Knowledge Management System Of Institute of process engineering,CAS
| 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
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| 2021-08-31 | |
| Source Publication | CHEMICAL ENGINEERING SCIENCE
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| ISSN | 0009-2509 |
| Volume | 240Pages:7 |
| Abstract | 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. |
| Keyword | Drag force Direct numerical simulation Discrete particle method Fluidization Multiphase flow |
| DOI | 10.1016/j.ces.2021.116657 |
| Language | 英语 |
| WOS Keyword | GRANULAR TEMPERATURE ; FLUID-FLOW ; MODEL ; FORCE ; DISPERSE ; 2-FLUID ; ARRAYS ; SCALE ; BEDS |
| Funding Project | 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 Research Area | Engineering |
| WOS Subject | Engineering, Chemical |
| Funding Organization | 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 |
| WOS ID | WOS:000656201400002 |
| Publisher | PERGAMON-ELSEVIER SCIENCE LTD |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.ipe.ac.cn/handle/122111/49015 |
| Collection | 中国科学院过程工程研究所 |
| Corresponding Author | Wang, Junwu |
| Affiliation | 1.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 |
| First Author Affilication | Center of lonic Liquids and Green Engineering |
| Corresponding Author Affilication | Center of lonic Liquids and Green Engineering |
| 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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