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EMMS-based discrete particle method (EMMS-DPM) for simulation of gas-solid flows
Alternative TitleChem. Eng. Sci.
Lu, Liqiang1,2; Xu, Ji1; Ge, Wei1; Yue, Yunpeng1; Liu, Xinhua1; Li, Jinghai1
2014-12-16
Source PublicationCHEMICAL ENGINEERING SCIENCE
ISSN0009-2509
Volume120Issue:DECPages:67-87
AbstractUnderstanding the hydrodynamics of gas-solid flows is a grand challenge in mechanical and chemical engineering. The continuum-based two-fluid models (TFM) are currently not accurate enough to describe the multi-scale heterogeneity, while the discrete particle method (DPM) following the trajectory of each particle is computationally infeasible for industrial systems. Following our previous work, we report in this article a coarse-grained DPM considering the meso-scale structure based on the energy-minimization multi-scale (EMMS) model, which can be orders of magnitude faster than the traditional DPM and can take full advantage of CPU-CPU (graphics processing unit) hybrid super-computing. The size and solids concentration of the coarse-grained particles (CGP), as well as their interactions with the gas Row (the drag) are determined by the EMMS model with a two-phase decomposition. The interactions between CGPs are determined according to the kinetic theory of granular flows (KTGF). The method is tested by simulating the onset of fluidization and the steady state flow in lab-scale circulating fluidized bed (CFB) risers with different geometries and operating conditions both in 2D and 3D. The results agree well with experiments and traditional DPM based on single particles. The prospect of this method as a higher-resolution alternative to TEM for engineering applications and even for virtual process engineering is discussed finally. (C) 2014 Elsevier Ltd. All rights reserved; Understanding the hydrodynamics of gas-solid flows is a grand challenge in mechanical and chemical engineering. The continuum-based two-fluid models (TFM) are currently not accurate enough to describe the multi-scale heterogeneity, while the discrete particle method (DPM) following the trajectory of each particle is computationally infeasible for industrial systems. Following our previous work, we report in this article a coarse-grained DPM considering the meso-scale structure based on the energy-minimization multi-scale (EMMS) model, which can be orders of magnitude faster than the traditional DPM and can take full advantage of CPU-CPU (graphics processing unit) hybrid super-computing. The size and solids concentration of the coarse-grained particles (CGP), as well as their interactions with the gas Row (the drag) are determined by the EMMS model with a two-phase decomposition. The interactions between CGPs are determined according to the kinetic theory of granular flows (KTGF). The method is tested by simulating the onset of fluidization and the steady state flow in lab-scale circulating fluidized bed (CFB) risers with different geometries and operating conditions both in 2D and 3D. The results agree well with experiments and traditional DPM based on single particles. The prospect of this method as a higher-resolution alternative to TEM for engineering applications and even for virtual process engineering is discussed finally. (C) 2014 Elsevier Ltd. All rights reserved
KeywordCirculating Fluidized Bed (Cfb) Coarse-graining (Cg) Discrete Particle Method (Dpm) Energy Minimization Multi-scale (Emms) Model Meso-scale Multi-scale
SubtypeArticle
WOS HeadingsScience & Technology ; Technology
DOI10.1016/j.ces.2014.08.004
URL查看原文
Indexed BySCI
Language英语
WOS KeywordCIRCULATING FLUIDIZED-BED ; NUMERICAL-SIMULATION ; EULERIAN SIMULATION ; MULTIPHASE FLOW ; DRAG MODEL ; RISER ; PERFORMANCE ; FORMULATION ; EFM
WOS Research AreaEngineering
WOS SubjectEngineering, Chemical
WOS IDWOS:000344943800007
Citation statistics
Cited Times:70[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ipe.ac.cn/handle/122111/11802
Collection研究所(批量导入)
Affiliation1.Chinese Acad Sci, Inst Proc Engn, State Key Lab Multiphase Complex Syst, Beijing 100190, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
Recommended Citation
GB/T 7714
Lu, Liqiang,Xu, Ji,Ge, Wei,et al. EMMS-based discrete particle method (EMMS-DPM) for simulation of gas-solid flows[J]. CHEMICAL ENGINEERING SCIENCE,2014,120(DEC):67-87.
APA Lu, Liqiang,Xu, Ji,Ge, Wei,Yue, Yunpeng,Liu, Xinhua,&Li, Jinghai.(2014).EMMS-based discrete particle method (EMMS-DPM) for simulation of gas-solid flows.CHEMICAL ENGINEERING SCIENCE,120(DEC),67-87.
MLA Lu, Liqiang,et al."EMMS-based discrete particle method (EMMS-DPM) for simulation of gas-solid flows".CHEMICAL ENGINEERING SCIENCE 120.DEC(2014):67-87.
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