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Li M, An X, Wu Y. Segregation behavior of particles with Gaussian distributions in the rotating drum with rolling regime. ADV POWDER TECHNOL 2023. [DOI: 10.1016/j.apt.2023.103953] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
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2
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Experimental and Numerical Studies of Fine Quartz Single-Particle Sedimentation Based on Particle Morphology. Processes (Basel) 2022. [DOI: 10.3390/pr10101981] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
Abstract
The sedimentation characteristics of quartz particles affect their separation and settling dehydration processes. Particle morphology determines the sedimentation equilibrium velocity. In this paper, the sedimentation of a single quartz particle is characterized by employing experimental and CFD-DEM approaches. SEM served to examine quartz particles measuring 30–500 μm, and they exhibited flaky–blocky morphologies with an average long–middle axis ratio of 1.6. Consistent with the SEM-detected morphological features of the quartz particles, suggested here is a simpler drag coefficient model, followed by verification of the model with experimental data. The results show that the velocity of a quartz particle in the non-settling direction had a fluctuation of ±0.2 mm/s. The fluctuation reached 0.4 mm/s at varying settlement release angles. The order in which the particles reached sedimentation equilibrium velocity during the settlement process was double-cone, single-cone, and square when the initial velocity was greater than sedimentation equilibrium velocity. Furthermore, the long–middle axis ratio of quartz particles diminished as their equilibrium sedimentation velocities rose. Given that the quartz particles ranged from 30 to 50 μm in size, the long–middle axis ratio wielded no discernible effect on the sedimentation equilibrium velocity.
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Raman R, Mollick PK, Goswami PS. Computational Fluid Dynamics–Discrete Element Method Studies on Dynamics and Segregation in Spouted Bed with Polydispersed Particles. Ind Eng Chem Res 2022. [DOI: 10.1021/acs.iecr.2c00712] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Ritesh Raman
- Department of Chemical Engineering, Indian Institute of Technology Bombay, Powai, Mumbai 400076, India
| | - Palash Kumar Mollick
- Glass & Advanced Materials Division, Bhabha Atomic Research Centre, Trombay, Mumbai 400085, India
| | - Partha S. Goswami
- Department of Chemical Engineering, Indian Institute of Technology Bombay, Powai, Mumbai 400076, India
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Xie Z, Gu X, Shen Y. A Machine Learning Study of Predicting Mixing and Segregation Behaviors in a Bidisperse Solid–Liquid Fluidized Bed. Ind Eng Chem Res 2022. [DOI: 10.1021/acs.iecr.2c00071] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Zhouzun Xie
- School of Chemical Engineering, University of New South Wales, Sydney, New South Wales 2052, Australia
| | - Xinyu Gu
- Institute for Superconducting and Electronic Materials, University of Wollongong, Wollongong, New South Wales 2500, Australia
| | - Yansong Shen
- School of Chemical Engineering, University of New South Wales, Sydney, New South Wales 2052, Australia
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5
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Thakur AK, Kumar R, Banerjee N, Chaudhari P, Gaurav GK. Hydrodynamic modeling of liquid-solid flow in polyolefin slurry reactors using CFD techniques – A critical analysis. POWDER TECHNOL 2022. [DOI: 10.1016/j.powtec.2022.117544] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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6
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Tiwari SS, Ghatage SV, Joshi JB, Kong B. Segregation and intermixing in polydisperse liquid–solid fluidized beds: A multifluid model validation study. AIChE J 2022. [DOI: 10.1002/aic.17725] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
- Shashank S. Tiwari
- Department of Chemical Engineering Guangdong Technion‐Israel Institute of Technology Shantou Guangdong China
- Department of Chemical Engineering Institute of Chemical Technology Matunga Mumbai India
| | | | - Jyeshtharaj B. Joshi
- Department of Chemical Engineering Institute of Chemical Technology Matunga Mumbai India
- Homi Bhabha National Institute Anushaktinagar Mumbai India
| | - Bo Kong
- Department of Chemical Engineering Guangdong Technion‐Israel Institute of Technology Shantou Guangdong China
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7
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Radial segregation of a gaussian-dispersed mixture of superquadric particles in a horizontal rotating drum. POWDER TECHNOL 2021. [DOI: 10.1016/j.powtec.2021.09.012] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
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8
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Xie Z, Wang S, Shen Y. CFD-DEM study of segregation and mixing characteristics under a bi-disperse solid-liquid fluidised bed. ADV POWDER TECHNOL 2021. [DOI: 10.1016/j.apt.2021.09.012] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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9
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Lv K, Min F, Zhu J, Ren B, Bai X, Wang C. Experiments and CFD-DEM simulations of fine kaolinite particle sedimentation dynamic characteristics in a water environment. POWDER TECHNOL 2021. [DOI: 10.1016/j.powtec.2020.12.057] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
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10
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Pore-Scale Simulations of Particles Migration and Deposition in Porous Media Using LBM-DEM Coupling Method. Processes (Basel) 2021. [DOI: 10.3390/pr9030465] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
This paper studies the migration and deposition of suspended particles in porous media. This problem results from the fact that during the operation of a groundwater source heat pump, the recharging process will contribute to the impairment of soil permeability. A coupling lattice Boltzmann method, discrete element method and immersed moving boundary method were used to investigate the migration of particles in porous media. The DKT (Drifting, Kissing, Tumbling) phenomena were employed to validate our program. The coupled effects of concentration, flow rate and pH on the clogging mechanism of the porous media were analyzed. Results show that, due to the repulsive barrier between the particles and porous media, there is a critical velocity. At a low flow rate, the deposition ratio increases with the increase in velocity. Beyond the critical velocity, the deposition ratio decreases when the velocity increases due to higher shear force. Permeability impairment increases with the increase in concentration, especially in the low flow rate condition. Changes in pH mainly affect the repulsive barrier. For a low flow rate, the decrease in repulsive barrier greatly promotes the deposition of particles. Under the condition of favorable deposition, the increase in flow rate reduces the deposition phenomenon. Under the condition of unfavorable deposition, the lower flow rate condition has a lower deposition ratio. The process of particle deposition and the dynamic motion after deposition were observed such as particles gliding over the surface. Accumulated particles in the downstream form bridges and hinder fluid flow. At a high flow rate, strong shear force is more capable of destroying bridges and recovering permeability. Adsorbed particles glide on the surface of the grain and deposit in the downstream. This paper aims to help understanding of the micro-events of particle deposition and the clogging process.
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Huang J, Dong K, Lv M, Li H, Liu Z. Comprehensive Study on the Mixing Behavior of Small Dissimilar Particles in a Fluidized Bed. Ind Eng Chem Res 2020. [DOI: 10.1021/acs.iecr.0c04603] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Jikai Huang
- Energy Research Institute, Qilu University of Technology (Shandong Academy of Sciences), Jinan, Shandong 250014, China
| | - Kaiming Dong
- Energy Research Institute, Qilu University of Technology (Shandong Academy of Sciences), Jinan, Shandong 250014, China
| | - Mingming Lv
- Energy Research Institute, Qilu University of Technology (Shandong Academy of Sciences), Jinan, Shandong 250014, China
| | - Huanan Li
- Energy Research Institute, Qilu University of Technology (Shandong Academy of Sciences), Jinan, Shandong 250014, China
| | - Zhigang Liu
- Energy Research Institute, Qilu University of Technology (Shandong Academy of Sciences), Jinan, Shandong 250014, China
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13
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Zheng E, Rudman M, Kuang S, Chryss A. Turbulent coarse-particle suspension flow: Measurement and modelling. POWDER TECHNOL 2020. [DOI: 10.1016/j.powtec.2020.06.080] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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14
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Effect of dispersion behavior on the heat transfer characteristics of alumina nanofluid: an experimental investigation and development of a new correlation function. INTERNATIONAL NANO LETTERS 2020. [DOI: 10.1007/s40089-020-00306-w] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
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15
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Dodds D, Sarhan A, Naser J. Experimental and numerical study of drag forces on particles in clusters. POWDER TECHNOL 2020. [DOI: 10.1016/j.powtec.2020.05.082] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
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Abstract
Teeter Bed Separators (TBS) are liquid–solid fluidized beds that are widely used in separation of coarse particles in coal mining industry. The coal particles settle in the self-generating medium bed resulting in separation according to density. Due to the existence of self-generating medium beds, it is difficult to study the sedimentation of particles in TBS through experiments and detection methods. In the present research, a model was built to investigate the bed expansion characteristics with water velocity based on the Euler–Euler approach, and to investigate the settling of foreign particles through bed based on the Euler–Lagrange approach in TBS. Results show that the separation of in TBS should be carried out at low water velocity under the condition of stable fluidized bed. Large particles have a high slip velocity, and they are easily flowing through the bed into the light product leading to a mismatch. The importance of self-generating bed on separation of particle with narrow size ranges are clarified. The model provides a way for investigating the separation of particles in a liquid–solid fluidized bed and provides suggestions for the selection of operation conditions in TBS application.
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Wei L, Lu Y. Numerical investigation of binary particle mixing in gas-solid fluidized bed with a bubble-based drag EMMS model. ADV POWDER TECHNOL 2020. [DOI: 10.1016/j.apt.2020.01.017] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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18
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Khan MS, Evans GM, Nguyen AV, Mitra S. Analysis of particle dispersion coefficient in solid-liquid fluidised beds. POWDER TECHNOL 2020. [DOI: 10.1016/j.powtec.2019.03.022] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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19
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Tiwari SS, Pal E, Bale S, Minocha N, Patwardhan AW, Nandakumar K, Joshi JB. Flow past a single stationary sphere, 2. Regime mapping and effect of external disturbances. POWDER TECHNOL 2020. [DOI: 10.1016/j.powtec.2019.04.032] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
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20
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Cúñez FD, Franklin EM. Mimicking layer inversion in solid-liquid fluidized beds in narrow tubes. POWDER TECHNOL 2020. [DOI: 10.1016/j.powtec.2019.09.089] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
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21
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Wei H, Ge Y, Li M, Li Y, Saxén H, He Z, Yu Y. DEM study of the porosity distribution of pellet sandpile formed by ternary size particles. POWDER TECHNOL 2020. [DOI: 10.1016/j.powtec.2019.11.017] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
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22
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Zhang K, Wang S, Tang Y, He Y. Prediction of segregation behavior of binary mixture in a pulsed fluidized bed. ADV POWDER TECHNOL 2019. [DOI: 10.1016/j.apt.2019.08.013] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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23
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Comprehensive analysis of fluid-particle and particle-particle interactions in a liquid-solid fluidized bed via CFD-DEM coupling and tomography. POWDER TECHNOL 2018. [DOI: 10.1016/j.powtec.2018.09.009] [Citation(s) in RCA: 27] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
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24
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Zbib H, Ebrahimi M, Ein-Mozaffari F, Lohi A. Hydrodynamic Behavior of a 3-D Liquid–Solid Fluidized Bed Operating in the Intermediate Flow Regime—Application of Stability Analysis, Coupled CFD-DEM, and Tomography. Ind Eng Chem Res 2018. [DOI: 10.1021/acs.iecr.8b03369] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Hussein Zbib
- Department of Chemical Engineering, Ryerson University, 350 Victoria Street, M5B 2K3, Toronto, Canada
| | - Mohammadreza Ebrahimi
- Department of Chemical Engineering, Ryerson University, 350 Victoria Street, M5B 2K3, Toronto, Canada
| | - Farhad Ein-Mozaffari
- Department of Chemical Engineering, Ryerson University, 350 Victoria Street, M5B 2K3, Toronto, Canada
| | - Ali Lohi
- Department of Chemical Engineering, Ryerson University, 350 Victoria Street, M5B 2K3, Toronto, Canada
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25
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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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26
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Koppejan V, Ferreira G, Lin D, Ottens M. Mathematical modelling of expanded bed adsorption - a perspective on in silico process design. JOURNAL OF CHEMICAL TECHNOLOGY AND BIOTECHNOLOGY (OXFORD, OXFORDSHIRE : 1986) 2018; 93:1815-1826. [PMID: 30008502 PMCID: PMC6032964 DOI: 10.1002/jctb.5595] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/22/2017] [Revised: 01/22/2018] [Accepted: 01/24/2018] [Indexed: 06/08/2023]
Abstract
Expanded bed adsorption (EBA) emerged in the early 1990s in an attempt to integrate the clarification, capture and initial product concentration/purification process. Several mathematical models have been put forward to describe its operation. However, none of the models developed specifically for EBA allows simultaneous prediction of bed hydrodynamics, mass transfer/adsorption and (unwanted) interactions and fouling. This currently limits the development and early optimization of EBA-based separation processes. In multiphase reactor engineering, the use of multiphase computational fluid dynamics has been shown to improve fundamental understanding of fluidized beds. To advance EBA technology, a combination of particle, equipment and process scale models should be used. By employing a cascade of multiscale simulations, the various challenges EBA currently faces can be addressed. This allows for optimal design and selection of equipment, materials and process conditions, and reduces risks and development times of downstream processes involving EBA. © 2018 The Authors. Journal of Chemical Technology & Biotechnology published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.
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Affiliation(s)
- Victor Koppejan
- Delft University of TechnologyDepartment of Biotechnology, Van der Maasweg 9, 2629 HZDelftThe Netherlands
| | - Guilherme Ferreira
- DSM Biotechnology CenterCenter of Integrated BioProcessing, Alexander Fleminglaan 12613AXDelftThe Netherlands
| | - Dong‐Qiang Lin
- College of Chemical and Biological EngineeringZhejiang UniversityHangzhouChina
| | - Marcel Ottens
- Delft University of TechnologyDepartment of Biotechnology, Van der Maasweg 9, 2629 HZDelftThe Netherlands
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27
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Computational investigation of particle flow characteristics in pressurised dense phase pneumatic conveying systems. POWDER TECHNOL 2018. [DOI: 10.1016/j.powtec.2018.01.078] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
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28
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Abbasfard H, Evans G, Khan MS, Moreno-Atanasio R. A new two-phase coupling model using a random fluid fluctuating velocity: Application to liquid fluidized beds. Chem Eng Sci 2018. [DOI: 10.1016/j.ces.2018.01.030] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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29
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Cahyadi A, Fane AG, Chew JW. Correlating the hydrodynamics of fluidized media with the extent of membrane fouling mitigation: Effect of bidisperse GAC mixtures. Sep Purif Technol 2018. [DOI: 10.1016/j.seppur.2017.10.019] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
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30
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Numerical simulation of flow behavior of particles in an inverse liquid–solid fluidized bed with a jet using CFD-DEM. J Taiwan Inst Chem Eng 2018. [DOI: 10.1016/j.jtice.2017.08.049] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
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31
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Khan MS, Evans GM, Peng Z, Doroodchi E, Moghtaderi B, Joshi JB, Mitra S. Expansion behaviour of a binary solid-liquid fluidised bed with different solid mass ratio. ADV POWDER TECHNOL 2017. [DOI: 10.1016/j.apt.2017.09.009] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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32
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Segregation and dispersion studies in binary solid-liquid fluidised beds: A theoretical and computational study. POWDER TECHNOL 2017. [DOI: 10.1016/j.powtec.2016.12.070] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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33
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Zhang Y, Zhao Y, Lu L, Ge W, Wang J, Duan C. Assessment of polydisperse drag models for the size segregation in a bubbling fluidized bed using discrete particle method. Chem Eng Sci 2017. [DOI: 10.1016/j.ces.2016.11.028] [Citation(s) in RCA: 41] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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34
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Farizhandi AAK, Zhao H, Lau R. Modeling the change in particle size distribution in a gas-solid fluidized bed due to particle attrition using a hybrid artificial neural network-genetic algorithm approach. Chem Eng Sci 2016. [DOI: 10.1016/j.ces.2016.08.015] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
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35
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Peng Z, Moghtaderi B, Doroodchi E. A simple model for predicting solid concentration distribution in binary-solid liquid fluidized beds. AIChE J 2016. [DOI: 10.1002/aic.15420] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Affiliation(s)
- Zhengbiao Peng
- Priority Research Centre for Frontier Energy Technologies & Utilisation, The University of Newcastle, Callaghan; NSW 2308 Australia
| | - Behdad Moghtaderi
- Priority Research Centre for Frontier Energy Technologies & Utilisation, The University of Newcastle, Callaghan; NSW 2308 Australia
| | - Elham Doroodchi
- Priority Research Centre for Frontier Energy Technologies & Utilisation, The University of Newcastle, Callaghan, NSW, Australia and Priority Research Centre for Advanced Particle Processing and Transport, The University of Newcastle; Callaghan NSW 2308 Australia
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