A hybrid LBM-DEM framework with an improved immersed moving boundary method for modelling complex particle-liquid flows involving adhesive particles

TL;DR

This paper introduces an improved hybrid LBM-DEM framework with an enhanced immersed moving boundary method, enabling more accurate simulation of complex particle-liquid flows involving adhesion and dense particle interactions.

Contribution

It develops a modified weighting scheme and a fast volume approximation method, improving the accuracy and efficiency of fluid-particle interaction modeling in the hybrid framework.

Findings

Accurately captures flow fields between dense particles at low grid resolution.

Effectively models adhesive mechanics between microspheres.

Validated with benchmark cases showing improved performance.

Abstract

This paper presents an improved immersed moving boundary model (IBM) for solving complex fluid-particle interactions in a coupled lattice Boltzmann method (LBM) and an adhesive discrete element method (DEM), using the "partially saturated cell" scheme. It is shown that the existing scheme does not well address the contribution of each solid particle to the fluid when multiple particles intersect with the same lattice cell. This issue is completely addressed by modifying the weighting function in the partially covered cells in the present study. Furthermore, a fast linear approximation method with high efficiency and good accuracy is applied to calculate the partially intersected volume between a particle and a lattice cell. Verified with several benchmark cases, the developed hybrid IBM-LBM-DEM numerical framework is capable of describing the flow field between dense particles with a relatively low grid resolution in more details, as well as effectively capturing the adhesive mechanics between microspheres.