A critical comparison of two-fluid model, discrete particle method and direct numerical simulation for modeling dense gas-solid flow of rough spheres | |
Bian, Wei1,2; Chen, Xizhong1; Wang, Junwu1,2 | |
刊名 | CHEMICAL ENGINEERING SCIENCE |
2019-12-31 | |
卷号 | 210页码:17 |
关键词 | Drag Force Direct Numerical Simulation Discrete Particle Method Two-fluid Model Fluidization Multiphase Flow |
ISSN号 | 0009-2509 |
DOI | 10.1016/j.ces.2019.115233 |
英文摘要 | Interphase drag coefficient is a critical input in two-fluid model (TFM) and discrete particle method (DPM). In this study, extensive TFM and DPM simulations were carried out to study of the hydrodynamics of gas-solid flows of monodisperse, rough particles in a dense fluidized bed using fourteen drag coefficient correlations available in literature, the simulation results were then compared to the direct numerical simulation (DNS) and experimental data of Tang et al. (2016). It was shown that (i) all TFM and DPM simulations result in a lower bed expansion rate than those of DNS and experiment, which indicates that the true interphase drag force is underestimated by all fourteen drag coefficient correlations; (ii) all DPM simulations can correctly capture, at least in a qualitative sense, the main hydrodynamic features obtained from DNS, but some TFM simulations with the exactly same drag coefficients show anomalous phenomena. This is not an indicator of the failure of the used drag coefficients but might be a sign of the deficiency of the used particle phase stress model in this specific situation; (iii) the time-averaged differential pressure drops of DPM and TFM simulations agree well with DNS results, but the characteristic frequency of pressure fluctuation found in DNS is overestimated by a factor of 2-3 by all DPM and TFM simulations; and (iv) the magnitude of local and global granular temperatures of TFM, DPM and DNS are all in a fair agreement, but the degree of the anisotropy of both local and global granular temperature found in DNS is systematically underestimated by DPM and TFM, especially, the local granular temperature in TFM simulations is inherently isotropic due to the fundamental assumption of the used kinetic theory. This study highlights the need of a better interphase drag coefficient and a better particle phase stress model for modeling dense gas-solid flow. (C) 2019 Elsevier Ltd. All rights reserved. |
资助项目 | Innovation Academy for Green Manufacture, Chinese Academy of Sciences[IAGM-2019-A13] ; National Natural Science Foundation of China[21978295] ; National Natural Science Foundation of China[91834303] ; 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] ; Fund of State Key Laboratory of Multiphase Complex Systems[MPCS-2019A-07] ; Fund of State Key Laboratory of Multiphase Complex Systems[MPCS-2019-D-10] |
WOS关键词 | Computational Fluid-dynamics ; Theory-based Predictions ; Emms Drag Model ; Kinetic-theory ; Reynolds-number ; Granular Temperature ; Heat-transfer ; Eulerian Simulation ; Bidisperse Arrays ; Past Monodisperse |
WOS研究方向 | Engineering |
语种 | 英语 |
出版者 | PERGAMON-ELSEVIER SCIENCE LTD |
WOS记录号 | WOS:000491956400002 |
资助机构 | Innovation Academy for Green Manufacture, Chinese Academy of Sciences ; National Natural Science Foundation of China ; 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 ; Fund of State Key Laboratory of Multiphase Complex Systems |
内容类型 | 期刊论文 |
源URL | [http://ir.ipe.ac.cn/handle/122111/39016] |
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, 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 |
推荐引用方式 GB/T 7714 | Bian, Wei,Chen, Xizhong,Wang, Junwu. A critical comparison of two-fluid model, discrete particle method and direct numerical simulation for modeling dense gas-solid flow of rough spheres[J]. CHEMICAL ENGINEERING SCIENCE,2019,210:17. |
APA | Bian, Wei,Chen, Xizhong,&Wang, Junwu.(2019).A critical comparison of two-fluid model, discrete particle method and direct numerical simulation for modeling dense gas-solid flow of rough spheres.CHEMICAL ENGINEERING SCIENCE,210,17. |
MLA | Bian, Wei,et al."A critical comparison of two-fluid model, discrete particle method and direct numerical simulation for modeling dense gas-solid flow of rough spheres".CHEMICAL ENGINEERING SCIENCE 210(2019):17. |
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