Knowledge Management System Of Institute of process engineering,CAS
| Euler-Lagrange simulation of dense gas-solid flow with local grid refinement | |
Zhao, Peng1,2; Xu, Ji1,3; Chang, Qi1,5; Ge, Wei1,2,3,4; Wang, Junwu1,2,3
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| 2022-02-01 | |
| Source Publication | POWDER TECHNOLOGY
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| ISSN | 0032-5910 |
| Volume | 399Pages:18 |
| Abstract | Euler-Lagrange method is powerful for studying dense gas-solid flow, where the Eulerian grid is typically 3-5 times of particle diameter to ensure the accuracy of information mapping between gas and solid phases. This condition limits its applications in simulating reactors with complex geometries which require the use of Eulerian grids that are comparative to or smaller than particle diameter. In this study, eight methods for mapping discrete particle information to continuous fluid field were compared first via the simulation of a packed bed, their pros and cons were analyzed and discussed in detail; A kernel function method (the normalized kernel function method II, NKFMII) was then selected to simulate the hydrodynamics and heat transfer of gas-solid bubbling fluidized beds, the results not only validated NKFMII for interphase information mapping but also indicated that a grid-size-independent solution can be achieved; Finally, in order to balance the computational efficiency and accuracy a hybrid particle centroid method (PCM) and NKFMII method was proposed to achieve the interphase information mapping and then to simulate the hydrodynamics of a fluidized bed with immersed tubes, the ability of local grid refinement and the effectiveness of the coupled PCM and NKFMII method were demonstrated. This study proved that Euler-Lagrange simulation with local grid refinement is able to simulate gas-solid reactors with complex geometries. (c) 2022 Elsevier B.V. All rights reserved. |
| Keyword | Discrete particle simulation Kernel function Information mapping Fluidization Multiphase flow Grid refinement |
| DOI | 10.1016/j.powtec.2022.117199 |
| Language | 英语 |
| WOS Keyword | DISCRETE PARTICLE MODEL ; MAGNETIC-RESONANCE MEASUREMENTS ; CFD-DEM ; NUMERICAL-SIMULATION ; HEAT-TRANSFER ; ELEMENT MODEL ; FLUIDIZED-BED ; DRAG FORCE ; APPROXIMATION ; HYDRODYNAMICS |
| Funding Project | National Natural Science Foun-dation of China[21978295] ; National Natural Science Foun-dation of China[11988102] ; National Natural Science Foun-dation of China[91834303] ; Innovation Academy for Green Manufacture, Chinese Academy of Sciences[IAGM-2019-A13] ; Youth Innovation Promotion Association, Chinese Academy of Sci-ences[2019050] ; Key Research Program of Frontier Science, Chinese Academy of Sciences[QYZDJ-SSW-JSC029] ; Transformational Tech-nologies for Clean Energy and Demonstration, Strategic Priority Re-search Program of the Chinese Academy of Sciences[XDA21030700] ; National Key Research and Development Program of China[2017YFB0202203] |
| WOS Research Area | Engineering |
| WOS Subject | Engineering, Chemical |
| Funding Organization | National Natural Science Foun-dation of China ; Innovation Academy for Green Manufacture, Chinese Academy of Sciences ; Youth Innovation Promotion Association, Chinese Academy of Sci-ences ; Key Research Program of Frontier Science, Chinese Academy of Sciences ; Transformational Tech-nologies for Clean Energy and Demonstration, Strategic Priority Re-search Program of the Chinese Academy of Sciences ; National Key Research and Development Program of China |
| WOS ID | WOS:000791842500007 |
| Publisher | ELSEVIER |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.ipe.ac.cn/handle/122111/53356 |
| 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 Manufacture, Beijing 100190, Peoples R China 4.Collaborat Innovat Ctr Chem Sci & Engn Tianjin, Tianjin 300072, Peoples R China 5.Tianjin Univ, Sch Chem Engn & Technol, Tianjin 300072, Peoples R China |
| Recommended Citation GB/T 7714 | Zhao, Peng,Xu, Ji,Chang, Qi,et al. Euler-Lagrange simulation of dense gas-solid flow with local grid refinement[J]. POWDER TECHNOLOGY,2022,399:18. |
| APA | Zhao, Peng,Xu, Ji,Chang, Qi,Ge, Wei,&Wang, Junwu.(2022).Euler-Lagrange simulation of dense gas-solid flow with local grid refinement.POWDER TECHNOLOGY,399,18. |
| MLA | Zhao, Peng,et al."Euler-Lagrange simulation of dense gas-solid flow with local grid refinement".POWDER TECHNOLOGY 399(2022):18. |
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