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Home All issues Volume 72 / No 5 (September–October 2017) Oil & Gas Science and Technology - Rev. IFP Energies nouvelles, 72 5 (2017) 26 References
Dossier: Dynamics of Evolving Fluid Interfaces - DEFI Gathering Physico-Chemical and Flow Properties
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Issue
Oil & Gas Science and Technology - Rev. IFP Energies nouvelles
Volume 72, Number 5, September–October 2017
Dossier: Dynamics of Evolving Fluid Interfaces - DEFI Gathering Physico-Chemical and Flow Properties
Article Number 26
Number of page(s) 12
DOI https://doi.org/10.2516/ogst/2017017
Published online 08 September 2017
  • Munasinghe P.C., Khanal S.K. (2010) Syngas fermentation to biofuel: evaluation of carbon monoxide mass transfer coefficient (kLa) in different reactor configurations, Biotechnol. Prog. 26, 1616–1621. [CrossRef] [PubMed] [Google Scholar]
  • Huang Q.S., Zhang W.P., Yang C. (2015) Modeling transport phenomena and reactions in a pilot slurry airlift loop reactor for direct coal liquefaction, Chem. Eng. Sci. 135, 441–451. [CrossRef] [Google Scholar]
  • Heijnen J.J., Hols J., van der Lans R.G.J.M., van Leeuwen H.L.J.M., Mulder A., Weltevrede R. (1997) A simple hydrodynamic model for the liquid circulation velocity in a full-scale two- and three-phase internal airlift reactor operating in the gas recirculation regime, Chem. Eng. Sci. 52, 2527–2540. [CrossRef] [Google Scholar]
  • Li G.Q., Yang S.Z., Cai Z.L., Chen J.Y. (1995) Mass transfer and gas-liquid circulation in an airlift reactor with viscous non-Newtonian fluids, Chem. Eng. J. 56, B101–B107. [Google Scholar]
  • Hwang S.J., Cheng Y.L. (1997) Gas holdup and liquid velocity in three-phase internal-loop airlift reactors, Chem. Eng. Sci. 52, 3949–3960. [CrossRef] [Google Scholar]
  • Deng Z.H., Wang T.F., Zhang N., Wang Z.W. (2010) Gas holdup, bubble behavior and mass transfer in a 5 m high internal-loop airlift reactor with non-Newtonian fluid, Chem. Eng. J. 160, 729–737. [CrossRef] [Google Scholar]
  • Han M., González G., Vauhkonen M., Laari A., Koiranen T. (2017) Local gas distribution and mass transfer characteristics in an annulus-rising airlift reactor with non-Newtonian fluid, Chem. Eng. J. 308, 929–939. [CrossRef] [Google Scholar]
  • Gumery F., Ein-Mozaffari F., Dahman Y. (2011) Macromixing hydrodynamic study in draft-tube airlift reactors using electrical resistance tomography, Bioprocess Biosyst. Eng. 34, 135–144. [CrossRef] [EDP Sciences] [PubMed] [Google Scholar]
  • Chen P., Sanyal J., Dudukovic M.P. (2005) Numerical simulation of bubble columns flows: effect of different breakup and coalescence closures, Chem. Eng. Sci. 60, 1085–1101. [CrossRef] [Google Scholar]
  • Chen P., Sanyal J., Dudukovic M.P. (2004) CFD modeling of bubble columns flows: implementation of population balance, Chem. Eng. Sci. 59, 5201–5207. [CrossRef] [Google Scholar]
  • Wang T.F., Wang J.F., Jin Y. (2005) Population balance model for gas-liquid flows: influence of bubble coalescence and breakup models, Ind. Eng. Chem. Res. 44, 7540–7549. [CrossRef] [Google Scholar]
  • Wang T.F., Wang J.F. (2007) Numerical simulations of gas-liquid mass transfer in bubble columns with a CFD-PBM coupled model, Chem. Eng. J. 62, 7107–7118. [CrossRef] [Google Scholar]
  • Liu R., Sun W., Liu C.Z. (2011) Computational fluid dynamics modeling of mass transfer behavior in a bioreactor for hairy root culture. I. Model development and experimental validation, Biotechnol. Prog. 27, 1661–1671. [CrossRef] [PubMed] [Google Scholar]
  • Xing C.T., Wang T.F., Wang J.F. (2013) Experimental study and numerical simulation with a coupled CFD-PBM model of the effect of liquid viscosity in a bubble column, Chem. Eng. Sci. 95, 313–322. [CrossRef] [Google Scholar]
  • Wang T.F., Wang J.F., Jin Y. (2003) A novel theoretical breakup kernel function for bubbles/drops in a turbulent flow, Chem. Eng. Sci. 58, 4629–4637. [CrossRef] [Google Scholar]
  • Lennartsson P.R., Niklasson C., Taherzadeh M.J. (2011) A pilot study on lignocellulose to ethanol and fish feed using NMMO pretreatment and cultivation with zygomycetes in an air-lift reactor, Bioresour. Tech. 102, 4425–4432. [CrossRef] [Google Scholar]
  • Chavez-Parga M.C., Gonzalez-Ortega O., Negrete-Rodriguez M.L.X., Medina-Torres L., Escamilla-Silva E.M. (2007) Hydrodynamics, mass transfer and rheological studies of gibberellic acid production in an airlift bioreactor, World J. Microb. Biot. 23, 615–623. [CrossRef] [Google Scholar]
  • Chavez-Parga M.C., Gonzalez-Ortega O., Negrete-Rodríguez M.L.X., Vallarino I.G., González Alatorre G., Escamilla-Silva E.M. (2008) Kinetic of the gibberellic acid and bikaverin production in an airlift bioreactor, Process Biochem. 43, 855–860. [CrossRef] [Google Scholar]
  • Eloranta H., Honkanen M., Marjanen K. (2008) PORA-Object recognition and analysis software 1.0 users manual, version 1.0, ©Pixact Ltd., www.pixact.fi. [Google Scholar]
  • Lahey R.T., Lopez de Bertodano M., Jones O.C. (1993) Phase distribution in complex geometry conduits, Nuclear Eng. Des. 141, 177–201. [CrossRef] [Google Scholar]
  • Jakobsen H. (1993) On the modelling and simulation of bubble column reactors using a two-fluid model, PhD Thesis, Norweigian Institute of Technology, Norway, 110. [Google Scholar]
  • Tomiyama A., Kataoka I., Zun I., Sakaguchi T. (1998) Drag coefficients of single bubbles under normal and micro gravity conditions, JSME Int. J. 41, 472–479. [CrossRef] [Google Scholar]
  • Tomiyama A., Tarnai H., Zun I., Hosokama S. (2002) Transverse migration of single bubbles in simple shear flow, Chem. Eng. Sci. 57, 1849–1858. [CrossRef] [Google Scholar]
  • Tomiyama A. (1998) Struggle with computational bubble dynamics, Multiphase Sci. Tech. 10, 369–405. [CrossRef] [Google Scholar]
  • Antal S.P., Lahey R.T., Flaherty J.E. (1991) Analysis of phase distribution in fully developed laminar bubble two-phase flow, Int. J. Multiphase Flow 17, 635–652. [CrossRef] [Google Scholar]

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