Assessing the capability of continuum and discrete particle methods to simulate gas-solids flow using DNS predictions as a benchmark
文献类型:期刊论文
作者 | Lu, Liqiang1; Liu, Xiaowen2,3; Li, Tingwen1,4; Wang, Limin2; Ge, Wei2,3; Benyahia, Sofiane1 |
刊名 | POWDER TECHNOLOGY
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出版日期 | 2017-11-01 |
卷号 | 321期号:NOV页码:301-309 |
关键词 | Computational Fluid Dynamics Discrete Element Method Direct Numerical Simulation Fluidized Bed Drag Model Two-fluid Model |
ISSN号 | 0032-5910 |
DOI | 10.1016/j.powtec.2017.08.034 |
文献子类 | Article |
英文摘要 | Gas-solids flow in a three-dimension periodic domain was numerically investigated by direct numerical simulation (DNS), computational fluid dynamic-discrete element method (CFD-DEM) and two-fluid model (TFM). DNS data obtained by finely resolving the flow around every particle are used as a benchmark to assess the validity of coarser DEM and TFM approaches. The CFD-DEM predicts the correct cluster size distribution and under-predicts the macro-scale slip velocity even with a grid size as small as twice the particle diameter. The TFM approach predicts larger cluster size and lower slip velocity with a homogeneous drag correlation. Although the slip velocity can be matched by a simple modification to the drag model, the predicted voidage distribution is still different from DNS: Both CFD-DEM and TFM over-predict the fraction of particles in dense regions and under-predict the fraction of particles in regions of intermediate void fractions. Also, the cluster aspect ratio of DNS is smaller than CFD-DEM and TFM. Since a simple correction to the drag model can predict a correct slip velocity, it is hopeful that drag corrections based on more elaborate theories that consider voidage gradient and particle fluctuations may be able to improve the current predictions of cluster distribution. Published by Elsevier B.V. |
WOS关键词 | DIRECT NUMERICAL-SIMULATION ; COMPUTATIONAL FLUID-DYNAMICS ; STRUCTURE-DEPENDENT DRAG ; MFIX-DEM SOFTWARE ; METHOD-EMMS-DPM ; EULERIAN SIMULATION ; MULTISCALE CFD ; HEAT-TRANSFER ; BEDS ; MODEL |
WOS研究方向 | Engineering |
语种 | 英语 |
WOS记录号 | WOS:000412963800031 |
资助机构 | U.S. Department of Energy and administered by the Oak Ridge Institute for Science and Education ; National Natural Science Foundation of China(91434201) |
源URL | [http://ir.ipe.ac.cn/handle/122111/23273] ![]() |
专题 | 过程工程研究所_多相复杂系统国家重点实验室 |
作者单位 | 1.Natl Energy Technol Lab, Morgantown, WV 26507 USA 2.Chinese Acad Sci, IPE, State Key Lab Multiphase Complex Syst, Beijing 100190, Peoples R China 3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 4.AECOM, Morgantown, WV 26505 USA |
推荐引用方式 GB/T 7714 | Lu, Liqiang,Liu, Xiaowen,Li, Tingwen,et al. Assessing the capability of continuum and discrete particle methods to simulate gas-solids flow using DNS predictions as a benchmark[J]. POWDER TECHNOLOGY,2017,321(NOV):301-309. |
APA | Lu, Liqiang,Liu, Xiaowen,Li, Tingwen,Wang, Limin,Ge, Wei,&Benyahia, Sofiane.(2017).Assessing the capability of continuum and discrete particle methods to simulate gas-solids flow using DNS predictions as a benchmark.POWDER TECHNOLOGY,321(NOV),301-309. |
MLA | Lu, Liqiang,et al."Assessing the capability of continuum and discrete particle methods to simulate gas-solids flow using DNS predictions as a benchmark".POWDER TECHNOLOGY 321.NOV(2017):301-309. |
入库方式: OAI收割
来源:过程工程研究所
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