EMMS-based discrete particle method (EMMS-DPM) for simulation of gas-solid flows
文献类型:期刊论文
作者 | Lu, Liqiang1,2; Xu, Ji1; Ge, Wei1; Yue, Yunpeng1; Liu, Xinhua1; Li, Jinghai1 |
刊名 | CHEMICAL ENGINEERING SCIENCE
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出版日期 | 2014-12-16 |
卷号 | 120期号:DEC页码:67-87 |
关键词 | Circulating fluidized bed (CFB) Coarse-graining (CG) Discrete particle method (DPM) Energy minimization multi-scale (EMMS) model Meso-scale Multi-scale |
ISSN号 | 0009-2509 |
其他题名 | Chem. Eng. Sci. |
中文摘要 | 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 |
英文摘要 | 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 |
WOS标题词 | Science & Technology ; Technology |
类目[WOS] | Engineering, Chemical |
研究领域[WOS] | Engineering |
关键词[WOS] | CIRCULATING FLUIDIZED-BED ; NUMERICAL-SIMULATION ; EULERIAN SIMULATION ; MULTIPHASE FLOW ; DRAG MODEL ; RISER ; PERFORMANCE ; FORMULATION ; EFM |
收录类别 | SCI |
原文出处 | |
语种 | 英语 |
WOS记录号 | WOS:000344943800007 |
公开日期 | 2015-04-01 |
源URL | [http://ir.ipe.ac.cn/handle/122111/11802] ![]() |
专题 | 过程工程研究所_研究所(批量导入) |
作者单位 | 1.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 |
推荐引用方式 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. |
入库方式: OAI收割
来源:过程工程研究所
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