Coalescence and Break‐Up in Bubble Columns: Euler‐Lagrange Simulations Using a Stochastic Approach

Gruber, Michael; Radl, Stefan; Khinast, Johannes G.

doi:10.1002/cite.201300024

Cited by 15 publications

(8 citation statements)

References 47 publications

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“…They introduce a side force depending on the orientation of an ellipsoidal bubble whereby they solve the simplified Jeffery's equation. Bubble breakup and coalescence of the bubbles can be modeled stochastically , and can be also accounted for the gas‐liquid interface at the top of the column .…”

Section: Two‐phase Systemsmentioning

confidence: 99%

“…They introduce a side force depending on the orientation of an ellipsoidal bubble whereby they solve the simplified Jeffery's equation. Bubble breakup and coalescence of the bubbles can be modeled stochastically [108,[115][116][117] and can be also Hounslow et al [83] Lister et al [84] Ramkrishna [85] Chen et al [86] Sanyal et al [87] Frank et al [88] Bhole et al [89] Moment-based Methods…”

Section: Euler-lagrange Approachmentioning

confidence: 99%

See 1 more Smart Citation

Models for the Numerical Simulation of Bubble Columns: A Review

Mühlbauer

Hlawitschka

Bart

2019

Chemie Ingenieur Technik

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This work reviews the state‐of‐the‐art models for the simulation of bubble columns and focuses on methods coupled with computational fluid dynamics (CFD) where the potential and deficits of the models are evaluated. Particular attention is paid to different approaches in multiphase fluid dynamics including the population balance to determine bubble size distributions and the modeling of turbulence where the authors refer to numerous published examples. Additional models for reactive systems are presented as well as a special chapter regarding the extension of the models for the simulation of bubble columns with a present solid particle phase, i.e., slurry bubble columns.

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Section: Two‐phase Systemsmentioning

confidence: 99%

“…They introduce a side force depending on the orientation of an ellipsoidal bubble whereby they solve the simplified Jeffery's equation. Bubble breakup and coalescence of the bubbles can be modeled stochastically [108,[115][116][117] and can be also Hounslow et al [83] Lister et al [84] Ramkrishna [85] Chen et al [86] Sanyal et al [87] Frank et al [88] Bhole et al [89] Moment-based Methods…”

Section: Euler-lagrange Approachmentioning

confidence: 99%

Models for the Numerical Simulation of Bubble Columns: A Review

Mühlbauer

Hlawitschka

Bart

2019

Chemie Ingenieur Technik

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“…The bubble volume oscillation effects on the liquid phase could be described based on the Rayleigh-Plesset equation. Gruber et al (2013Gruber et al ( , 2015 stated that monodisperse bubbles are sufficient to correctly predict the flow features, while breakage and coalescence are required to predict the correct specific interfacial area. The effects of coalescence and breakage decreased compared to the shrinkage of bubbles due to fast reactions.…”

Section: Introductionmentioning

confidence: 99%

Bubble motion and reaction in different viscous liquids

Hlawitschka

Kováts

Dönmez

et al. 2020

Exp. Comput. Multiph. Flow

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Reactive bubble columns are omnipresent in the chemical industry. The layout of these columns is still limited by correlations and therefore improved simulation techniques are required to describe the complex hydrodynamics/reaction interaction. In this work, we focus on the numerical and experimental study of the viscosity influence on bubble motion and reaction using an Euler-Lagrange framework with an added oscillation and reaction model to bring the column layout base closer to a predictive level. For comparison and validation, experimental data in various water-glycerol solutions was obtained in a cylindrical bubble column at low gas hold-up, where the main parameters such as bubble size, motion, and velocities were detected. Glycerol leads thereby to a change in viscosity and surface tension. Further, the surface tension was modified by addition of a surfactant. The bubble oscillating motion in low to higher viscosity could be described using an Euler-Lagrange framework and enables a description of industrial bubble flows. In addition, the simulations were in good agreement concerning reactive mass transfer investigations at higher viscosity of the liquid which led to an overall lower mass transfer compared to the cases with lower viscosity.

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“…However, in some large‐scale systems, the requirement to track a large number of parcels can lead to very high computational demands. LPT models have been used to simulate many types of dispersed flows, including bubbly flows in columns, tanks and unconfined systems, three‐phase flow in columns, and bubbly pipe flow …”

Section: Introductionmentioning

confidence: 99%

Multiscale modelling of mass transfer in gas jets and bubble plumes

O'Malley

Haelssig

2019

Can J Chem Eng

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The injection of high‐speed gas streams into liquids is common in many industrial applications, such as sparging in multiphase reactors and contacting in mass transfer devices. Modelling the fluid dynamics and associated heat and mass transfer processes in such a system is complex because it involves many governing scales and drastic changes in physical properties. In this study, one formulation of a multiscale computational fluid dynamics model is proposed to simulate the fluid dynamics and mass transfer in such systems. The model uses volume‐of‐fluid interface capturing in regions where high mesh resolution can be attained and the drift‐flux or mixture model approximation in regions where mesh resolution is too low to directly resolve interface dynamics. The model was developed to provide a tunable, automatic transition between the two modelling approaches for both fluid dynamics and mass transfer predictions. The approach was validated through a comparison with results from two published studies. In the first case, the implementation of the drift‐flux model was validated through the simulation of a dispersed gas bubble plume injected into a cylindrical tank. In the second case, the fluid dynamics and mass transfer predictions were compared to results from an experimental study involving the horizontal injection of air into a rectangular tank filled with water for the application of aeration. The results show that the modelling approach can provide a good prediction of the experimental data using only limited fitting of empirical parameters, making it applicable to a broad range of other applications.

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Coalescence and Break‐Up in Bubble Columns: Euler‐Lagrange Simulations Using a Stochastic Approach

Cited by 15 publications

References 47 publications

Models for the Numerical Simulation of Bubble Columns: A Review

Models for the Numerical Simulation of Bubble Columns: A Review

Bubble motion and reaction in different viscous liquids

Multiscale modelling of mass transfer in gas jets and bubble plumes

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