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Testing CFD-DEM method with a stochastic drag formulation using particle-resolved direct numerical simulation data as benchmark
Wang, Junwu1,2,3; Zhao, Peng1,2; Zhao, Bidan1,2
2021-08-31
Source PublicationCHEMICAL ENGINEERING SCIENCE
ISSN0009-2509
Volume240Pages:7
AbstractDetailed 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.
KeywordDrag force Direct numerical simulation Discrete particle method Fluidization Multiphase flow
DOI10.1016/j.ces.2021.116657
Language英语
WOS KeywordGRANULAR TEMPERATURE ; FLUID-FLOW ; MODEL ; FORCE ; DISPERSE ; 2-FLUID ; ARRAYS ; SCALE ; BEDS
Funding ProjectNational 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 Research AreaEngineering
WOS SubjectEngineering, Chemical
Funding OrganizationNational 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
WOS IDWOS:000656201400002
PublisherPERGAMON-ELSEVIER SCIENCE LTD
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ipe.ac.cn/handle/122111/49015
Collection中国科学院过程工程研究所
Corresponding AuthorWang, Junwu
Affiliation1.Chinese Acad Sci, Inst Proc Engn, State Key Lab Multiphase Complex Syst, POB 353, Beijing 100190, Peoples R China
2.Univ Chinese Acad Sci, Sch Chem Engn, Beijing 100049, Peoples R China
3.Chinese Acad Sci, Innovat Acad Green Mfg, Beijing 100190, Peoples R China
Recommended Citation
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.
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