Particle-pore scale study of the expansion and minimum fluidization of fine particles

Journal Article (2026)
Author(s)

Qiong Wu (Nanjing University of Posts and Telecommunications)

Yi Zou (Monash University)

Yongli Wu (TU Delft - Resources & Recycling)

Jing He (Nanjing University of Posts and Telecommunications)

Research Group
Resources & Recycling
DOI related publication
https://doi.org/10.1016/j.ces.2025.123260
More Info
expand_more
Publication Year
2026
Language
English
Research Group
Resources & Recycling
Volume number
324
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

A coupled approach combining the Discrete Element Method (DEM) and the Pore Network Model (PNM) is developed to simulate particle-fluid flows at equivalent solving scales, specifically, the particle scale via DEM for capturing solid-phase dynamics, and the pore scale via PNM for characterizing fluid flow. Initially, the DEM-PNM model yields results that are largely consistent with those of the DEM-Lattice Boltzmann Method (DEM-LBM) in simulating a dynamic cell under low Reynolds number conditions. Subsequently, the model is employed to replicate the formation of a stable expanded bed composed of fine particles. By analyzing pore-scale fluid flow, tortuous flow paths, and particle-particle force chains, the results reveal that the development of a stable expanded bed corresponds with microscopic structural evolutions that reduce resistance to gas flow and enhance mechanical stability. Finally, leveraging the micromechanical interactions at the particle and pore scales, a quantitative correlation is derived to predict the minimum bubbling velocity of fine cohesive particles. This correlation explicitly incorporates particle-scale properties, including the Hamaker constant, as well as pore structure characteristics within the particle assembly. Overall, the study demonstrates that the DEM-PNM approach, operating at an equivalent particle-pore scale, holds significant promise for advancing the understanding of particle-fluid flow micromechanics.