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Huang R, Ma Y, Li H, Sun C, Liu J, Zhang S, Wang H, Hao B. Operation parameters multi-objective optimization method of large vertical mill based on CFD-DPM. ADV POWDER TECHNOL 2023. [DOI: 10.1016/j.apt.2023.104014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/03/2023]
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2
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Munck M, Gelder J, Peters E, Kuipers J. A detailed gas-solid fluidized bed comparison study on CFD-DEM coarse-graining techniques. Chem Eng Sci 2023. [DOI: 10.1016/j.ces.2022.118441] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
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3
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A coarse grain model with parameter scaling of adhesion forces from liquid bridge forces and JKR theory in the discrete element method. Chem Eng Sci 2022. [DOI: 10.1016/j.ces.2022.118428] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
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4
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On POD-based modal analysis in simulations of granular flows. POWDER TECHNOL 2022. [DOI: 10.1016/j.powtec.2022.118058] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
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5
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Kawashima K, Shirzadi M, Fukasawa T, Fukui K, Tsuru T, Ishigami T. Numerical modeling for particulate flow through realistic microporous structure of microfiltration membrane: Direct numerical simulation coordinated with focused ion beam scanning electron microscopy. POWDER TECHNOL 2022. [DOI: 10.1016/j.powtec.2022.117872] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/15/2022]
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6
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Zhou L, Ma H, Liu Z, Zhao Y. Development and verification of coarse‐grain CFD‐DEM for non‐spherical particles in a gas‐solid fluidized bed. AIChE J 2022. [DOI: 10.1002/aic.17876] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Affiliation(s)
- Lianyong Zhou
- Institute of Process Equipment, College of Energy Engineering Zhejiang University Hangzhou China
| | - Huaqing Ma
- Institute of Process Equipment, College of Energy Engineering Zhejiang University Hangzhou China
| | - Zihan Liu
- Institute of Process Equipment, College of Energy Engineering Zhejiang University Hangzhou China
| | - Yongzhi Zhao
- Institute of Process Equipment, College of Energy Engineering Zhejiang University Hangzhou China
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7
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Li S, Duan G, Sakai M. Development of a reduced-order model for large-scale Eulerian–Lagrangian simulations. ADV POWDER TECHNOL 2022. [DOI: 10.1016/j.apt.2022.103632] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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8
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Shi Q, Sakai M. Recent progress on the discrete element method simulations for powder transport systems: A review. ADV POWDER TECHNOL 2022. [DOI: 10.1016/j.apt.2022.103664] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022]
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9
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Liao J, Zhu L, Luo Z. Heterogeneity analysis of gas–solid flow hydrodynamics in a pilot-scale fluidized bed reactor. Chin J Chem Eng 2022. [DOI: 10.1016/j.cjche.2022.07.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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10
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Lan B, Zhao P, Xu J, Zhao B, Zhai M, Wang J. CFD-DEM-IBM simulation of particle drying processes in gas-fluidized beds. Chem Eng Sci 2022. [DOI: 10.1016/j.ces.2022.117653] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
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11
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Napolitano ES, Di Renzo A, Di Maio FP. Coarse-grain DEM-CFD modelling of dense particle flow in Gas–Solid cyclone. Sep Purif Technol 2022. [DOI: 10.1016/j.seppur.2022.120591] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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12
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Duan G, Yamaji A, Sakai M. A multiphase MPS method coupling fluid–solid interaction/phase-change models with application to debris remelting in reactor lower plenum. ANN NUCL ENERGY 2022. [DOI: 10.1016/j.anucene.2021.108697] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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13
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Zhao P, Xu J, Chang Q, Ge W, Wang J. Euler-Lagrange simulation of dense gas-solid flow with local grid refinement. POWDER TECHNOL 2022. [DOI: 10.1016/j.powtec.2022.117199] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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14
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POD-based identification approach for powder mixing mechanism in Eulerian–Lagrangian simulations. ADV POWDER TECHNOL 2022. [DOI: 10.1016/j.apt.2021.11.016] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
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15
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Joubert JC, Govender N, Wilke DN, Pizette P. A meshless Lagrangian particle-based porosity formulation for under-resolved generalised finite difference-DEM coupling in fluidised beds. POWDER TECHNOL 2022. [DOI: 10.1016/j.powtec.2021.117079] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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16
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A particle location based multi-level coarse-graining technique for Discrete Element Method (DEM) simulation. POWDER TECHNOL 2022. [DOI: 10.1016/j.powtec.2021.117058] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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17
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Influence of model particle size and spatial resolution in coarse-graining DEM-CFD simulation. ADV POWDER TECHNOL 2021. [DOI: 10.1016/j.apt.2021.08.012] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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18
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Kanjilal S, Schneiderbauer S. A revised coarse-graining approach for simulation of highly poly-disperse granular flows. POWDER TECHNOL 2021. [DOI: 10.1016/j.powtec.2021.02.015] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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19
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Rozy MIF, Maemoto Y, Ueda M, Fukasawa T, Ishigami T, Fukui K, Sakai M, Mino Y, Gotoh K. Direct numerical simulation of permeation of particles through a realistic fibrous filter obtained from X-ray computed tomography images utilizing signed distance function. POWDER TECHNOL 2021. [DOI: 10.1016/j.powtec.2021.02.072] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
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20
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Tsugeno Y, Sakai M, Yamazaki S, Nishinomiya T. DEM simulation for optimal design of powder mixing in a ribbon mixer. ADV POWDER TECHNOL 2021. [DOI: 10.1016/j.apt.2021.03.026] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
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21
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Yu Y, Li Y, Chen X, Duan F, Zhou Q. Improvement of the Coarse-Grained Discrete Element Method for Frictional Particles. Ind Eng Chem Res 2021. [DOI: 10.1021/acs.iecr.0c06340] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Yaxiong Yu
- School of Chemical Engineering and Technology, Xi’an Jiaotong University, Xi’an 710049, China
| | - Yu Li
- School of Chemical Engineering and Technology, Xi’an Jiaotong University, Xi’an 710049, China
| | - Xiao Chen
- School of Chemical Engineering and Technology, Xi’an Jiaotong University, Xi’an 710049, China
| | - Fan Duan
- School of Chemical Engineering and Technology, Xi’an Jiaotong University, Xi’an 710049, China
| | - Qiang Zhou
- School of Chemical Engineering and Technology, Xi’an Jiaotong University, Xi’an 710049, China
- State Key Laboratory of Multiphase Flow in Power Engineering, Xi’an Jiaotong University, Xi’an 710049, China
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Li JS, Zhu LT, Yan WC, Rashid TAB, Xu QJ, Luo ZH. Coarse-grid simulations of full-loop gas-solid flows using a hybrid drag model: Investigations on turbulence models. POWDER TECHNOL 2021. [DOI: 10.1016/j.powtec.2020.10.052] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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23
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Zhou L, Zhao Y. CFD-DEM simulation of fluidized bed with an immersed tube using a coarse-grain model. Chem Eng Sci 2021. [DOI: 10.1016/j.ces.2020.116290] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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Abstract
In the last decade, a few of the early attempts to bring CFD-DEM of fluidized beds beyond the limits of small, lab-scale units to larger scale systems have become popular. The simulation capabilities of the Discrete Element Method in multiphase flow and fluidized beds have largely benefitted by the improvements offered by coarse graining approaches. In fact, the number of real particles that can be simulated increases to the point that pilot-scale and some industrially relevant systems become approachable. Methodologically, coarse graining procedures have been introduced by various groups, resting on different physical backgrounds. The present review collects the most relevant contributions, critically proposing them within a unique, consistent framework for the derivations and nomenclature. Scaling for the contact forces, with the linear and Hertz-based approaches, for the hydrodynamic and cohesive forces is illustrated and discussed. The orders of magnitude computational savings are quantified as a function of the coarse graining degree. An overview of the recent applications in bubbling, spouted beds and circulating fluidized bed reactors is presented. Finally, new scaling, recent extensions and promising future directions are discussed in perspective. In addition to providing a compact compendium of the essential aspects, the review aims at stimulating further efforts in this promising field.
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Li S, Kajiwara S, Sakai M. Numerical investigation on the mixing mechanism in a cross-torus paddle mixer using the DEM-CFD method. POWDER TECHNOL 2021. [DOI: 10.1016/j.powtec.2020.08.085] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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Huang A, Cheng T, Hsu W, Huang C, Kuo H. DEM study of particle segregation in a rotating drum with internal diameter variations. POWDER TECHNOL 2021. [DOI: 10.1016/j.powtec.2020.10.019] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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Lin J, Luo K, Wang S, Hu C, Fan J. An augmented coarse-grained CFD-DEM approach for simulation of fluidized beds. ADV POWDER TECHNOL 2020. [DOI: 10.1016/j.apt.2020.09.014] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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28
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On artificial density treatment for the pressure Poisson equation in the DEM-CFD simulations. POWDER TECHNOL 2020. [DOI: 10.1016/j.powtec.2020.05.116] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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Takabatake K, Sakai M. Flexible discretization technique for DEM-CFD simulations including thin walls. ADV POWDER TECHNOL 2020. [DOI: 10.1016/j.apt.2020.02.017] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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Lu L, Yu J, Gao X, Xu Y, Shahnam M, Rogers WA. Experimental and numerical investigation of sands and Geldart A biomass co‐fluidization. AIChE J 2020. [DOI: 10.1002/aic.16969] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Affiliation(s)
- Liqiang Lu
- National Energy Technology Laboratory Morgantown West Virginia US
- Leidos Research Support Team Morgantown West Virginia US
| | - Jia Yu
- National Energy Technology Laboratory Morgantown West Virginia US
| | - Xi Gao
- National Energy Technology Laboratory Morgantown West Virginia US
- Leidos Research Support Team Morgantown West Virginia US
| | - Yupeng Xu
- National Energy Technology Laboratory Morgantown West Virginia US
- Leidos Research Support Team Morgantown West Virginia US
| | - Mehrdad Shahnam
- National Energy Technology Laboratory Morgantown West Virginia US
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Xie Z, Shen Y, Takabatake K, Yamaguchi A, Sakai M. Coarse-grained DEM study of solids sedimentation in water. POWDER TECHNOL 2020. [DOI: 10.1016/j.powtec.2019.11.034] [Citation(s) in RCA: 45] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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33
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Rozy MIF, Ueda M, Fukasawa T, Ishigami T, Fukui K. Direct numerical simulation and experimental validation of flow resistivity of nonwoven fabric filter. AIChE J 2019. [DOI: 10.1002/aic.16832] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
- Mohammad Irwan F. Rozy
- Department of Chemical Engineering, Graduate School of Engineering Hiroshima University Higashi‐Hiroshima Hiroshima Japan
| | - Masaki Ueda
- Department of Chemical Engineering, Graduate School of Engineering Hiroshima University Higashi‐Hiroshima Hiroshima Japan
| | - Tomonori Fukasawa
- Department of Chemical Engineering, Graduate School of Engineering Hiroshima University Higashi‐Hiroshima Hiroshima Japan
| | - Toru Ishigami
- Department of Chemical Engineering, Graduate School of Engineering Hiroshima University Higashi‐Hiroshima Hiroshima Japan
| | - Kunihiro Fukui
- Department of Chemical Engineering, Graduate School of Engineering Hiroshima University Higashi‐Hiroshima Hiroshima Japan
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A material-property-dependent sub-grid drag model for coarse-grained simulation of 3D large-scale CFB risers. Chem Eng Sci 2019. [DOI: 10.1016/j.ces.2019.04.026] [Citation(s) in RCA: 45] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
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