A computational fluid dynamics-discrete element-immersed boundary method (CFD-DEM-IBM method) was developed for Cartesian grid simulation of the hydrodynamics and heat transfer of compressible gas–solid flow, where the interaction of gas and complex geometries was modeled using the IBM. The IBM was first validated by simulating single-phase flow past a circular cylinder at different Reynolds numbers and Mach numbers; it was shown that the drag coefficient, the lift coefficient, the Strouhal number, and the Nusselt number are all in excellent agreement with the data available in the literature. The CFD-DEM-IBM method was then used to study the tube-to-bed heat transfer of compressible gas–solid in a bubbling fluidized bed with an immersed tube. It was found that the profiles of the overall averaged and local distribution of the heat transfer coefficient (HTC) are in general agreement with the experimental data, although the locations of the maximal local HTC are slightly different from the experimental result. The simulation results demonstrated that the proposed CFD-DEM-IBM method is an efficient tool to study the heat transfer problem in fluidized beds with complex geometries.
Skip Nav Destination
A computational fluid dynamics-discrete element-immersed boundary method for Cartesian grid simulation of heat transfer in compressible gas–solid flow with complex geometries
,
,
,
,
Article navigation
October 2020
Research Article|
October 07 2020
A computational fluid dynamics-discrete element-immersed boundary method for Cartesian grid simulation of heat transfer in compressible gas–solid flow with complex geometries
Available to Purchase
Special Collection:
Turbulent and Multiphase Flows
Peng Zhao (赵鹏)
;
Peng Zhao (赵鹏)
1
State Key Laboratory of Multiphase Complex Systems, Institute of Process Engineering, Chinese Academy of Sciences
, P.O. Box 353, Beijing 100190, China
2
School of Chemical Engineering, University of Chinese Academy of Sciences
, Beijing 100049, China
Search for other works by this author on:
Ji Xu (徐骥);
Ji Xu (徐骥)
1
State Key Laboratory of Multiphase Complex Systems, Institute of Process Engineering, Chinese Academy of Sciences
, P.O. Box 353, Beijing 100190, China
3
Innovation Academy for Green Manufacture, Chinese Academy of Sciences
, Beijing 100190, China
Search for other works by this author on:
Xingchi Liu (刘星池);
Xingchi Liu (刘星池)
1
State Key Laboratory of Multiphase Complex Systems, Institute of Process Engineering, Chinese Academy of Sciences
, P.O. Box 353, Beijing 100190, China
2
School of Chemical Engineering, University of Chinese Academy of Sciences
, Beijing 100049, China
Search for other works by this author on:
Wei Ge (葛蔚);
Wei Ge (葛蔚)
1
State Key Laboratory of Multiphase Complex Systems, Institute of Process Engineering, Chinese Academy of Sciences
, P.O. Box 353, Beijing 100190, China
2
School of Chemical Engineering, University of Chinese Academy of Sciences
, Beijing 100049, China
3
Innovation Academy for Green Manufacture, Chinese Academy of Sciences
, Beijing 100190, China
4
Collaborative Innovation Center of Chemical Science and Engineering (Tianjin)
, Tianjin 300072, China
Search for other works by this author on:
Junwu Wang (王军武)
Junwu Wang (王军武)
a)
1
State Key Laboratory of Multiphase Complex Systems, Institute of Process Engineering, Chinese Academy of Sciences
, P.O. Box 353, Beijing 100190, China
2
School of Chemical Engineering, University of Chinese Academy of Sciences
, Beijing 100049, China
3
Innovation Academy for Green Manufacture, Chinese Academy of Sciences
, Beijing 100190, China
a)Author to whom correspondence should be addressed: [email protected]
Search for other works by this author on:
Ji Xu (徐骥)
1,3
Xingchi Liu (刘星池)
1,2
Wei Ge (葛蔚)
1,2,3,4
1
State Key Laboratory of Multiphase Complex Systems, Institute of Process Engineering, Chinese Academy of Sciences
, P.O. Box 353, Beijing 100190, China
2
School of Chemical Engineering, University of Chinese Academy of Sciences
, Beijing 100049, China
3
Innovation Academy for Green Manufacture, Chinese Academy of Sciences
, Beijing 100190, China
4
Collaborative Innovation Center of Chemical Science and Engineering (Tianjin)
, Tianjin 300072, China
a)Author to whom correspondence should be addressed: [email protected]
Note: This paper is part of the Special Topic on Turbulent and Multiphase Flows.
Physics of Fluids 32, 103306 (2020)
Article history
Received:
July 29 2020
Accepted:
September 12 2020
Citation
Peng Zhao, Ji Xu, Xingchi Liu, Wei Ge, Junwu Wang; A computational fluid dynamics-discrete element-immersed boundary method for Cartesian grid simulation of heat transfer in compressible gas–solid flow with complex geometries. Physics of Fluids 1 October 2020; 32 (10): 103306. https://doi.org/10.1063/5.0023423
Download citation file:
Pay-Per-View Access
$40.00
Sign In
You could not be signed in. Please check your credentials and make sure you have an active account and try again.
Citing articles via
Phase behavior of Cacio e Pepe sauce
G. Bartolucci, D. M. Busiello, et al.
Direct numerical simulations of immiscible two-phase flow in rough fractures: Impact of wetting film resolution
R. Krishna, Y. Méheust, et al.
Chinese Academy of Science Journal Ranking System (2015–2023)
Cruz Y. Li (李雨桐), 李雨桐, et al.
Related Content
Supersonic and near-equilibrium gas-driven granular flow
Physics of Fluids (November 2020)
Comparative analysis of spatiotemporal coherent structures in a spouted fluidized bed using data-driven methods
Physics of Fluids (June 2025)
A high-order nonlinear limiter for discontinuous Galerkin method on parallel adaptive Cartesian grids
Physics of Fluids (March 2023)
A Cartesian grid-based model for simulating wave-structure interaction problems
Physics of Fluids (November 2024)
Effect of heterogeneity on interphase heat transfer for gas–solid flow: A particle-resolved direct numerical simulation
Physics of Fluids (December 2022)