1
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El Geitani T, Blais B. Quadrature-Centered Averaging Scheme for Accurate and Continuous Void Fraction Calculation in Computational Fluid Dynamics–Discrete Element Method Simulations. Ind Eng Chem Res 2023. [DOI: 10.1021/acs.iecr.3c00172] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/17/2023]
Affiliation(s)
- Toni El Geitani
- Research Unit for Industrial Flows Processes (URPEI), Department of Chemical Engineering, École Polytechique de Montréal, P.O. Box 6079, Stn Centre-Ville, Montréal, QC H3C 3A7, Canada
| | - Bruno Blais
- Research Unit for Industrial Flows Processes (URPEI), Department of Chemical Engineering, École Polytechique de Montréal, P.O. Box 6079, Stn Centre-Ville, Montréal, QC H3C 3A7, Canada
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2
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Deep learning for drag force modelling in dilute, poly-dispersed particle-laden flows with irregular-shaped particles. Chem Eng Sci 2022. [DOI: 10.1016/j.ces.2022.118299] [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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3
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Ren A, Tang T, He Y. Evolution of mesoscale structure in fluidized beds with non-spherical dry and wet particles. ADV POWDER TECHNOL 2022. [DOI: 10.1016/j.apt.2022.103794] [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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4
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Effect of Metal Anti-wear Device on the water wall erosion in CFB Boiler. Chem Eng Res Des 2022. [DOI: 10.1016/j.cherd.2022.11.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
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5
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Zhang Y, Xu J, Chang Q, Zhao P, Wang J, Ge W. Numerical simulation of fluidization: Driven by challenges. POWDER TECHNOL 2022. [DOI: 10.1016/j.powtec.2022.118092] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
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6
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Reddy EVC, Varghese MM, Vakamalla TR. Effect of particle shape on the hydrodynamics of gas-solid fluidized bed. Chem Eng Res Des 2022. [DOI: 10.1016/j.cherd.2022.11.025] [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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7
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Ma H, Zhou L, Liu Z, Chen M, Xia X, Zhao Y. A review of recent development for the CFD-DEM investigations of non-spherical particles. POWDER TECHNOL 2022. [DOI: 10.1016/j.powtec.2022.117972] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/24/2023]
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8
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Research on a New Drag Force Model for Cylindrical Particles in Fixed Bed Reactors. Catalysts 2022. [DOI: 10.3390/catal12101120] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
Fixed bed reactors play an important role in converting solid wastes to high-quality products. The solid wastes, as well as the corresponding catalysts, are often made into cylindrical particles. However, research on the drag force for cylindrical particles is still rarely reported. In this work, the fixed bed porosity was firstly predicted with the unresolved CFD-DEM method and validated against experimental data. Then, the Ergun model, Di Felice model, and Ganser model were evaluated against the reported pressure drop data for both the spherical and cylindrical particles, so that a more solid drag force theory could be selected as a candidate for cylindrical particles. Finally, a new Ganser model was proposed for cylindrical particle drag force prediction based on the reported experimental results and validated by other experimental data. It was found that, for the spherical particle bed, the relative prediction errors of the Di Felice model are approximately 10%, while those of the Ergun model are approximately 15%. For the cylindrical particle bed, the relative prediction errors of the Ganser model are approximately 10%, while those of the Di Felice model are much higher than 10%. With the new Ganser model proposed in this work, the maximum error between the predicted pressure drop and the experimental data can be lowered to approximately 5%. The research is of reference value for drag force model selection when simulating similar FBRs with cylindrical particles.
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9
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Prakotmak P, Wangchai S. CFD-DEM simulation of fluidization of multi sphere-modeled corn particles. PARTICULATE SCIENCE AND TECHNOLOGY 2022. [DOI: 10.1080/02726351.2021.2001781] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Affiliation(s)
- Preeda Prakotmak
- Department of Mechanical Engineering, Faculty of Engineering at Kamphaeng Saen, Kasetsart University, Kamphaeng Saen campus, Nakhon Pathom, Thailand
| | - Sathaphon Wangchai
- Department of Materials Handling and Logistics Engineering, Faculty of Engineering, King Mongkut's University of Technology North Bangkok, Bangkok, Thailand
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10
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Wang S, Wu Q, He Y. Estimation of the Fluidization Behavior of Nonspherical Wet Particles with Liquid Transfer. Ind Eng Chem Res 2022. [DOI: 10.1021/acs.iecr.2c01392] [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)
- Shuai Wang
- School of Energy Science and Engineering, Harbin Institute of Technology, Harbin 150001, China
- Heilongjiang Key Laboratory of New Energy Storage Materials and Processes, School of Energy Science and Engineering, Harbin Institute of Technology, Harbin 150001, Heilongjiang, China
| | - Qiang Wu
- School of Energy Science and Engineering, Harbin Institute of Technology, Harbin 150001, China
- Heilongjiang Key Laboratory of New Energy Storage Materials and Processes, School of Energy Science and Engineering, Harbin Institute of Technology, Harbin 150001, Heilongjiang, China
| | - Yurong He
- School of Energy Science and Engineering, Harbin Institute of Technology, Harbin 150001, China
- Heilongjiang Key Laboratory of New Energy Storage Materials and Processes, School of Energy Science and Engineering, Harbin Institute of Technology, Harbin 150001, Heilongjiang, China
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11
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Zhang X, Tahmasebi P. Investigation of particle shape and ambient fluid on sandpiles using a coupled micro-geomechanical model. POWDER TECHNOL 2022. [DOI: 10.1016/j.powtec.2022.117711] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
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12
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Numerical prediction on minimum fluidization velocity of a supercritical water fluidized bed reactor: Effect of particle shape. POWDER TECHNOL 2022. [DOI: 10.1016/j.powtec.2022.117397] [Citation(s) in RCA: 4] [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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13
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Ashwin NR, Cao Z, Muralidhar N, Tafti D, Karpatne A. Deep learning methods for predicting fluid forces in dense particle suspensions. POWDER TECHNOL 2022. [DOI: 10.1016/j.powtec.2022.117303] [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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14
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A study of ellipsoidal and spherical particle flow, clogging and unclogging dynamics. POWDER TECHNOL 2021. [DOI: 10.1016/j.powtec.2021.07.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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15
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16
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Li C, Gan J, Pinson D, Yu A, Zhou Z. Dynamic analysis of poured packing process of ellipsoidal particles. POWDER TECHNOL 2021. [DOI: 10.1016/j.powtec.2021.03.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
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17
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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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18
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Fluid-particle drag force measurements from particle-resolved CFD simulations of flow past random arrays of ellipsoidal particles. Chem Eng Sci 2021. [DOI: 10.1016/j.ces.2021.116469] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
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19
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Romero-Valle MA, Goniva C, Nirschl H. Modeling of non-spherical particle flows: Movement and orientation behavior. POWDER TECHNOL 2021. [DOI: 10.1016/j.powtec.2020.11.083] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
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20
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Comparison of particle-resolved DNS (PR-DNS) and non-resolved DEM/CFD simulations of flow through homogenous ensembles of fixed spherical and non‐spherical particles. ADV POWDER TECHNOL 2021. [DOI: 10.1016/j.apt.2021.02.016] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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21
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Numerical investigation of drag property for fluid flow through random arrays of elliptical cylinders. POWDER TECHNOL 2021. [DOI: 10.1016/j.powtec.2020.11.003] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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22
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Farivar F, Zhang H, Tian ZF, Gupte A. CFD-DEM -DDM Model for Spray Coating Process in a Wurster Coater. J Pharm Sci 2020; 109:3678-3689. [PMID: 33007276 DOI: 10.1016/j.xphs.2020.09.032] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2020] [Revised: 07/30/2020] [Accepted: 09/21/2020] [Indexed: 10/23/2022]
Abstract
A multiscale model by coupling computational fluid dynamics (CFD) with a discrete element model (DEM) and discrete droplet model (DDM) is developed to simulate a lab-scale Wurster coater. Two case studies are conducted to study the effect of particle shape in the system. In the first case study, 45,000 spherical particles are coated for 5 s while for the second case study, a mixture of 22,500 spherical particles and 22,500 cylindrical particles is simulated. The residence time distributions (RTD) of particles in different spray zones are compared, and the best spray zone is derived by analysing the positions of spray droplet-particle contacts. The simulation results show that the RTD of the particles within an accurate spray zone can provide valuable information on the final product's particles size distribution. Furthermore, the coefficient of variation (COV) for the coating mass received by the particles is studied for both case studies.
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Affiliation(s)
- Foad Farivar
- School of Chemical Engineering, The University of Adelaide, Adelaide, SA 5005, Australia.
| | - Hu Zhang
- School of Chemical Engineering, The University of Adelaide, Adelaide, SA 5005, Australia; Amgen Bioprocessing Centre, Keck Graduate Institute, Claremont, CA 91711, USA
| | - Zhao F Tian
- School of Mechanical Engineering, The University of Adelaide, Adelaide, SA 5005, Australia
| | - Anshul Gupte
- Mayne Pharma, Salisbury South, Adelaide, SA 5106, Australia
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23
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Li X, Jiang M, Huang Z, Zhou Q. Effect of particle orientation on the drag force in random arrays of oblate ellipsoids in
low‐Reynolds
‐number flows. AIChE J 2020. [DOI: 10.1002/aic.17040] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Affiliation(s)
- Xinyang Li
- School of Chemical Engineering and Technology Xi'an Jiaotong University Xi'an China
| | - Ming Jiang
- School of Chemical Engineering and Technology Xi'an Jiaotong University Xi'an China
| | - Zheqing Huang
- School of Chemical Engineering and Technology 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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24
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Golshan S, Sotudeh-Gharebagh R, Zarghami R, Mostoufi N, Blais B, Kuipers J. Review and implementation of CFD-DEM applied to chemical process systems. Chem Eng Sci 2020. [DOI: 10.1016/j.ces.2020.115646] [Citation(s) in RCA: 47] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
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25
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Mola IA, Fawell PD, Small M. Particle-resolved direct numerical simulation of drag force on permeable, non-spherical aggregates. Chem Eng Sci 2020. [DOI: 10.1016/j.ces.2020.115582] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
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26
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27
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Kieckhefen P, Pietsch S, Dosta M, Heinrich S. Possibilities and Limits of Computational Fluid Dynamics-Discrete Element Method Simulations in Process Engineering: A Review of Recent Advancements and Future Trends. Annu Rev Chem Biomol Eng 2020; 11:397-422. [PMID: 32169000 DOI: 10.1146/annurev-chembioeng-110519-075414] [Citation(s) in RCA: 32] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Fluid-solid systems play a major role in a wide variety of industries, from pharmaceutical and consumer goods to chemical plants and energy generation. Along with this variety of fields comes a diversity in apparatuses and applications, most prominently fluidized and spouted beds, granulators and mixers, pneumatic conveying, drying, agglomeration, coating, and combustion. The most promising approach for modeling the flow in these systems is the CFD-DEM method, coupling computational fluid dynamics (CFD) for the fluid phase and the discrete element method (DEM) for the particles. This article reviews the progress in modeling particle-fluid flows with the CFD-DEM method. A brief overview of the basic method as well as methodical extensions of it are given. Recent applications of this simulation approach to separation and classification units, fluidized beds for both particle formation and energy conversion, comminution units, filtration, and bioreactors are reviewed. Future trends are identified and discussed regarding their viability.
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Affiliation(s)
- Paul Kieckhefen
- Institute of Solids Process Engineering and Particle Technology, Hamburg University of Technology, 21073 Hamburg, Germany;
| | - Swantje Pietsch
- Institute of Solids Process Engineering and Particle Technology, Hamburg University of Technology, 21073 Hamburg, Germany;
| | - Maksym Dosta
- Institute of Solids Process Engineering and Particle Technology, Hamburg University of Technology, 21073 Hamburg, Germany;
| | - Stefan Heinrich
- Institute of Solids Process Engineering and Particle Technology, Hamburg University of Technology, 21073 Hamburg, Germany;
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28
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Shrestha S, Kuang S, Yu A, Zhou Z. Orientation of spheroidal particles in single jet bubbling fluidized beds. POWDER TECHNOL 2020. [DOI: 10.1016/j.powtec.2019.07.095] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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29
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Effect of van der Waals force on bubble dynamics in bubbling fluidized beds of ellipsoidal particles. Chem Eng Sci 2020. [DOI: 10.1016/j.ces.2019.115343] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
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30
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Wei G, Zhang H, An X, Jiang S. Influence of particle shape on microstructure and heat transfer characteristics in blast furnace raceway with CFD-DEM approach. POWDER TECHNOL 2020. [DOI: 10.1016/j.powtec.2019.08.021] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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31
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Farivar F, Zhang H, Tian ZF, Gupte A. CFD-DEM simulation of fluidization of multisphere- modelled cylindrical particles. POWDER TECHNOL 2020. [DOI: 10.1016/j.powtec.2019.11.016] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
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32
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Flow and force analysis on the formation of expanded beds in gas fluidization of fine ellipsoids. POWDER TECHNOL 2019. [DOI: 10.1016/j.powtec.2019.08.060] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
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33
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Nan W, Wang Y, Sun H. Experimental investigation on the packed bed of rodlike particles. ADV POWDER TECHNOL 2019. [DOI: 10.1016/j.apt.2019.07.034] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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34
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Yan S, He Y, Tang T, Wang T. Drag coefficient prediction for non-spherical particles in dense gas–solid two-phase flow using artificial neural network. POWDER TECHNOL 2019. [DOI: 10.1016/j.powtec.2019.05.049] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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35
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Shrestha S, Kuang S, Yu A, Zhou Z. Bubble dynamics in bubbling fluidized beds of ellipsoidal particles. AIChE J 2019. [DOI: 10.1002/aic.16736] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Affiliation(s)
- Siddhartha Shrestha
- ARC Research Hub for Computational Particle Technology, Department of Chemical Engineering Monash University Victoria Australia
| | - Shibo Kuang
- ARC Research Hub for Computational Particle Technology, Department of Chemical Engineering Monash University Victoria Australia
| | - Aibing Yu
- ARC Research Hub for Computational Particle Technology, Department of Chemical Engineering Monash University Victoria Australia
| | - Zongyan Zhou
- ARC Research Hub for Computational Particle Technology, Department of Chemical Engineering Monash University Victoria Australia
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36
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Particle shape effect on bubble dynamics in central air jet pseudo-2D fluidized beds: A CFD-DEM study. Chem Eng Sci 2019. [DOI: 10.1016/j.ces.2019.02.030] [Citation(s) in RCA: 34] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
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37
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38
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Li X, Jiang M, Huang Z, Zhou Q. Effect of particle orientation on the drag force in random arrays of prolate ellipsoids in low‐Reynolds‐number flows. AIChE J 2019. [DOI: 10.1002/aic.16621] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
- Xinyang Li
- School of Chemical Engineering and TechnologyXi'an Jiaotong University Xi'an China
| | - Ming Jiang
- School of Chemical Engineering and TechnologyXi'an Jiaotong University Xi'an China
| | - Zheqing Huang
- School of Chemical Engineering and TechnologyXi'an Jiaotong University Xi'an China
| | - Qiang Zhou
- School of Chemical Engineering and TechnologyXi'an Jiaotong University Xi'an China
- State Key Laboratory of Multiphase Flow in Power EngineeringXi'an Jiaotong University Xi'an China
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39
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Fitzgerald BW, Zarghami A, Mahajan VV, Sanjeevi SK, Mema I, Verma V, El Hasadi YM, Padding JT. Multiscale simulation of elongated particles in fluidised beds. CHEMICAL ENGINEERING SCIENCE: X 2019. [DOI: 10.1016/j.cesx.2019.100019] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
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40
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Kravets B, Rosemann T, Reinecke S, Kruggel-Emden H. A new drag force and heat transfer correlation derived from direct numerical LBM-simulations of flown through particle packings. POWDER TECHNOL 2019. [DOI: 10.1016/j.powtec.2019.01.028] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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41
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Ma H, Zhao Y, Cheng Y. CFD-DEM modeling of rod-like particles in a fluidized bed with complex geometry. POWDER TECHNOL 2019. [DOI: 10.1016/j.powtec.2018.12.066] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
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42
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Particle scale modelling of mixing of ellipsoids and spheres in gas-fluidized beds by a modified drag correlation. POWDER TECHNOL 2019. [DOI: 10.1016/j.powtec.2018.11.054] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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43
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44
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Development of a drag force correlation for assemblies of cubic particles: The effect of solid volume fraction and Reynolds number. Chem Eng Sci 2018. [DOI: 10.1016/j.ces.2018.08.027] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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45
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Mahajan VV, Nijssen TM, Kuipers J, Padding JT. Non-spherical particles in a pseudo-2D fluidised bed: Modelling study. Chem Eng Sci 2018. [DOI: 10.1016/j.ces.2018.08.041] [Citation(s) in RCA: 36] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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46
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Investigating the fluidization of disk-like particles in a fluidized bed using CFD-DEM simulation. ADV POWDER TECHNOL 2018. [DOI: 10.1016/j.apt.2018.06.017] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
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47
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Abbaszadeh Molaei E, Yu A, Zhou Z. Particle scale modelling of solid flow characteristics in liquid fluidizations of ellipsoidal particles. POWDER TECHNOL 2018. [DOI: 10.1016/j.powtec.2018.07.063] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
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48
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Ma H, Zhao Y. CFD-DEM investigation of the fluidization of binary mixtures containing rod-like particles and spherical particles in a fluidized bed. POWDER TECHNOL 2018. [DOI: 10.1016/j.powtec.2018.06.034] [Citation(s) in RCA: 32] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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49
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50
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Clarke DA, Sederman AJ, Gladden LF, Holland DJ. Investigation of Void Fraction Schemes for Use with CFD-DEM Simulations of Fluidized Beds. Ind Eng Chem Res 2018. [DOI: 10.1021/acs.iecr.7b04638] [Citation(s) in RCA: 49] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Daniel A. Clarke
- Department
of Chemical and Process Engineering, University of Canterbury, Private Bag 4800, Christchurch 8140, New Zealand
| | - Andrew J. Sederman
- Department
of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge University
West Site, Philippa Fawcett Dr., Cambridge CB3 0AS, United Kingdom
| | - Lynn F. Gladden
- Department
of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge University
West Site, Philippa Fawcett Dr., Cambridge CB3 0AS, United Kingdom
| | - Daniel J. Holland
- Department
of Chemical and Process Engineering, University of Canterbury, Private Bag 4800, Christchurch 8140, New Zealand
| |
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