada M5S 3G8. robertd@mie.utoronto.ca
Simulating liquid wetting on complex surfaces is now possible. This new computational method predicts contact line behavior on chemically varied 2D surfaces, revealing realistic wetting phenomena like hysteresis.
Area of Science:
- Surface Science
- Computational Physics
- Materials Science
Background:
- Idealized models (Young's equation) fail for real surfaces.
- Previous simulations limited to simple 1D or regular patterns.
- Chemical heterogeneity significantly impacts liquid wetting.
Purpose of the Study:
- Develop a computational method for wetting on 2D heterogeneous surfaces.
- Model arbitrary chemical patterns.
- Predict advancing and receding contact lines.
Main Methods:
- Developed a novel computational approach.
- Simulated wetting on surfaces with varied chemical heterogeneity.
- Verified results against analytical solutions for simpler cases.
Main Results:
- Observed realistic contact angle scatter, hysteresis, and stick-slip motion.
- Hysteresis correlates with defect density, plateauing at high densities.
- Successfully modeled random high-energy defects.
Conclusions:
- The method accurately predicts wetting on diverse heterogeneous surfaces.
- Provides insights into the relationship between surface chemistry and wetting behavior.
- Enables prediction of wetting from fundamental surface properties.
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