[Paper Accepted] Pore scale study of fluid flow and drag force in randomly packed beds of different porosities

We developed a model to simulate particle-fluid flow at an equivalent scale for fluid (pore scale) and solid (particle scale) phases. Well done, Yongli.
https://pubs.acs.org/doi/10.1021/acs.iecr.8b06418

Pore scale study of fluid flow and drag force in randomly packed beds of different porosities

Yongli Wu,¹ Qinfu Hou,^1* and Aibing Yu^1,2*

¹ARC Research Hub for Computational Particle Technology, Department of Chemical Engineering, Monash University, VIC 3800, Australia

²Centre for Simulation and Modelling of Particulate Systems, Southeast University - Monash University Joint Research Institute, Suzhou 215123, PR China

Abstract

Understanding the relationship between a fluid flow and the structural properties of a bed is important for various industrial applications and a proper description of particle-fluid flow. This work presents a pore scale study of fluid flow through randomly packed beds by a network model. The model incorporates the inertial effect, thus can be applied to flows of high Reynolds numbers. The results show the structure heterogeneity associated with the connection of pores is important in determining the distribution of fluid flow. The statistical distribution of normalized drag forces on individual particles is Gaussian, related to the statistical distribution of pore properties. The mean drag force of a bed by the pore scale model agrees well with that from a previous study by the lattice-Boltzmann method. These findings support the application of the pore network model for simulating particle-fluid flows under a wider range of Reynolds numbers.

Keywords: packed bed, pore scale study, pore network model, drag force, particle-fluid flow

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*Corresponding authors. Emails: qinfu.hou@monash.edu (QFH) and aibing.yu@monash.edu (ABY)