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Testing CFD-DEM method with a stochastic drag formulation using particle-resolved direct numerical simulation data as benchmark

文献类型：期刊论文

作者Wang, Junwu1,2,3; Zhao, Peng1,2; Zhao, Bidan1,2
刊名CHEMICAL ENGINEERING SCIENCE
出版日期2021-08-31
卷号240页码:7
关键词Drag force Direct numerical simulation Discrete particle method Fluidization Multiphase flow
ISSN号0009-2509
DOI10.1016/j.ces.2021.116657
英文摘要Detailed comparison between particle-resolved direct numerical simulations (PR-DNS) and standard CFD-DEM simulations have concluded that the effective interphase drag force was underestimated by currently available drag correlations. Furthermore, PR-DNS have found that the force exerted on a single particle varies significantly even in statistically homogeneous systems, which was unfortunately not considered in standard CFD-DEM simulations. Therefore, it is interesting to test if CFD-DEM simulation with a stochastic drag formulation (stochastic CFD-DEM method) was able to obtain a better agreement with the data of PR-DNS. In this short communication, stochastic CFD-DEM method was assessed using the PR DNS data of Tang et al. (2016) and Luo et al. (2016) as benchmark. It was found that although a minor improvement can be achieved, stochastic CFD-DEM method was insufficient to fill the gap between PR-DNS and CFD-DEM simulations. Therefore, effort is still needed to develop a better drag model after extensive studies, where the detailed information of particle configuration may need to be properly used. (c) 2021 Elsevier Ltd. All rights reserved.
WOS关键词GRANULAR TEMPERATURE ; FLUID-FLOW ; MODEL ; FORCE ; DISPERSE ; 2-FLUID ; ARRAYS ; SCALE ; BEDS
资助项目National Natural Science Foundation of China[11988102] ; National Natural Science Foundation of China[21978295] ; Innovation Academy for Green Manufacture, Chinese Academy of Sciences[IAGM-2019-A13] ; Key Research Program of Frontier Science, Chinese Academy of Sciences[QYZDJ-SSW-JSC029] ; Transformational Technologies for Clean Energy and Demonstration, Strategic Priority Research Program of the Chinese Academy of Sciences[XDA21030700]
WOS研究方向Engineering
语种英语
WOS记录号WOS:000656201400002
出版者PERGAMON-ELSEVIER SCIENCE LTD
资助机构National Natural Science Foundation of China ; Innovation Academy for Green Manufacture, Chinese Academy of Sciences ; Key Research Program of Frontier Science, Chinese Academy of Sciences ; Transformational Technologies for Clean Energy and Demonstration, Strategic Priority Research Program of the Chinese Academy of Sciences
源URL[http://ir.ipe.ac.cn/handle/122111/49014]  
专题中国科学院过程工程研究所
通讯作者Wang, Junwu
作者单位1.Univ Chinese Acad Sci, Sch Chem Engn, Beijing 100049, Peoples R China
2.Chinese Acad Sci, Inst Proc Engn, State Key Lab Multiphase Complex Syst, POB 353, Beijing 100190, Peoples R China
3.Chinese Acad Sci, Innovat Acad Green Mfg, Beijing 100190, Peoples R China
推荐引用方式
GB/T 7714		 Wang, Junwu,Zhao, Peng,Zhao, Bidan. Testing CFD-DEM method with a stochastic drag formulation using particle-resolved direct numerical simulation data as benchmark[J]. CHEMICAL ENGINEERING SCIENCE,2021,240:7.
APA Wang, Junwu,Zhao, Peng,&Zhao, Bidan.(2021).Testing CFD-DEM method with a stochastic drag formulation using particle-resolved direct numerical simulation data as benchmark.CHEMICAL ENGINEERING SCIENCE,240,7.
MLA Wang, Junwu,et al."Testing CFD-DEM method with a stochastic drag formulation using particle-resolved direct numerical simulation data as benchmark".CHEMICAL ENGINEERING SCIENCE 240(2021):7.

入库方式： OAI收割

来源：过程工程研究所

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