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Wetting boundary scheme implemented in three-dimensional phase-field lattice Boltzmann model with large density
Changli Wang1, Chengjie Zhan2, Zhenhua Chai2
1Huazhong University of Science and Technology, School of Mechanical Science and Engineering, Wuhan 430074, People's Republic of China.
This study introduces a new wetting boundary scheme for phase-field lattice Boltzmann (LB) simulations. The method accurately models gas-liquid-solid flows with large density ratios on complex 3D surfaces.
Area of Science:
- Computational Fluid Dynamics
- Multiphase Flow Simulation
- Phase-Field Modeling
Background:
- Simulating gas-liquid-solid systems with large density ratios presents challenges, particularly in accurately handling three-dimensional curved solid surfaces.
- Existing phase-field lattice Boltzmann (LB) methods struggle with systematic and precise treatment of complex geometries.
Purpose of the Study:
- To develop and validate a novel wetting boundary scheme for the phase-field LB method.
- To enable accurate simulation of multiphase flows with high density ratios (up to 1000) involving complex solid surfaces.
- To explore new wetting dynamics phenomena.
Main Methods:
- Developed a phase-field LB model capable of handling density ratios up to 1000.
- Employed a free-energy approach to identify solid boundary locations and normal vectors.
- Implemented spatially dependent interpolation schemes to impose wetting conditions.
Main Results:
- Validated the proposed method using benchmark cases: droplet on a sphere, capillary rise in tubes, and droplet on conical fibers.
- Demonstrated high accuracy in simulating both static and dynamic wetting processes.
- Successfully handled arbitrarily complex three-dimensional curved surfaces.
- Observed two novel power-law behaviors in droplet dynamics on conical fibers.
Conclusions:
- The proposed wetting boundary scheme effectively addresses limitations in simulating gas-liquid-solid flows with large density ratios and complex geometries.
- The method achieves high accuracy and robustness for diverse wetting scenarios.
- The model shows potential for discovering new phenomena in wetting dynamics.
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