1
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Hu S, Liu X. 3D CFD-PBM simulation of gas-solid bubbling beds of Geldart A particles with sub-grid drag correction. Chem Eng Sci 2023. [DOI: 10.1016/j.ces.2023.118660] [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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Wen ZQ, Zhang XB, Luo ZH. A Unified CFD Methodology for Gas-Solid Fluidized Beds Based on the Quasi-Three-Fluid Approach. Chem Eng Sci 2023. [DOI: 10.1016/j.ces.2023.118645] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/18/2023]
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3
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Mirzaei M, Jensen PA, Nakhaei M, Wu H, Zakrzewski S, Zhou H, Lin W. CFD-DDPM coupled with an agglomeration model for simulation of highly loaded large-scale cyclones: Sensitivity analysis of sub-models and model parameters. POWDER TECHNOL 2023. [DOI: 10.1016/j.powtec.2022.118036] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
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4
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Milioli CC, Milioli FE. A scale sensitive filtered sub-grid drag model for fluidized gas-particle flows. Chem Eng Sci 2022. [DOI: 10.1016/j.ces.2022.118266] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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5
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Ouyang B, Zhu LT, Luo ZH. Machine learning for full spatiotemporal acceleration of gas-particle flow simulations. POWDER TECHNOL 2022. [DOI: 10.1016/j.powtec.2022.117701] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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6
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Ahmad N, Deng J, Adnan M. Numerical investigation for the suitable choice of bubble diameter correlation for EMMS/bubbling drag model. Chin J Chem Eng 2022. [DOI: 10.1016/j.cjche.2021.10.006] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
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7
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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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8
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Oloruntoba A, Zhang Y, Xiao H. Hydrodynamics-reaction-coupled simulations in a low-scale batch FCC regenerator: Comparison between an annular and a free-bubbling fluidized beds. POWDER TECHNOL 2022. [DOI: 10.1016/j.powtec.2022.117608] [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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9
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Xu X, Li C, Gao X. Coarse-Grained DEM–CFD Simulation of Fluidization Behavior of Irregular Shape Sand Particles. Ind Eng Chem Res 2022. [DOI: 10.1021/acs.iecr.2c00891] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Xiaomeng Xu
- Department of Chemical Engineering, Guangdong Technion-Israel Institute of Technology, Shantou 515063, China
- Wolfson Department of Chemical Engineering, Technion-Israel Institute of Technology, Haifa 3200003, Israel
| | - Cheng Li
- Department of Mechanical Engineering, Guangdong Technion-Israel Institute of Technology, Shantou 515063, China
- Department of Mechanical Engineering, Technion-Israel Institute of Technology, Haifa 3200003, Israel
- Guangdong Provincial Key Laboratory of Materials and Technologies for Energy Conversion, Guangdong Technion-Israel Institute of Technology, Shantou 515063, China
| | - Xi Gao
- Department of Chemical Engineering, Guangdong Technion-Israel Institute of Technology, Shantou 515063, China
- Wolfson Department of Chemical Engineering, Technion-Israel Institute of Technology, Haifa 3200003, Israel
- Guangdong Provincial Key Laboratory of Materials and Technologies for Energy Conversion, Guangdong Technion-Israel Institute of Technology, Shantou 515063, China
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10
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Du C, Han C, Yang Z, Wu H, Luo H, Niedzwiecki L, Lu B, Wang W. Multiscale CFD Simulation of an Industrial Diameter-Transformed Fluidized Bed Reactor with Artificial Neural Network Analysis of EMMS Drag Markers. Ind Eng Chem Res 2022. [DOI: 10.1021/acs.iecr.2c00396] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Chengzhe Du
- State Key Laboratory of Multiphase Complex Systems, Institute of Process Engineering, Chinese Academy of Sciences, Beijing 100190, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Caixia Han
- State Key Laboratory of Multiphase Complex Systems, Institute of Process Engineering, Chinese Academy of Sciences, Beijing 100190, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Zhuo Yang
- State Key Laboratory of Multiphase Complex Systems, Institute of Process Engineering, Chinese Academy of Sciences, Beijing 100190, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Hao Wu
- University of Chinese Academy of Sciences, Beijing 100049, China
- Department of Chemical and Biochemical Engineering, Technical University of Denmark, 2800 Kongens Lyngby, Denmark
| | - Hao Luo
- School of Chemistry and Chemical Engineering, Wuhan University of Science and Technology, Wuhan, Hubei 430081, China
| | - Lukasz Niedzwiecki
- Department of Mechanics, Machines, Devices and Energy Processes, Wrocław University of Science and Technology, Wrocław 50-370, Poland
| | - Bona Lu
- State Key Laboratory of Multiphase Complex Systems, Institute of Process Engineering, Chinese Academy of Sciences, Beijing 100190, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Wei Wang
- State Key Laboratory of Multiphase Complex Systems, Institute of Process Engineering, Chinese Academy of Sciences, Beijing 100190, China
- University of Chinese Academy of Sciences, Beijing 100049, China
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11
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Using mesoscale drag model-augmented coarse-grid simulation to design fluidized bed reactor: Effect of bed internals and sizes. Chem Eng Sci 2022. [DOI: 10.1016/j.ces.2022.117547] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
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12
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Yang Y, Zhang Q, Pan T, Qu Y, Liu X, Li X, Cheng Y, Wang L, Liu W. The hydrodynamics of low-density particles and optimization of the EMMS calculation process. POWDER TECHNOL 2022. [DOI: 10.1016/j.powtec.2022.117511] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
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13
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14
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State-of-the-Art Review of Fluid Catalytic Cracking (FCC) Catalyst Regeneration Intensification Technologies. ENERGIES 2022. [DOI: 10.3390/en15062061] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
Fluid catalytic cracking (FCC) is the workhorse of modern crude oil refinery. Its regenerator plays a critical role in optimizing the overall profitability by efficiently restoring the catalyst activity and enhancing the heat balance in the riser reactor. Improvement in the device metallurgy and process operations have enabled industrial regenerators to operate at high temperatures with a better coke burning rate and longer operating cycle. Today, the carbon content of regenerated catalyst has drastically reduced to less than 0.1 wt.%. However, the unit is still plagued with operational complexities and insufficient understanding of the underlying dynamic, multiscale intricacies. Recent process-intensification strategies provide insights into regenerator performance improvement potentials. In this review, the importance of the uniform distribution of spent catalysts through structural modification and operational manipulations of the catalyst distributor is discussed. The knowledge of the role of baffles in enhancing excellent gas–solid interaction has been increasing, but skepticism due to its complex hydrodynamic effects on gas–solid flows fends off operators from its application, a critical evaluation of its implication in the regenerators is covered. The understanding of the contribution of air/steam distributor design and feed gas injection techniques for even contact with spent catalyst leading to the improvement in FCC performance is also investigated. The reliability of FCC components is equally a big concern, as unplanned shutdown and enormous economic losses are being witnessed due to device failure. To this end, mitigation approaches to damaging afterburn and high-temperature erosion problems with respect to process control and geometric adjustment in the bed, freeboard, cyclone separators and collection ducts are explored. Emission limits for fluid catalytic cracking unit (FCCU) and products are consistently ratcheting downward; the commingled turnkey solutions to reducing pollutants generation are also reviewed.
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15
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Mirzaei M, Jensen PA, Nakhaei M, Wu H, Zakrzewski S, Zhou H, Lin W. A hybrid multiphase model accounting for particle agglomeration for coarse-grid simulation of dense solid flow inside large-scale cyclones. POWDER TECHNOL 2022. [DOI: 10.1016/j.powtec.2022.117186] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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16
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Ouyang B, Zhu LT, Su YH, Luo ZH. A hybrid mesoscale closure combining CFD and deep learning for coarse-grid prediction of gas-particle flow dynamics. Chem Eng Sci 2022. [DOI: 10.1016/j.ces.2021.117268] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
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17
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18
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Oloruntoba A, Zhang Y, Xiao H. Study on effect of gas distributor in fluidized bed reactors by hydrodynamics-reaction-coupled simulations. Chem Eng Res Des 2022. [DOI: 10.1016/j.cherd.2021.10.031] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
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19
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Tian Y, Geng J, Wang W. On the choice of mesoscale drag markers. AIChE J 2021. [DOI: 10.1002/aic.17558] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Affiliation(s)
- Yujie Tian
- State Key Laboratory of Multiphase Complex Systems, Institute of Process Engineering Chinese Academy of Sciences Beijing China
- School of Chemical Engineering University of Chinese Academy of Sciences Beijing China
| | - Jingwei Geng
- State Key Laboratory of Multiphase Complex Systems, Institute of Process Engineering Chinese Academy of Sciences Beijing China
- School of Chemical Engineering University of Chinese Academy of Sciences Beijing China
| | - Wei Wang
- State Key Laboratory of Multiphase Complex Systems, Institute of Process Engineering Chinese Academy of Sciences Beijing China
- School of Chemical Engineering University of Chinese Academy of Sciences Beijing China
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20
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Lu L, Gao X, Dietiker JF, Shahnam M, Rogers WA. Development of a Filtered CFD-DEM Drag Model with Multiscale Markers Using an Artificial Neural Network and Nonlinear Regression. Ind Eng Chem Res 2021. [DOI: 10.1021/acs.iecr.1c03644] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Liqiang Lu
- National Energy Technology Laboratory, 3610 Collins Ferry Road, Morgantown, West Virginia 26507, United States
- NETL Support Contractor, 3610 Collins Ferry Road, Morgantown, West Virginia 26507, United States
| | - Xi Gao
- Department of Chemical Engineering, Guangdong Technion-Israel Institute of Technology, 241 Daxue Road, Shantou, Guangdong 515063, China
| | - Jean-François Dietiker
- National Energy Technology Laboratory, 3610 Collins Ferry Road, Morgantown, West Virginia 26507, United States
- NETL Support Contractor, 3610 Collins Ferry Road, Morgantown, West Virginia 26507, United States
| | - Mehrdad Shahnam
- National Energy Technology Laboratory, 3610 Collins Ferry Road, Morgantown, West Virginia 26507, United States
| | - William A. Rogers
- National Energy Technology Laboratory, 3610 Collins Ferry Road, Morgantown, West Virginia 26507, United States
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21
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Wang H, Lu Y. Mesoscale-Structure-Dependent EMMS Drag Model for an SCW Fluidized Bed: Formulation of Conservation Equations Based on Structures in Subphases. Ind Eng Chem Res 2021. [DOI: 10.1021/acs.iecr.1c03566] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Hao Wang
- State Key Laboratory of Multiphase Flow in Power Engineering, Xi’an Jiaotong University, Xi’an 710049, Shaanxi, China
| | - Youjun Lu
- State Key Laboratory of Multiphase Flow in Power Engineering, Xi’an Jiaotong University, Xi’an 710049, Shaanxi, China
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22
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Singh BK, Roy S, Buwa VV. Eulerian Simulations of Bubbling Behavior in a Gas–Solid Fluidized Bed: Role of Solid Frictional Viscosity. Ind Eng Chem Res 2021. [DOI: 10.1021/acs.iecr.1c02591] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Brajesh K. Singh
- Department of Chemical Engineering, Indian Institute of Technology Delhi, New Delhi 110016, India
| | - Shantanu Roy
- Department of Chemical Engineering, Indian Institute of Technology Delhi, New Delhi 110016, India
| | - Vivek V. Buwa
- Department of Chemical Engineering, Indian Institute of Technology Delhi, New Delhi 110016, India
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23
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Yang Z, Lu B, Wang W. Coupling Artificial Neural Network with EMMS drag for simulation of dense fluidized beds. Chem Eng Sci 2021. [DOI: 10.1016/j.ces.2021.117003] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
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24
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Du S, Liu L. A bubble structure dependent drag model for
CFD
simulation of bi‐disperse gas‐solid flow in bubbling fluidizations. CAN J CHEM ENG 2021. [DOI: 10.1002/cjce.24053] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Affiliation(s)
- Shaohua Du
- School of Chemical Engineering and Technology Xi'an Jiaotong University Xi'an China
| | - Lijun Liu
- Key Laboratory of Thermo‐Fluid Science and Engineering, Ministry of Education, School of Energy and Power Engineering, Xi'an Jiaotong University Xi'an China
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25
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26
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Sun Z, Zhu J. A four-quadrant flow regime map for two-phase liquid-solids and gas-solids fluidization systems. POWDER TECHNOL 2021. [DOI: 10.1016/j.powtec.2021.08.050] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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27
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Experiment and computational fluid dynamics investigation of biochar elutriation in fluidized bed. AIChE J 2021. [DOI: 10.1002/aic.17506] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
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28
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Gas-solid-liquid reactive CFD simulation of an industrial RFCC riser with investigation of feed injection. Chem Eng Sci 2021. [DOI: 10.1016/j.ces.2021.116740] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
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29
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CFD-DEM study of bubble properties in a cylindrical fluidized bed of Geldart Group D particles and comparison with prior MRI data. POWDER TECHNOL 2021. [DOI: 10.1016/j.powtec.2021.04.075] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
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30
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Liu Y, Li G, Zhang Y, Zhang L. Hydrodynamics of Irregular-Shaped Graphite Particles in Coaxial Two-Phase Jet Flow. ACS OMEGA 2021; 6:16631-16640. [PMID: 34235335 PMCID: PMC8246704 DOI: 10.1021/acsomega.1c02053] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/17/2021] [Accepted: 06/08/2021] [Indexed: 06/13/2023]
Abstract
Expanded graphite particle is characterized by the low density in comparison with those of bead glass and copper particles. Hydrodynamics of the irregular-shaped graphite particle swirling flows in a coaxial chamber are investigated via an improved kinetic frictional stress model. A drag force coefficient considering the effects of irregular shapes based on the artificial neural network algorithm is adopted to describe the momentum transfer between nonspherical particles and gas phases. The proposed model, algorithm, and source code for modeling and simulation are validated by measurement using spherical glass beads, and acceptable agreement is obtained. Lower sphericity particles enhance the anisotropic particle dispersions and induces the redistributions of the Reynolds stresses of the two-phase flow. Irregular-shaped particles are more sensitive to the gas followability instead of own inertia, whereas spherical particles are easier to be affected by the inlet effects. The interlock force between nonspherical particles takes great effect on particle flow than the spherical particle. The axial-axial normal stresses of sphericities of 0.63 and 0.72 are approximately 3.4 times larger than those of shear stress of spherical particle, and their axial velocities locating at near central regions are 3.0 times larger than those of sphericities.
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Affiliation(s)
- Yang Liu
- School
of Aerospace Engineering, Taizhou University, Zhejiang 318000, China
- Department
of Engineering Mechanics, Tsinghua University, Beijing 10084, China
| | - Guohui Li
- School
of Electronic and Information Engineering, Dalian Jiaotong University, Dalian 116028, China
| | - Yongju Zhang
- School
of Aerospace Engineering, Taizhou University, Zhejiang 318000, China
| | - Li Zhang
- School
of Aerospace Engineering, Taizhou University, Zhejiang 318000, China
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31
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Norouzi HR, Golshan S, Zarghami R. On the drag force closures for multiphase flow modeling. CHEMICAL PRODUCT AND PROCESS MODELING 2021. [DOI: 10.1515/cppm-2020-0103] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Abstract
Drag force models are one of the most important factors that can affect TFM and CFD-DEM simulation results of two-phase systems. This article investigates the accuracies, implementation issues and limitations of the majority of the drag models for spherical, non-spherical and systems with size distribution and evaluates their performance in various simulations. Around 1888 data points were collected from 19 different sources to evaluate the drag force closures on mono-dispersed spherical particles. The Reynolds number and fluid volume fraction ranges were between 0.01 and 10,000 and between 0.33 and 1, respectively. In addition, 776 data points were collected from seven different sources to evaluate the drag force closures on poly-dispersed spherical particles. The Reynolds numbers were between 0.01 and 500, fluid volume fractions between 0.33 and 0.9, and diameter ratios up to 10. A comprehensive discussion on the accuracy and application of these models is given in the article.
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Affiliation(s)
- Hamid Reza Norouzi
- Department of Chemical Engineering , Center of Engineering and Multiscale Modeling of Fluid Flow (CEMF), Amirkabir University of Technology , PO Box: 15875-4413, Hafez 424 , Tehran , Iran
| | - Shahab Golshan
- Process Design and Simulation Research Center , School of Chemical Engineering, College of Engineering, University of Tehran , P.O. Box 11155-4563 , Tehran , Iran
| | - Reza Zarghami
- Process Design and Simulation Research Center , School of Chemical Engineering, College of Engineering, University of Tehran , P.O. Box 11155-4563 , Tehran , Iran
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32
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Zhu L, Ouyang B, Lei H, Luo Z. Conventional and
data‐driven
modeling of filtered drag, heat transfer, and reaction rate in
gas–particle
flows. AIChE J 2021. [DOI: 10.1002/aic.17299] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Affiliation(s)
- Li‐Tao Zhu
- Department of Chemical Engineering, School of Chemistry and Chemical Engineering, State Key Laboratory of Metal Matrix Composites Shanghai Jiao Tong University Shanghai People's Republic of China
| | - Bo Ouyang
- Department of Chemical Engineering, School of Chemistry and Chemical Engineering, State Key Laboratory of Metal Matrix Composites Shanghai Jiao Tong University Shanghai People's Republic of China
| | - He Lei
- Department of Chemical Engineering, School of Chemistry and Chemical Engineering, State Key Laboratory of Metal Matrix Composites Shanghai Jiao Tong University Shanghai People's Republic of China
| | - Zheng‐Hong Luo
- Department of Chemical Engineering, School of Chemistry and Chemical Engineering, State Key Laboratory of Metal Matrix Composites Shanghai Jiao Tong University Shanghai People's Republic of China
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33
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Ouyang B, Zhu L, Luo Z. Data‐driven modeling of mesoscale solids stress closures for filtered two‐fluid model in gas–particle flows. AIChE J 2021. [DOI: 10.1002/aic.17290] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Affiliation(s)
- Bo Ouyang
- Department of Chemical Engineering, School of Chemistry and Chemical Engineering, State Key Laboratory of Metal Matrix Composites Shanghai Jiao Tong University Shanghai PR China
| | - Li‐Tao Zhu
- Department of Chemical Engineering, School of Chemistry and Chemical Engineering, State Key Laboratory of Metal Matrix Composites Shanghai Jiao Tong University Shanghai PR China
| | - Zheng‐Hong Luo
- Department of Chemical Engineering, School of Chemistry and Chemical Engineering, State Key Laboratory of Metal Matrix Composites Shanghai Jiao Tong University Shanghai PR China
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34
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Varghese MM, Vakamalla TR, Mantravadi B, Mangadoddy N. Effect of Drag Models on the Numerical Simulations of Bubbling and Turbulent Fluidized Beds. Chem Eng Technol 2021. [DOI: 10.1002/ceat.202000516] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Affiliation(s)
- Mona Mary Varghese
- National Institute of Technology Calicut Department of Chemical Engineering 673601 Kerala India
| | - Teja Reddy Vakamalla
- National Institute of Technology Calicut Department of Chemical Engineering 673601 Kerala India
| | - Bhargav Mantravadi
- Amrita Vishwa Vidyapeetham Department of Mechanical Engineering 641112 Tamil Nadu India
| | - Narasimha Mangadoddy
- Indian Institute of Technology Hyderabad Department of Chemical Engineering 502285 Telangana India
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35
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Xi K, Guo Q, Boyce CM. Comparison of Two-Fluid Model Simulations of Freely Bubbling Three-Dimensional Gas-Fluidized Beds with Magnetic Resonance Imaging Results. Ind Eng Chem Res 2021. [DOI: 10.1021/acs.iecr.1c00050] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Kenan Xi
- Department of Chemical Engineering, Columbia University, New York, New York 10027-6902, United States
- State Key Laboratory of Multiphase Flow in Power Engineering, Xi’an Jiaotong University, Xi’an, Shaanxi 710049, P.R. China
| | - Qiang Guo
- Department of Chemical Engineering, Columbia University, New York, New York 10027-6902, United States
| | - Christopher M. Boyce
- Department of Chemical Engineering, Columbia University, New York, New York 10027-6902, United States
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36
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Lu L, Gao X, Shahnam M, Rogers WA. Open source implementation of glued sphere discrete element method and nonspherical biomass fast pyrolysis simulation. AIChE J 2021. [DOI: 10.1002/aic.17211] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
- Liqiang Lu
- National Energy Technology Laboratory Morgantown West Virginia USA
- Leidos Research Support Team Morgantown West Virginia USA
| | - Xi Gao
- National Energy Technology Laboratory Morgantown West Virginia USA
- Leidos Research Support Team Morgantown West Virginia USA
| | - Mehrdad Shahnam
- National Energy Technology Laboratory Morgantown West Virginia USA
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37
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Guo Q, Padash A, Boyce CM. A two fluid modeling study of bubble collapse due to bubble interaction in a fluidized bed. Chem Eng Sci 2021. [DOI: 10.1016/j.ces.2020.116377] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
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38
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Predicting cold gas-solid flow in a pilot-scale dual-circulating fluidized bed: Validation of computational particle fluid dynamics model. POWDER TECHNOL 2021. [DOI: 10.1016/j.powtec.2020.11.070] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
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39
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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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40
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41
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Huang Z, Wang L, Zhou Q. Development of a filtered reaction rate model for reactive
gas–solid
flows based on
fine‐grid
simulations. AIChE J 2021. [DOI: 10.1002/aic.17185] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Affiliation(s)
- Zheqing Huang
- School of Chemical Engineering and Technology Xi'an Jiaotong University Xi'an China
- Shaanxi Key Laboratory of Energy Chemical Process Intensification Xi'an Jiaotong University Xi'an China
| | - Lingxue Wang
- School of Chemical Engineering and Technology Xi'an Jiaotong University Xi'an China
- Shaanxi Key Laboratory of Energy Chemical Process Intensification Xi'an Jiaotong University Xi'an China
| | - Qiang Zhou
- School of Chemical Engineering and Technology Xi'an Jiaotong University Xi'an China
- State Key Laboratory of Multiphase Flow in Power Engineering Xi'an Jiaotong University Xi'an China
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Yu J, Gao X, Lu L, Xu Y, Li C, Li T, Rogers WA. Validation of a filtered drag model for solid residence time distribution (RTD) prediction in a pilot-scale FCC riser. POWDER TECHNOL 2021. [DOI: 10.1016/j.powtec.2020.10.007] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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Analysis and development of homogeneous drag closure for filtered mesoscale modeling of fluidized gas-particle flows. Chem Eng Sci 2021. [DOI: 10.1016/j.ces.2020.116147] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
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Nikolopoulos A, Samlis C, Zeneli M, Nikolopoulos N, Karellas S, Grammelis P. Introducing an artificial neural network energy minimization multi-scale drag scheme for fluidized particles. Chem Eng Sci 2021. [DOI: 10.1016/j.ces.2020.116013] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Lei H, Zhu L, Luo Z. Study of filtered interphase heat transfer using
highly resolved CFD–DEM
simulations. AIChE J 2020. [DOI: 10.1002/aic.17121] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Affiliation(s)
- He Lei
- Department of Chemical Engineering, School of Chemistry and Chemical Engineering, State Key Laboratory of Metal Matrix Composites Shanghai Jiao Tong University Shanghai China
| | - Li‐Tao Zhu
- Department of Chemical Engineering, School of Chemistry and Chemical Engineering, State Key Laboratory of Metal Matrix Composites Shanghai Jiao Tong University Shanghai China
| | - Zheng‐Hong Luo
- Department of Chemical Engineering, School of Chemistry and Chemical Engineering, State Key Laboratory of Metal Matrix Composites Shanghai Jiao Tong University Shanghai China
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Yu J, Lu L, Gao X, Xu Y, Shahnam M, Rogers WA. Coupling reduced‐order modeling and coarse‐grained
CFD‐DEM
to accelerate coal gasifier simulation and optimization. AIChE J 2020. [DOI: 10.1002/aic.17030] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Affiliation(s)
- Jia Yu
- National Energy Technology Laboratory Morgantown West Virginia USA
| | - Liqiang Lu
- National Energy Technology Laboratory Morgantown West Virginia USA
- Leidos Research Support Team Morgantown West Virginia USA
| | - Xi Gao
- National Energy Technology Laboratory Morgantown West Virginia USA
- Leidos Research Support Team Morgantown West Virginia USA
| | - Yupeng Xu
- National Energy Technology Laboratory Morgantown West Virginia USA
- Leidos Research Support Team Morgantown West Virginia USA
| | - Mehrdad Shahnam
- National Energy Technology Laboratory Morgantown West Virginia USA
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Yu Y, Li Y, Jiang M, Zhou Q. Meso-scale drag model designed for coarse-grid Eulerian-Lagrangian simulation of gas-solid flows. Chem Eng Sci 2020. [DOI: 10.1016/j.ces.2020.115747] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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49
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Clusters intermittent simulations using dynamic cluster structure-dependent drag model in gas-particles risers. Chem Eng Sci 2020. [DOI: 10.1016/j.ces.2020.115643] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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