Imperial College London
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ProfessorCatherineO'Sullivan

Faculty of Engineering, Department of Civil and Environmental Engineering

Professor of Particulate Soil Mechanics
 
 
 
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Contact

 

+44 (0)20 7594 6117cath.osullivan Website

 
 
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Location

 

501Skempton BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Che:2024:10.1002/aic.18321,
author = {Che, H and Windows-Yule, K and O'Sullivan, C and Seville, J},
doi = {10.1002/aic.18321},
journal = {AIChE Journal},
title = {A novel semi-resolved CFD-DEM method with two-grid mapping: methodology and verification},
url = {http://dx.doi.org/10.1002/aic.18321},
volume = {70},
year = {2024}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - The semi-resolved Computational Fluid Dynamics coupled with the Discrete Element Method (CFD-DEM) method has emerged as approach to modeling particle-fluid interactions in granular materials with high particle size ratios. However, challenges arise from conflicting requirements regarding the CFD grid size, which must adequately resolve fluid flow in the pore space while maintaining a physically meaningful porosity field. This study addresses these challenges by introducing a two-grid mapping approach. Initially, the porosity field associated with fine particles is estimated using a coarse CFD grid, which is then mapped to a dynamically refined grid. To ensure conservation of total solid volume, a volume compensation procedure is implemented. The proposed method has been rigorously verified using benchmark cases, showing its high computational efficiency and accurate handling of complex porosity calculations near the surface of coarse particles. Moreover, the previously unreported impact of the empirical drag correlation on fluid-particle force calculations for both coarse and fine particles has been revealed.
AU  - Che,H
AU  - Windows-Yule,K
AU  - O'Sullivan,C
AU  - Seville,J
DO  - 10.1002/aic.18321
PY  - 2024///
SN  - 0001-1541
TI  - A novel semi-resolved CFD-DEM method with two-grid mapping: methodology and verification
T2  - AIChE Journal
UR  - http://dx.doi.org/10.1002/aic.18321
UR  - https://aiche.onlinelibrary.wiley.com/doi/10.1002/aic.18321
UR  - http://hdl.handle.net/10044/1/108211
VL  - 70
ER  -
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