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

doi:10.1016/j.ces.2021.116657

	Testing CFD-DEM method with a stochastic drag formulation using particle-resolved direct numerical simulation data as benchmark
	Wang, Junwu 1,2,3; Zhao, Peng 2,3; Zhao, Bidan 2,3
刊名	CHEMICAL ENGINEERING SCIENCE
	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
DOI	10.1016/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.
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关键词	GRANULAR TEMPERATURE ; FLUID-FLOW ; MODEL ; FORCE ; DISPERSE ; 2-FLUID ; ARRAYS ; SCALE ; BEDS
WOS研究方向	Engineering
语种	英语
出版者	PERGAMON-ELSEVIER SCIENCE LTD
WOS记录号	WOS:000656201400002
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
内容类型	期刊论文
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.Chinese Acad Sci, Innovat Acad Green Mfg, Beijing 100190, Peoples R China 2.Chinese Acad Sci, Inst Proc Engn, State Key Lab Multiphase Complex Syst, POB 353, Beijing 100190, Peoples R China 3.Univ Chinese Acad Sci, Sch Chem Engn, Beijing 100049, 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.