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Title: Pore-scale simulation of drying in porous media using a hybrid lattice Boltzmann: pore network model

Journal Article · · Drying Technology
 [1];  [1]; ORCiD logo [2];  [3];  [1]
  1. Eidgenoessische Technische Hochschule (ETH), Zurich (Switzerland)
  2. Los Alamos National Lab. (LANL), Los Alamos, NM (United States). Earth and Environmental Sciences Division
  3. Univ. of Sherbrooke, QC (Canada)

In this work, a hybrid method coupling a pseudo-potential lattice Boltzmann model (LBM) and a pore network model (PNM) to simulate drying in porous media is proposed. Based on the watershed method, the porous medium is firstly decomposed into pore regions. According to the liquid–vapor phase distribution at a given time, the pore regions are further divided into four pore types, namely two-phase pores where a liquid–vapor interface exists, buffer pores next to the two-phase pores, single-liquid and single-vapor phase pores. The pseudo-potential LBM is used in the two-phase and buffer pores to simulate liquid drying and track the movement of the interfaces, while the single-phase PNM simulations are conducted in the buffer and single-phase pores to simulate vapor or liquid flow. LBM and PNM are coupled in the buffer pores through exchange of boundary information. The hybrid method is applied to simulate liquid drying in a porous medium. The whole-domain LBM simulation is considered as the reference solution to validate the hybrid method. Liquid saturation variation during the drying process and detailed phase and pressure distributions obtained by the two methods match quite well, demonstrating the accuracy of the hybrid method. For the specific case studied, the hybrid method saves more than 60% computational time compared to the whole-domain LBM simulation. In addition, the speedup of the hybrid method becomes more significant for a larger computational domain. In summary, the hybrid method developed in this work combines the accuracy of LBM and the efficiency of PNM to simulate drying in porous media at pore scale and can lead to significant reduction of computation time, thus allowing the pore-scale consideration of drying in larger porous systems.

Research Organization:
Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
Sponsoring Organization:
USDOE Laboratory Directed Research and Development (LDRD) Program; Swiss National Science Foundation (SNSF); Swiss National Super Computing Center
Grant/Contract Number:
89233218CNA000001; 175793; s823
OSTI ID:
1890975
Report Number(s):
LA-UR-21-20066
Journal Information:
Drying Technology, Vol. 40, Issue 4; ISSN 0737-3937
Publisher:
Taylor & FrancisCopyright Statement
Country of Publication:
United States
Language:
English

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