1.Beijing Key Laboratory of Emission Surveillance and Control for Thermal Power Generation, North China Electric Power University, Beijing 102206, China
2.Shanxi Pingshuo Gangue-fired Power Generation Company Limited, Shuozhou 036800, Shanxi, China
ZHANG Yi, BAI Yulong, LUO Dingling, LU Jianzhou, GUAN Yanjun, ZHANG Kai. Effect of drag models on CFD simulations for homogeneous liquid-solid fluidization[J]. CIESC Journal, 2019, 70(11): 4207-4215
ZHANG Yi, BAI Yulong, LUO Dingling, LU Jianzhou, GUAN Yanjun, ZHANG Kai. Effect of drag models on CFD simulations for homogeneous liquid-solid fluidization[J]. CIESC Journal, 2019, 70(11): 4207-4215DOI: 10.11949/0438-1157.20190583.
Effect of drag models on CFD simulations for homogeneous liquid-solid fluidization
Drag model plays one of important roles for CFD simulation of multiphase flows. Six drag models proposed by Gidaspow
Syamlal-O Brien
Di Felice
Gibilaro
Dallavalle and BVK are compared for predicting homogeneous liquid-solid fluidization in this study. CFD simulations are conducted based upon a simplified inviscid two-fluid model proposed by Brandani and Zhang in a commercial platform together with user-defined FORTRAN subroutines. Typical experimental data including a wide range of particle Reynolds numbers from reference literatures are employed to evaluate numerical simulation. The results show that either BVK model or Dallavalle model could predict the bed expansion and overall solids holdup very well. The radial profiles of solids holdup predicted by BVK
Syamlal-O Brien as well as Dallavalle model are more accurate
and that the BVK drag model provides better prediction for the radial profile of solids axial velocity. Generally
the BVK drag model demonstrates the best performance for modelling hydrodynamics in homogeneous liquid-solid fluidization as its mechanism is corresponding with the kinetic behavior of particles in liquid-solid system. Taking both prediction accuracy and model complexity into consideration
Dallavalle drag model seems to be the optimal choice among the rest of the drag models.
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Related Author
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Related Institution
College of Power and Energy Engineering, Harbin Engineering University
Institute of Systems Engineering, Academy of Military Sciences
Beijing Key Laboratory of Emission Surveillance and Control for Thermal Power Generation, North China Electric Power University
Shanghai Engineering Research Center of Coal Gasification, State Key Laboratory of Coal Liquification, Gasification and Utilization with High Efficiency and Low Carbon Technology, East China University of Science and Technology