Validation of bubble breakage, coalescence and mass transfer models for gas–liquid dispersion in agitated vessel

Laakkonen, Marko; Alopaeus, Ville; Aittamaa, Juhani

doi:10.1016/j.ces.2004.11.066

Cited by 155 publications

(149 citation statements)

References 17 publications

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“…This indicates that only eddies of a similar size contribute to breakage significantly which is in accordance with literature. 8,26,45 However, this situation could change with higher / d , where the equilibrium between breakage and coalescence would be different.…”

Section: Modelling System With Variable Interfacial Tensionmentioning

confidence: 93%

“…Laakkonen et al 8 adjusted the value of C 4 against experimental data, while others 45,53,54 assigned the value of C 4 according to the mechanism of breakup. In this work, we used ternary breakage mechanism into comparable size fragments, however, the effect of C 4 on the final drop size was tested as well.…”

Section: Population Balance Modellingmentioning

confidence: 99%

“…At higher viscosities, the dispersed phase under elevated stress forms liquid threads which break into multiple fragments of unequal size. We used the DDF reported in Laakkonen et al 8 in the form of a beta distribution…”

Section: Population Balance Modellingmentioning

confidence: 99%

“…In the past, successful applications of this combined approach for gas-liquid dispersions have been presented by several researchers. [7][8][9][10][11][12][13][14][15][16][17][18] As concluded in these works, the modelling of the dispersed systems requires a careful choice of the coalescence and breakage rate expressions, also called kernels. A comprehensive comparison of available coalescence and breakage kernels for the gas-liquid and liquid-liquid systems can be found in the reviews of Liao and Lucas.…”

Section: Introductionmentioning

confidence: 98%

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Characterization of liquid‐liquid dispersions with variable viscosity by coupled computational fluid dynamics and population balances

Vonka

Šoóš

2015

AIChE Journal

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in Wiley Online Library (wileyonlinelibrary.com) Sustaining stable liquid-liquid dispersion with the desired drop size still relies on experimental correlations, which do not reflect our understanding of the underlying physics and have a limited prediction capability. The complex behavior of liquid-liquid dispersions inside a stirred tank, which is equipped with a Rushton turbine, was characterized by a combination of computational fluid dynamics and population balance equations (PBE). PBE took into account both the drop coalescence and breakup. With the increasing drop viscosity, the resistance to drop breakage also increases, which was introduced by the local criteria for drop breakup in the form of the local critical Webber number (We c ). The dependency of We c on the drop viscosity was derived from the experimental data available in the literature. Predictions of Sauter mean diameter agree well with the experimentally measured values allowing prediction of mean drop size as a function of variable viscosity, interfacial tension, and stirring speed.

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Section: Modelling System With Variable Interfacial Tensionmentioning

confidence: 93%

Section: Population Balance Modellingmentioning

confidence: 99%

Section: Population Balance Modellingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 98%

See 2 more Smart Citations

Characterization of liquid‐liquid dispersions with variable viscosity by coupled computational fluid dynamics and population balances

Vonka

Šoóš

2015

AIChE Journal

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“…In the field of drinking water disinfection, Cockx et al (1999), Talvy et al (2011), and Gong et al (2007) have modeled the ozonation process to predict ozone dissolving. Laakkonen et al (2006a;2006b) have investigated mass transfer in agitated fermenter vessels considering local population balance distribution. In separation process analysis for liquidliquid extraction in micro and macroscale (Buffo et al, 2016;Tsaoulidis and Panagiota, 2015;Xu et al, 2013;Chasanis et al, 2010;and Jildeh et al, 2012) or distillation process (Jiang et al, 2013;Sun et al, 2007;Rahimi et al, 2012;Wang et al, 2004;Rahimi et al, 2006;and Noriler et al, 2010), CFD is used to predict flow field, mass transfer, concentration profiles, and finally efficiencies.…”

Section: Introductionmentioning

confidence: 99%

CFD analysis of laboratory scale phase equilibrium cell operation

Jama

Nikiforow

Qureshi

et al. 2017

Review of Scientific Instruments

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For the modeling of multiphase chemical reactors or separation processes, it is essential to predict accurately chemical equilibrium data, such as vapor-liquid or liquid-liquid equilibria [M. Šoóš et al., Chem. Eng. Process.: Process Intensif. 42(4), 273–284 (2003)]. The instruments used in these experiments are typically designed based on previous experiences, and their operation verified based on known equilibria of standard components. However, mass transfer limitations with different chemical systems may be very different, potentially falsifying the measured equilibrium compositions. In this work, computational fluid dynamics is utilized to design and analyze laboratory scale experimental gas-liquid equilibrium cell for the first time to augment the traditional analysis based on plug flow assumption. Two-phase dilutor cell, used for measuring limiting activity coefficients at infinite dilution, is used as a test case for the analysis. The Lagrangian discrete model is used to track each bubble and to study the residence time distribution of the carrier gas bubbles in the dilutor cell. This analysis is necessary to assess whether the gas leaving the cell is in equilibrium with the liquid, as required in traditional analysis of such apparatus. Mass transfer for six different bio-oil compounds is calculated to determine the approach equilibrium concentration. Also, residence times assuming plug flow and ideal mixing are used as reference cases to evaluate the influence of mixing on the approach to equilibrium in the dilutor. Results show that the model can be used to predict the dilutor operating conditions for which each of the studied gas-liquid systems reaches equilibrium.

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Imaging Fluid Mixing

Wang

2015

Pharmaceutical Blending and Mixing

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Validation of bubble breakage, coalescence and mass transfer models for gas–liquid dispersion in agitated vessel

Cited by 155 publications

References 17 publications

Characterization of liquid‐liquid dispersions with variable viscosity by coupled computational fluid dynamics and population balances

Characterization of liquid‐liquid dispersions with variable viscosity by coupled computational fluid dynamics and population balances

CFD analysis of laboratory scale phase equilibrium cell operation

Imaging Fluid Mixing

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