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Assessing the capability of continuum and discrete particle methods to simulate gas-solids flow using DNS predictions as a benchmark
Lu, Liqiang1; Liu, Xiaowen2,3; Li, Tingwen1,4; Wang, Limin2; Ge, Wei2,3; Benyahia, Sofiane1
2017-11-01
Source PublicationPOWDER TECHNOLOGY
ISSN0032-5910
Volume321Issue:NOVPages:301-309
Abstract

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.

KeywordComputational Fluid Dynamics Discrete Element Method Direct Numerical Simulation Fluidized Bed Drag Model Two-fluid Model
SubtypeArticle
WOS HeadingsScience & Technology ; Technology
DOI10.1016/j.powtec.2017.08.034
Indexed BySCI
Language英语
WOS KeywordDIRECT NUMERICAL-SIMULATION ; COMPUTATIONAL FLUID-DYNAMICS ; STRUCTURE-DEPENDENT DRAG ; MFIX-DEM SOFTWARE ; METHOD-EMMS-DPM ; EULERIAN SIMULATION ; MULTISCALE CFD ; HEAT-TRANSFER ; BEDS ; MODEL
WOS Research AreaEngineering
WOS SubjectEngineering, Chemical
Funding OrganizationU.S. Department of Energy and administered by the Oak Ridge Institute for Science and Education ; National Natural Science Foundation of China(91434201)
WOS IDWOS:000412963800031
Citation statistics
Cited Times:7[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ipe.ac.cn/handle/122111/23273
Collection多相复杂系统国家重点实验室
Affiliation1.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
Recommended Citation
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.
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