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Published on: July 26, 2016
An energy-based equilibrium contact angle boundary condition on jagged surfaces for phase-field methods
Florian Frank1, Chen Liu2, Alessio Scanziani3
1Friedrich-Alexander University Erlangen-Nürnberg, Department of Mathematics, Cauerstraße 11, 91058 Erlangen, Germany.
We developed a method to accurately simulate wetting angles in porous rock using phase-field models on voxel data. Our approach corrects for surface roughness in micro-computed tomography (μCT) data, improving simulation accuracy.
Area of Science:
- Computational physics and materials science.
- Multiphase flow and porous media research.
Background:
- Voxel-based computational domains from micro-computed tomography (μCT) imaging of porous rock present challenges for phase-field models.
- Jagged surfaces in voxel approximations amplify errors in prescribed wetting angles for Cahn-Hilliard-Navier-Stokes models.
Purpose of the Study:
- To introduce an energy-based boundary condition for imposing equilibrium wetting angles in phase-field models on voxel-set domains.
- To develop a method to correct for surface roughness artifacts in μCT-derived computational domains.
Main Methods:
- An energy-based boundary condition was applied to the Cahn-Hilliard-Navier-Stokes phase-field model.
- Surface energy correction factors were introduced for fluid-solid voxel faces to account for surface area discrepancies.
- The discontinuous Galerkin method was used for discretizing model equations.
Main Results:
- The proposed correction factors effectively counterbalance the difference between voxel-set surface area and the underlying smooth surface area.
- The method ensures accurate simulation of wetting angles even on jagged voxel surfaces.
- The semi-analytical approach is adaptable to various numerical methods.
Conclusions:
- The developed surface energy correction method accurately imposes equilibrium wetting angles on voxel-based domains.
- This approach enhances the reliability of phase-field simulations for porous media derived from μCT data.
- The technique offers a robust solution for accurately modeling fluid-solid interactions in complex geometries.
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