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A novel semi-resolved CFD-DEM method with two-grid mapping:methodology and validation
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  • Hanqiao Che,
  • Christopher Windows-Yule,
  • Catherine O'Sullivan,
  • Jonathan Seville
Hanqiao Che
Beihang University

Corresponding Author:[email protected]

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Christopher Windows-Yule
University of Birmingham
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Catherine O'Sullivan
Imperial College London
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Jonathan Seville
University of Birmingham
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The semi-resolved CFD-DEM method has emerged as a prominent tool for modelling 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 validated 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.
08 Jul 2023Submitted to AIChE Journal
14 Jul 2023Submission Checks Completed
14 Jul 2023Assigned to Editor
14 Jul 2023Review(s) Completed, Editorial Evaluation Pending
23 Jul 2023Reviewer(s) Assigned
28 Aug 2023Editorial Decision: Revise Major
07 Oct 20231st Revision Received
08 Oct 2023Submission Checks Completed
08 Oct 2023Assigned to Editor
08 Oct 2023Review(s) Completed, Editorial Evaluation Pending
13 Nov 2023Editorial Decision: Accept