Simulation of Coalescence, Breakup, and Mass Transfer in Polydisperse Multiphase Flows

Renze, Peter; Buffo, Antonio; Marchisio, Daniele; Vanni, Marco

doi:10.1002/cite.201400004

Cited by 22 publications

(17 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The bubble column in this work has been simulated using the Eulerian two‐fluid method coupled with a conditional quadrature method of moments (CQMOM) approach implemented in OpenFOAM . In previous work, Renze et al compared this approach to bubble column measurements available in literature . The relevant aspects of this modeling approach are briefly summarized here.…”

Section: Methodsmentioning

confidence: 99%

Prediction of gas density effects on bubbly flow hydrodynamics: New insights through an approach combining population balance models and computational fluid dynamics

et al. 2018

View full text Add to dashboard Cite

Detailed measurements and computational fluid dynamics (CFD) investigation of the hydrodynamics in a bubble column containing internal features causing flow disturbances are presented for both air and helium gases. An optical needle probe has been used to measure profiles of bubble size, bubble velocity, and gas holdup at different locations across the cross section of the column. An approach combining CFD with population balances is able to represent observed multiphase flow phenomena such as the effect of the pipes to remix and redistribute the gas as well as the tendency of the gas to channel through a slit in the pipes rather than go around the pipes. The comparison of CFD simulation to experimental measurements reveal that the overall decrease in gas holdup observed when switching from air to helium gas can be explained by swarm effects, whereas the steeper decrease in the gas holdup profile across the column is due to coalescence effects. © 2018 American Institute of Chemical Engineers AIChE J, 64: 3764–3774, 2018

show abstract

Section: Methodsmentioning

confidence: 99%

Prediction of gas density effects on bubbly flow hydrodynamics: New insights through an approach combining population balance models and computational fluid dynamics

et al. 2018

View full text Add to dashboard Cite

show abstract

“…However, care has to be taken when choosing the physical and numerical parameters because they may significantly affect the results [124]. Examples where LES was applied successfully for bubbly flows can be found in [131,132]. Magolan et al [133] compared a multitude of BIT models with experimental data from Liu [134].…”

Section: Turbulence Modelingmentioning

confidence: 99%

Models for the Numerical Simulation of Bubble Columns: A Review

Mühlbauer

Hlawitschka

Bart

2019

Chemie Ingenieur Technik

View full text Add to dashboard Cite

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.

show abstract

“…The combination of these activities might lead to a comprehensive understanding of the relation between coalescence behavior and respective model validity. It could furthermore offer the possibility to directly couple the drop size prediction in steady state, e.g., via population balance equations and/or computational fluid dynamics (CFD) [35][36][37], with the description of the decaying turbulence field and the phase separation model. A prediction of drop size distributions during the transition from turbulent to laminar flow conditions might be quite ambitious, but the aforementioned condition that either the sedimentation velocity or corresponding drop size during sedimentation needs to be determined experimentally could be avoided.…”

Section: Discussionmentioning

confidence: 99%

Dispersion and Phase Separation of Water‐Oil‐Amphiphile Systems in Stirred Tanks

2019

View full text Add to dashboard Cite

Drop size distributions and phase separation behavior of water-oil-nonionic amphiphile systems are investigated using an in situ endoscope measurement technique and an external camera in stirred tanks in batch mode. The fitting procedure and the simulation results of a phase separation model are analyzed under the condition that either the swarm sedimentation speed or the mean drop size during sedimentation is known. The steady-state drop size distributions are self-similar over the whole range of process parameters, but not in the decaying turbulence field after agitation stop. The coalescence rate in the first seconds after agitation stop clearly affects the separation behavior, so that a prediction of the separation time based on the initial conditions in steady state is not trivial.

show abstract

Simulation of Coalescence, Breakup, and Mass Transfer in Polydisperse Multiphase Flows

Cited by 22 publications

References 19 publications

Prediction of gas density effects on bubbly flow hydrodynamics: New insights through an approach combining population balance models and computational fluid dynamics

Prediction of gas density effects on bubbly flow hydrodynamics: New insights through an approach combining population balance models and computational fluid dynamics

Models for the Numerical Simulation of Bubble Columns: A Review

Dispersion and Phase Separation of Water‐Oil‐Amphiphile Systems in Stirred Tanks

Contact Info

Product

Resources

About