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This chapter presents an innovative CFD-KTGF-DEM method in multiphase flows and fluidization. It is common knowledge that the quantitative difference exists between CFD-DEM and TFM-KTGF simulations due to the uncoordinated input parameters of collision and turbulence models. In CFD-KTGF-DEM method, the collisional parameters of the KTGF are simultaneously acquired from DEM simulations, and the turbulence kinetic energies of the DEM are simultaneously acquired from KTGF simulations using the momentum and energy coupling strategies. The CFD-KTGF-DEM method is free from input empirical constants, and produces a multiscale continuum-discrete modeling linked the particles scale and the grid scale in multiphase flows.

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Fluid–Solid Two-Phase CFD-KTGF-DEM Approach

  • 章节

  • 发表日期：

    2025年

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  • Huilin Lu,
  • Guodong Liu,
  • Qinghong Zhang,
  • Xiaoxue Jiang,
  • Boxue Pang,
  • Wenjian Cai

摘要

This chapter presents an innovative CFD-KTGF-DEM method in multiphase flows and fluidization. It is common knowledge that the quantitative difference exists between CFD-DEM and TFM-KTGF simulations due to the uncoordinated input parameters of collision and turbulence models. In CFD-KTGF-DEM method, the collisional parameters of the KTGF are simultaneously acquired from DEM simulations, and the turbulence kinetic energies of the DEM are simultaneously acquired from KTGF simulations using the momentum and energy coupling strategies. The CFD-KTGF-DEM method is free from input empirical constants, and produces a multiscale continuum-discrete modeling linked the particles scale and the grid scale in multiphase flows.