Pore-scale numerical study of intrinsic permeability for fluid flow through asymmetric ceramic microfiltration membranes

Shuang Song, Liangwan Rong, Kejun Dong, Xuefei Liu, Pierre Le-Clech, Yansong Shen

Research output: Contribution to journalArticlepeer-review

Abstract

The asymmetric ceramic microfiltration (MF) membrane is widely used in water treatment processes, yet the dependence of its intrinsic permeability on the microstructure parameters of different layers are not thoroughly understood. In this study, a numerical model combining the Discrete Element Method (DEM) with Lattice Boltzmann Method (LBM) is developed to simulate the fluid flow through the detailed pore structure of an asymmetric ceramic MF membrane. The model is validated by comparing the simulated pure water permeability to experimental data with an average deviation of 8% (Max∼25%). The simulation results show that the pore size D50 and porosity ε, of the top and intermediate layers are dominant microstructure parameters that determine the membrane pure water permeability. A new asymmetric ceramic MF membrane intrinsic permeability Km as a function of D50, ε and layer thickness h of both top and intermediate layers is derived. The verification of this Km correlation is conducted by comparison with experimental data and Carman-Kozeny (C–K), Hagen-Poiseuille (H–P) correlations, indicating the proposed Km correlation can accurately predict the membrane permeability. It provides a useful tool for a fundamental understanding of the effect of membrane microstructures on intrinsic permeability.
Original languageEnglish
Article number119920
Number of pages11
JournalJournal of Membrane Science
Volume642
DOIs
Publication statusPublished - 2022

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