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Gas slippage effect on microscale porous flow using the lattice Boltzmann method
1State Key Laboratory of Multiphase Flow, School of Energy and Power Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi 710049, China. ghtang@mail.xjtu.edu.cn
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|December 31, 2005
Summary
Gas slippage increases permeability in microscale porous media. Rarefaction effects are significant in low-porosity structures, necessitating advanced models for accurate pressure drop prediction.
Area of Science:
- Fluid dynamics
- Porous media physics
- Computational physics
Background:
- Gaseous flow in microscale porous media exhibits complex behavior influenced by rarefaction.
- Understanding gas slippage and its impact on permeability is crucial for accurate modeling.
- Existing models may not fully capture the effects of high Knudsen numbers.
Purpose of the Study:
- To develop and apply a lattice Boltzmann method for simulating gaseous slip flow at the pore scale.
- To investigate the influence of Knudsen numbers and pressure ratios on flow characteristics.
- To present a refined model for predicting pressure drop in microscale porous media.
Main Methods:
- Development of a lattice Boltzmann method for pore-scale simulations.
- Analysis of flow through diverse microscale porous geometries.
- Study of varying Knudsen numbers and inlet to outlet pressure ratios.
- Validation against the Klinkenberg equation and extension for higher Knudsen numbers.
Main Results:
- Gas permeability is enhanced by gas slippage, exceeding absolute permeability.
- The impact of rarefaction on gas permeability is more pronounced in low-porosity media.
- The Klinkenberg equation is validated, but the Kn2 term is essential for high Knudsen numbers.
- A new model for pressure drop prediction incorporating rarefaction and compressibility is proposed.
Conclusions:
- Lattice Boltzmann method effectively captures gaseous slip flow phenomena at the pore scale.
- Gas slippage significantly alters permeability, particularly in low-porosity porous media.
- Accurate modeling of microscale porous media flow requires considering higher-order rarefaction effects and compressibility.