A Model to Improve Granular Temperature in CFD-DEM Simulations

Yaxiong Yu, Li Zhao, Yu Li and Qiang Zhou
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Yaxiong Yu: School of Chemical Engineering and Technology, Xi’an Jiaotong University, Xi’an 710049, China
Li Zhao: School of Chemical Engineering and Technology, Xi’an Jiaotong University, Xi’an 710049, China
Yu Li: School of Chemical Engineering and Technology, Xi’an Jiaotong University, Xi’an 710049, China
Qiang Zhou: School of Chemical Engineering and Technology, Xi’an Jiaotong University, Xi’an 710049, China

Energies, 2020, vol. 13, issue 18, 1-12

Abstract: CFD-DEM (computational fluid dynamic-discrete element method) is a promising approach for simulating fluid–solid flows in fluidized beds. This approach generally under-predicts the granular temperature due to the use of drag models for the average drag force. This work develops a simple model to improve the granular temperature through increasing the drag force fluctuations on the particles. The increased drag force fluctuations are designed to match those obtained from PR-DNSs (particle-resolved direct numerical simulations). The impacts of the present model on the granular temperatures are demonstrated by posteriori tests. The posteriori tests of tri-periodic gas–solid flows show that simulations with the present model can obtain transient as well as steady-state granular temperature correctly. Moreover, the posteriori tests of fluidized beds indicated that the present model could significantly improve the granular temperature for the homogenous or slightly inhomogeneous systems, while it showed negligible improvement on the granular temperature for the significantly inhomogeneous systems.

Keywords: CFD-DEM; fluidized beds; granular temperature; drag force (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
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