Improved coarse-grained CFD-DEM methods for simulating rough spherical particles in fluidized beds

  • Taizhen Liu
  • , Jiasunle Li
  • , Lingyue Meng
  • , Chuan Zhang
  • , Xujie Zhang
  • , Zhiwei Ge
  • , Liejin Guo

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Coarse-grained discrete element methods (CGDEM) have received much attention due to their effective reduction of computational effort. However, compared to discrete element methods (DEM), coarse-grained discrete element methods exhibit lower accuracy in modeling rough, inelastic spherical particles. This is partly because conventional coarse-graining strategies focus only on energy dissipation due to inelasticity. In this article, the impact of particle rotational inertia is incorporated into the translational energy dissipation in inter-particle collisions. A new formula for calculating the normal recovery coefficient is derived according to the strategy that dissipation in coarse-grained models is equal to real particles. The validation was conducted in both a bubbling bed and a spout-fluid bed. It turns out that collision modeling, which considers friction and roughness dissipation (CMF/R), provides better accuracy than CGDEM with the traditional coarsening strategy. Notably, in the 0.15 m height of the spout-fluid bed, CMF/R model shows a smaller relative error compared to DEM simulation experiments. The accuracy and versatility of the new model in calculating normal recovery coefficients were verified by the simulation results.

Original languageEnglish
Article number121349
JournalPowder Technology
Volume465
DOIs
StatePublished - Nov 2025

Keywords

  • Analytical solution
  • CFD-DEM
  • Coarse grain
  • Collision model
  • Fluidization
  • Multiphase flows

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