1. Liqiang Lu, Aaron Morris, Tingwen Li, Sofiane Benyahia
Extension of a coarse grained particle method to simulate heat transfer in fluidized beds
Liqiang Lu, Aaron Morris, Tingwen Li, Sofiane Benyahia
National Energy Technology Laboratory, Morgantown, WV 26507, United States

2. Highlights
Heat transfer model is added to coarse grained particle method.
The proposed model is verified and validated against accurate DEM and experimental data.
The convection term and particle fluid wall conduction term are the dominant heat transfer mechanisms in fluidized bed.

3. MFIX-CGP: Hydrodynamics (g-s) and heat transfer
Liqiang Lu, Aaron Morris, Tingwen Li, Sofiane Benyahia, Extension of a coarse grained particle method to simulate heat transfer in fluidized beds. Submitted to International Journal of Heat and Mass Transfer

4. MFIX-CGP: Hydrodynamics (g-s) and heat transfer

5. MFIX-CGP: Hydrodynamics (g-s) and heat transfer
Experiment
Simulation
Xiao, Y.-f., Chen, Y.-y., Feng, Z.-y., Huang, X.-w., Huang, L., Long, Z.-q., Cui, D.-l., Leaching characteristics of ion-adsorption type rare earths ore with magnesium sulfate. Transactions of Nonferrous Metals Society of China 25,
A.V. Patil, E.A.J.F. Peters, J.A.M. Kuipers, Comparison of CFD–DEM heat transfer simulations with
infrared/visual measurements, Chem. Eng. J., 277 (2015)

6. Constant Temperature wall boundary condition
Heat Transfer: Results
Constant Temperature wall boundary condition
CFD-DEM
CGPM-8
CGPM-27

7. Heat Transfer: Results
From (a)
Particle-fluid convection term accounts for about 65%
Particle-fluid-wall conduction accounts for about 35%
Particle-wall contact conduction term accounts for less than 1%
From (b,c,d)
CGPM works well as the results with different statistic weight are almost identical
The simulation speed of CGPM is about W1.5 faster than DEM (about 20~140 in this case)

8. Heat Transfer: Results
The narrow distribution indicates that the bubbling fluidized bed is well mixed as most of the particles have similar temperature.
The peak of the distribution profile is lower than that with adiabatic walls meaning the temperature distribution is less uniform.
This is because with constant wall temperature boundary conditions the particles near this boundary will cool faster than those in the center due to the particle-fluid-wall conduction heat transfer.
Temperature distribution profile is similar for simulation with different W