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Ngu V, Fletcher DF, Kavanagh JM, Rafrafi Y, Dumas C, Morchain J, Cockx A. H2 mass transfer – a key factor for efficient biological methanation: Comparison between pilot-scale experimental data, 1D and CFD models. Chem Eng Sci 2022. [DOI: 10.1016/j.ces.2022.118382] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
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2
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Ngu V, Morchain J, Cockx A. In-depth analysis of reactive bubbly flow using two-way coupled spatio-temporal 1D model. Chem Eng Sci 2022. [DOI: 10.1016/j.ces.2022.117963] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
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3
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Larsson T, Duran Quintero C, Gillot S, Cockx A, Fayolle Y. Development and validation of a comprehensive 1-D model to simulate gas hold-up and gas–liquid transfer in deep air–water bubble columns. Chem Eng Sci 2022. [DOI: 10.1016/j.ces.2021.117210] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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4
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Chaoyue L, Shiyu F, Lei X, Xiaotian P, Yan Y. Gas-liquid mass transfer characteristics of aviation fuel scrubbing in an aircraft fuel tank. Sci Rep 2021; 11:15426. [PMID: 34326386 PMCID: PMC8322315 DOI: 10.1038/s41598-021-94786-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2021] [Accepted: 07/14/2021] [Indexed: 11/22/2022] Open
Abstract
Dissolved oxygen evolving from aviation fuel leads to an increase in the oxygen concentration in an inert aircraft fuel tank ullage that may increase the flammability of the tank. Aviation fuel scrubbing with nitrogen-enriched air (NEA) can largely reduce the amount of dissolved oxygen and counteract the adverse effect of oxygen evolution. The gas–liquid mass transfer characteristics of aviation fuel scrubbing are investigated using the computational fluid dynamics method, which is verified experimentally. The effects of the NEA bubble diameter, NEA superficial velocity and fuel load on oxygen transfer between NEA and aviation fuel are discussed. Findings from this work indicate that the descent rate of the average dissolved oxygen concentration, gas holdup distribution and volumetric mass transfer coefficient increase with increasing NEA superficial velocity but decrease with increasing bubble diameter and fuel load. When the bubble diameter varies from 1 to 4 mm, the maximum change of descent rate of dissolved oxygen concentration is 18.46%, the gas holdup is 8.73%, the oxygen volumetric mass transfer coefficient is 81.45%. When the NEA superficial velocities varies from 0.04 to 0.10 m/s, the maximum change of descent rate of dissolved oxygen concentration is 146.77%, the gas holdup is 77.14%, the oxygen volumetric mass transfer coefficient is 175.38%. When the fuel load varies from 35 to 80%, the maximum change of descent rate of dissolved oxygen concentration is 21.15%, the gas holdup is 49.54%, the oxygen volumetric mass transfer coefficient is 44.57%. These results provide a better understanding of the gas and liquid mass transfer characteristics of aviation fuel scrubbing in aircraft fuel tanks and can promote the optimal design of fuel scrubbing inerting systems.
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Affiliation(s)
- Li Chaoyue
- School of Mechanical and Electrical Engineering, Jinling Institute of Technology, Nanjing, China.,Key Laboratory of Aircraft environment control and life support, MIIT, Nanjing University of Aeronautics and Astronautics, Nanjing, China
| | - Feng Shiyu
- Key Laboratory of Aircraft environment control and life support, MIIT, Nanjing University of Aeronautics and Astronautics, Nanjing, China.
| | - Xu Lei
- School of Mechanical and Electrical Engineering, Jinling Institute of Technology, Nanjing, China.,Key Laboratory of Aircraft environment control and life support, MIIT, Nanjing University of Aeronautics and Astronautics, Nanjing, China
| | - Peng Xiaotian
- Key Laboratory of Aircraft environment control and life support, MIIT, Nanjing University of Aeronautics and Astronautics, Nanjing, China
| | - Yan Yan
- College of Mechanical and Electrical Engineering, Xi'an Polytechnic University, Xi'an, China
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Mandalahalli MM, Wagner EC, Portela LM, Mudde RF. Electrolyte effects on recirculating dense bubbly flow: An experimental study using X‐ray imaging. AIChE J 2019. [DOI: 10.1002/aic.16696] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
- Manas M. Mandalahalli
- Transport Phenomena Group, Department of Chemical Engineering Delft University of Technology Delft The Netherlands
| | - Evert C. Wagner
- Transport Phenomena Group, Department of Chemical Engineering Delft University of Technology Delft The Netherlands
| | - Luis M. Portela
- Transport Phenomena Group, Department of Chemical Engineering Delft University of Technology Delft The Netherlands
| | - Robert F. Mudde
- Transport Phenomena Group, Department of Chemical Engineering Delft University of Technology Delft The Netherlands
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Weber B, von Campenhausen M, Maßmann T, Bednarz A, Jupke A. CFD based compartment-model for a multiphase loop-reactor. CHEMICAL ENGINEERING SCIENCE: X 2019. [DOI: 10.1016/j.cesx.2019.100010] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
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Liu CL, Zhao QW, Sun Z, Lu GM, Yu JG. Analysis of Magnesium Droplets Characteristics and Separation Performance in a Magnesium Electrolysis Cell Based on Multiphysical Modeling. ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING 2018. [DOI: 10.1007/s13369-018-3148-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
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9
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Ndiaye M, Gadoin E, Gentric C. CO 2 gas–liquid mass transfer and k L a estimation: Numerical investigation in the context of airlift photobioreactor scale-up. Chem Eng Res Des 2018. [DOI: 10.1016/j.cherd.2018.03.001] [Citation(s) in RCA: 14] [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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10
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Liew SY, Gimbun J. CFD Simulation on the Hydrodynamics in Gas-Liquid Airlift Reactor. CHEMICAL PRODUCT AND PROCESS MODELING 2017. [DOI: 10.1515/cppm-2017-0030] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
AbstractTwo-fluid model approach to simulate gas-liquid airlift reactors is widely implemented but have yet to reach a consensus on the closure model to account the gas-liquid interphase forces. Proper selection of a closure model is required in order to accurately capture the hydrodynamics in the complex of the two-phase system. Our work concerns the evaluation of the interfacial forces models (i. e. drag, lift and turbulent dispersion force) and their effects on local gas holdup and liquid velocity. A transient three-dimensional airlift reactor simulation was carried out using computational fluid dynamics by implementing the dispersed standardk-εturbulence model. Four drag models governed by spherical bubble, bubble deformation and Rayleigh-Taylor were being evaluated in our work. The significance on the inclusion of the lift model on predictive accuracy on the flow field was also studied as well. Whereas, two turbulent dispersion force models were selected to evaluate on their performance in improving the predictive accuracy of the local hydrodynamics. Results showed that the drag governed by Rayleigh-Taylor which accounts the bubble swarm effect had better predictions on the gas holdup in the downcomer and improved predictions in radial gas holdup. The inclusion of the lift model improved local gas holdup predictions at higher heights of the reactor and shifted the bubble plume towards the centre region of the riser. Meanwhile, the turbulent dispersion models improved the overall results of predicted local gas holdup with closer agreement obtained when the drift velocity model was considered in the simulation. The axial liquid velocity was well predicted for all cases. The consideration of the drag, lift and turbulent dispersion forces resulted in a closer agreement with experimental data.
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Rehman U, Audenaert W, Amerlinck Y, Maere T, Arnaldos M, Nopens I. How well-mixed is well mixed? Hydrodynamic-biokinetic model integration in an aerated tank of a full-scale water resource recovery facility. WATER SCIENCE AND TECHNOLOGY : A JOURNAL OF THE INTERNATIONAL ASSOCIATION ON WATER POLLUTION RESEARCH 2017; 76:1950-1965. [PMID: 29068327 DOI: 10.2166/wst.2017.330] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/07/2023]
Abstract
Current water resource recovery facility (WRRF) models only consider local concentration variations caused by inadequate mixing to a very limited extent, which often leads to a need for (rigorous) calibration. The main objective of this study is to visualize local impacts of mixing by developing an integrated hydrodynamic-biokinetic model for an aeration compartment of a full-scale WRRF. Such a model is able to predict local variations in concentrations and thus allows judging their importance at a process level. In order to achieve this, full-scale hydrodynamics have been simulated using computational fluid dynamics (CFD) through a detailed description of the gas and liquid phases and validated experimentally. In a second step, full ASM1 biokinetic model was integrated with the CFD model to account for the impact of mixing at the process level. The integrated model was subsequently used to evaluate effects of changing influent and aeration flows on process performance. Regions of poor mixing resulting in non-uniform substrate distributions were observed even in areas commonly assumed to be well-mixed. The concept of concentration distribution plots was introduced to quantify and clearly present spatial variations in local process concentrations. Moreover, the results of the CFD-biokinetic model were concisely compared with a conventional tanks-in-series (TIS) approach. It was found that TIS model needs calibration and a single parameter set does not suffice to describe the system under both dry and wet weather conditions. Finally, it was concluded that local mixing conditions have significant consequences in terms of optimal sensor location, control system design and process evaluation.
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Affiliation(s)
- Usman Rehman
- BIOMATH, Department of Mathematical Modelling, Statistics and Bio-Informatics, Ghent University, Coupure Links 653, Ghent 9000, Belgium E-mail:
| | - Wim Audenaert
- BIOMATH, Department of Mathematical Modelling, Statistics and Bio-Informatics, Ghent University, Coupure Links 653, Ghent 9000, Belgium E-mail:
| | - Youri Amerlinck
- BIOMATH, Department of Mathematical Modelling, Statistics and Bio-Informatics, Ghent University, Coupure Links 653, Ghent 9000, Belgium E-mail:
| | - Thomas Maere
- modelEAU, Département de génie civil et de génie des eaux, Université Laval, 1065 Avenue de la Médecine, Québec, QC, G1 V 0A6 Canada
| | - Marina Arnaldos
- BIOMATH, Department of Mathematical Modelling, Statistics and Bio-Informatics, Ghent University, Coupure Links 653, Ghent 9000, Belgium E-mail: ; Acciona Agua S.A., R&D Department, Av. De les Garrigues 22, El Prat del Llobregat, Barcelona 08820, Spain
| | - Ingmar Nopens
- BIOMATH, Department of Mathematical Modelling, Statistics and Bio-Informatics, Ghent University, Coupure Links 653, Ghent 9000, Belgium E-mail:
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Hernández-Calderón OM, González-Llanes MD, Rios-Iribe EY, Jiménez-Lam SA, Chavez-Parga MC, Escamilla-Silva EM. Hydrodynamics and Mass Transfer Simulation in Airlift Bioreactor with Settler using Computational Fluid Dynamics. INTERNATIONAL JOURNAL OF CHEMICAL REACTOR ENGINEERING 2017. [DOI: 10.1515/ijcre-2016-0173] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Abstract
In this work, the effect of inlet-gas superficial velocity over the circulation liquid velocity, gas holdup and mass transfer, from an airlift bioreactor with settler were studied by Computational Fluid Dynamics (CFD) modeling and contrasted with experimental results. Multiphase mixture model and κ-ε turbulence model were used to describe the two phases gas-liquid flow pattern in airlift bioreactor. The hydrodynamic parameters such as liquid circulation velocity and gas holdup were computed by solving the governing equations of continuity, moment and turbulence transport using the finite volume method. Global mass transfer coefficient was evaluated through the Higbie’s penetration theory and the two-phase fluid dynamic theory. Comparison between our numerical data and experimental data previously reported in the literature was done. Numerical and experimental data were very close, and the differences found were discussed in terms of the limitations of this study.
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Moreau M, Di Miceli Raimondi N, Le Sauze N, Gourdon C, Cabassud M. A new numerical method for axial dispersion characterization in microreactors. Chem Eng Sci 2017. [DOI: 10.1016/j.ces.2017.04.040] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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14
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Bednarz A, Weber B, Jupke A. Development of a CFD model for the simulation of a novel multiphase counter-current loop reactor. Chem Eng Sci 2017. [DOI: 10.1016/j.ces.2016.12.048] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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15
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Chen L, Bai Z. CFD simulation of the hydrodynamics in an industrial scale cyclohexane oxidation airlift loop reactor. Chem Eng Res Des 2017. [DOI: 10.1016/j.cherd.2017.01.008] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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16
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Pawar SB. CFD analysis of flow regimes in airlift reactor using Eulerian-Lagrangian approach. CAN J CHEM ENG 2016. [DOI: 10.1002/cjce.22696] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Affiliation(s)
- Sanjay B. Pawar
- Environmental Biotechnology Division; CSIR, National Environmental Engineering Research Institute (NEERI); Nagpur India
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17
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Pawar SB. Process Engineering Aspects of Vertical Column Photobioreactors for Mass Production of Microalgae. CHEMBIOENG REVIEWS 2016. [DOI: 10.1002/cben.201600003] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
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Wicklein E, Batstone DJ, Ducoste J, Laurent J, Griborio A, Wicks J, Saunders S, Samstag R, Potier O, Nopens I. Good modelling practice in applying computational fluid dynamics for WWTP modelling. WATER SCIENCE AND TECHNOLOGY : A JOURNAL OF THE INTERNATIONAL ASSOCIATION ON WATER POLLUTION RESEARCH 2016; 73:969-982. [PMID: 26942517 DOI: 10.2166/wst.2015.565] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/05/2023]
Abstract
Computational fluid dynamics (CFD) modelling in the wastewater treatment (WWT) field is continuing to grow and be used to solve increasingly complex problems. However, the future of CFD models and their value to the wastewater field are a function of their proper application and knowledge of their limits. As has been established for other types of wastewater modelling (i.e. biokinetic models), it is timely to define a good modelling practice (GMP) for wastewater CFD applications. An International Water Association (IWA) working group has been formed to investigate a variety of issues and challenges related to CFD modelling in water and WWT. This paper summarizes the recommendations for GMP of the IWA working group on CFD. The paper provides an overview of GMP and, though it is written for the wastewater application, is based on general CFD procedures. A forthcoming companion paper to provide specific details on modelling of individual wastewater components forms the next step of the working group.
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Affiliation(s)
- Edward Wicklein
- Carollo Engineers, 1218 Third Ave, Suite 1600, Seattle, WA, USA E-mail:
| | - Damien J Batstone
- Advanced Water Management Centre, University of Queensland, Level 4, Gehrmann Laboratories Building (60), Brisbane, QLD 4072, Australia
| | - Joel Ducoste
- Department of Civil, Construction, and Environmental Engineering, North Carolina State University, Campus Box 7908, Raleigh, NC 27695-7908, USA
| | - Julien Laurent
- ICube, Université de Strasbourg, CNRS (UMR 7357), ENGEES, 2 rue Boussingault, 67000 Strasbourg, France
| | - Alonso Griborio
- Hazen and Sawyer, 4000 Hollywood Boulevard, Suite 750N, Hollywood, FL 33021, USA
| | - Jim Wicks
- The Fluid Group, The Magdalen Centre, Robert Robinson Avenue, The Oxford Science Park, Oxford, OX4 4GA, UK
| | | | - Randal Samstag
- Civil and Sanitary Engineer, PO Box 10129, Bainbridge Island, WA 98110, USA
| | - Olivier Potier
- Laboratoire Réactions et Génie des Procédés, Université de Lorraine CNRS (UMR7274), 1 rue Grandville, 54001 Nancy, France
| | - Ingmar Nopens
- BIOMATH, Department of Mathematical Modelling, Statistics and Bioinformatics, Ghent University, Coupure Links 653, B-9000 Ghent, Belgium
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Konrath M, Brenner AK, Dillner E, Nirschl H. Centrifugal classification of ultrafine particles: Influence of suspension properties and operating parameters on classification sharpness. Sep Purif Technol 2015. [DOI: 10.1016/j.seppur.2015.06.015] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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21
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Huang Q, Zhang W, Yang C. Modeling transport phenomena and reactions in a pilot slurry airlift loop reactor for direct coal liquefaction. Chem Eng Sci 2015. [DOI: 10.1016/j.ces.2015.01.003] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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22
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Colombet D, Cockx A, Guiraud P, Legendre D. Experiments and modelling of a draft tube airlift reactor operated at high gas throughputs. Chem Eng Sci 2013. [DOI: 10.1016/j.ces.2013.08.044] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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23
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Morchain J, Gabelle JC, Cockx A. A coupled population balance model and CFD approach for the simulation of mixing issues in lab-scale and industrial bioreactors. AIChE J 2013. [DOI: 10.1002/aic.14238] [Citation(s) in RCA: 70] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Affiliation(s)
- Jérôme Morchain
- Université de Toulouse; INSA, UPS, INP; LISBP; 135 Avenue de Rangueil F-31077 Toulouse France
- INRA; UMR792 Ingénierie des Systèmes Biologiques et des Procédés; F-31400 Toulouse France
- CNRS; UMR5504; F-31400 Toulouse France
| | - Jean-Christophe Gabelle
- Université de Toulouse; INSA, UPS, INP; LISBP; 135 Avenue de Rangueil F-31077 Toulouse France
- INRA; UMR792 Ingénierie des Systèmes Biologiques et des Procédés; F-31400 Toulouse France
- CNRS; UMR5504; F-31400 Toulouse France
| | - Arnaud Cockx
- Université de Toulouse; INSA, UPS, INP; LISBP; 135 Avenue de Rangueil F-31077 Toulouse France
- INRA; UMR792 Ingénierie des Systèmes Biologiques et des Procédés; F-31400 Toulouse France
- CNRS; UMR5504; F-31400 Toulouse France
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Gao X, Wang LJ, Wu C, Cheng YW, Li X. Novel Bubble–Emulsion Hydrodynamic Model for Gas–Solid Bubbling Fluidized Beds. Ind Eng Chem Res 2013. [DOI: 10.1021/ie4002298] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Xi Gao
- Department of Chemical and Biological Engineering, Zhejiang University, Hangzhou 310027, China
| | - Li-Jun Wang
- Department of Chemical and Biological Engineering, Zhejiang University, Hangzhou 310027, China
| | - Cheng Wu
- Department of Chemical and Biological Engineering, Zhejiang University, Hangzhou 310027, China
| | - You-Wei Cheng
- Department of Chemical and Biological Engineering, Zhejiang University, Hangzhou 310027, China
| | - Xi Li
- Department of Chemical and Biological Engineering, Zhejiang University, Hangzhou 310027, China
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25
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Axial gas and solids mixing in a down flow circulating fluidized bed reactor based on CFD simulation. Chem Eng Sci 2012. [DOI: 10.1016/j.ces.2012.01.020] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
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26
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Mohajerani M, Mehrvar M, Ein-Mozaffari F. CFD analysis of two-phase turbulent flow in internal airlift reactors. CAN J CHEM ENG 2011. [DOI: 10.1002/cjce.20674] [Citation(s) in RCA: 24] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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27
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Talvy S, Debaste F, Martinelli L, Chauveheid E, Haut B. Development of a tool, using CFD, for the assessment of the disinfection process by ozonation in industrial scale drinking water treatment plants. Chem Eng Sci 2011. [DOI: 10.1016/j.ces.2011.02.039] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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28
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Single-phase flow model development for macroscopic liquid flow evaluation in gas–liquid reactors, by computational fluid dynamics. Chem Eng Sci 2011. [DOI: 10.1016/j.ces.2011.01.031] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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29
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CFD simulation and experimental measurement of gas holdup and liquid interstitial velocity in internal loop airlift reactor. Chem Eng Sci 2011. [DOI: 10.1016/j.ces.2011.01.059] [Citation(s) in RCA: 58] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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30
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Ali RM, Jamel C, Ghazi B, Line A. Gas dispersion in air-lift reactors: Contribution of the turbulent part of the added mass force. AIChE J 2011. [DOI: 10.1002/aic.12539] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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31
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CFD simulation of hydrodynamics and mass transfer in an internal airlift loop reactor using a steady two-fluid model. Chem Eng Sci 2010. [DOI: 10.1016/j.ces.2010.07.021] [Citation(s) in RCA: 91] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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32
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Nedeltchev S, Jordan U, Schumpe A. Semi-theoretical prediction of volumetric mass transfer coefficients in bubble columns with organic liquids at ambient and elevated temperatures. CAN J CHEM ENG 2010. [DOI: 10.1002/cjce.20309] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
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33
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Huang Q, Yang C, Yu G, Mao ZS. Sensitivity Study on Modeling an Internal Airlift Loop Reactor Using a Steady 2D Two-Fluid Model. Chem Eng Technol 2008. [DOI: 10.1002/ceat.200700278] [Citation(s) in RCA: 25] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
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34
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Le Moullec Y, Potier O, Gentric C, Pierre Leclerc J. Flow field and residence time distribution simulation of a cross-flow gas–liquid wastewater treatment reactor using CFD. Chem Eng Sci 2008. [DOI: 10.1016/j.ces.2008.01.029] [Citation(s) in RCA: 85] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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35
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Fayolle Y, Cockx A, Gillot S, Roustan M, Héduit A. Oxygen transfer prediction in aeration tanks using CFD. Chem Eng Sci 2007. [DOI: 10.1016/j.ces.2007.08.082] [Citation(s) in RCA: 72] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
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