Modeling the breakup of fluid particles in turbulent flows

Andersson, Ronnie; Andersson, Bengt

doi:10.1002/aic.10832

Cited by 110 publications

(97 citation statements)

References 18 publications

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“…Both eddy minimum and maximum sizes, which must be taken into account, are often discussed in the literature. 7,24,51 As shown by Andersson and Andersson, 26 boundaries of integral in Eq. 25, has strong impact on the breakup process.…”

Section: Population Balance Modellingmentioning

confidence: 87%

“…Values of k max from the drop size up to 10 times, the drop size were used for the modelling the drop breakup. 7,45,51 An exception is a recent work of Becker et al 27 who suggested that k max should be in the order of 100 times of the drop. In our work, k max was set to be equal to the drop diameter while it was assumed that larger eddies will transport the drop.…”

Section: Population Balance Modellingmentioning

confidence: 91%

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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: Population Balance Modellingmentioning

confidence: 87%

Section: Population Balance Modellingmentioning

confidence: 91%

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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“…Much effort has been done on this issue in the past century and numbers of works could be found in literature. [18][19][20][21][22][23][24][25][26][27][28] We will focus on the droplet breakage in this work.…”

Section: Introductionmentioning

confidence: 99%

Direct measurement of droplet breakage in a pulsed disc and doughnut column

et al. 2017

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The lack of experimental data for the droplet breakup has been one of the limitations for the application of population balance model (PBM). In this work, a high‐speed camera was used to directly measure the droplet breakup frequency and daughter size distribution in a pulsed disc and doughnut column. It was found from the captured video that multiple breakup events were more frequently observed than binary breakup. The multiple breakup was treated as an original breakup and several intermediate breakups to characterize the process quantitatively. The effects of pulsation intensity, dispersed phase flow rates, and the spatial locations were investigated in detail. Empirical correlations were finally established for both the breakup frequency function and the daughter droplet size distribution function and fitted well with the experimental data. The correlation equations were then used in a simplified PBM to calculate the droplet number density, which further proved the feasibility of the correlations. © 2017 American Institute of Chemical Engineers AIChE J, 63: 4188–4200, 2017

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“…In a recent article the authors proposed a new model for the overall breakup rate for bubbles and drops. 18 In this article it is described how the breakup mechanism and bandwidth can be modeled more accurately.…”

Section: Internal Flow Redistributionmentioning

confidence: 99%