Simulation of oscillatory baffled column: CFD and population balance

Ekambara, K.; Dhotre, M.T.

doi:10.1016/j.ces.2007.08.048

Cited by 15 publications

(22 citation statements)

References 18 publications

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“…However, there are studies that have been able to successfully model different transient turbulent flows using the RANS method such as CFD modeling of a gas-liquid STR using k − ε, which is of RANS methods [41], and modeling of a liquid-liquid moving baffle OBR using k − ε [26]. Ekambara and Dhotre in 2007 also reported very good agreement between experimental and numerical data when they employed a k − ε turbulence model to simulate a gas-liquid flow inside a stationary baffle OBR [42]. In addition, RANS turbulence models are the only options when the population balance model is applied in ANSYS Fluent.…”

Section: Cfd Model Development and Validationmentioning

confidence: 98%

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The Hydrodynamics and Mixing Performance in a Moving Baffle Oscillatory Baffled Reactor through Computational Fluid Dynamics (CFD)

Mortazavi

Pakzad

2020

Processes

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Oscillatory baffled reactors (OBRs) have attracted much attention from researchers and industries alike due to their proven advantages in mixing, scale-up, and cost-effectiveness over conventional stirred tank reactors (STRs). This study quantitatively investigated how different mixing indices describe the mixing performance of a moving baffle OBR using computational fluid dynamics (CFD). In addition, the hydrodynamic behavior of the reactor was studied, considering parameters such as the Q-criterion, shear strain rate, and velocity vector. A modification of the Q-criterion showed advantages over the original Q-criterion in determination of the vortices’ locations. The dynamic mesh tool was utilized to simulate the moving baffles through ANSYS/Fluent. The mixing indices studied were the velocity ratio, turbulent length scale, turbulent time scale, mixing time, and axial dispersion coefficient. We found that the oscillation amplitude had the most significant impact on these indices. In contrast, the oscillatory Reynolds number did not necessarily describe the mixing intensity of a system. Of the tested indices, the axial dispersion coefficient showed advantages over the other indices for quantifying the mixing performance of a moving baffle OBR.

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Section: Cfd Model Development and Validationmentioning

confidence: 98%

“…To take droplet size distribution into account, a population balance model was used since it can account for aggregation and breakage in dispersed multiphase flows [42]. A general form of the population balance equation is [44]:…”

Section: Cfd Model Development and Validationmentioning

confidence: 99%

The Hydrodynamics and Mixing Performance in a Moving Baffle Oscillatory Baffled Reactor through Computational Fluid Dynamics (CFD)

Mortazavi

Pakzad

2020

Processes

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“…Table 3 summarizes the results of the mesh independency analysis; mesh #2 was chosen for this study on the balance of accuracy and efficiency, and its density is above the norm reported in literature. 39,41,43,[45][46][47][48] All meshes were O-grid structured containing only hexahedral elements and were created on ANSYS ICEM.…”

Section: Mesh Sensitivity Testmentioning

confidence: 99%

On the evaluation of power density models for oscillatory baffled reactors using CFD

Jimeno

Lee

2018

Chemical Engineering and Processing - Process Intensification

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This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. Highlights CFD validation of the two existing models for the estimation of power density in oscillatory baffled devices is for the first time investigated.  Based on our CFD validation, the best fit would require the revision of the "quasi-steady" model with a power law dependency on the number-of-baffles term and an appropriate orifice discharge coefficient.  Likewise, the "eddy enhancement" model has been revised and updated with the same power law dependency and an empirical model to appropriately estimate "mixing length", as we have demonstrated that the "mixing length" is not a constant for a given device.  Both models are validated for a much wider application range than originally stated and for both batch and continuous operations.  Both revised models can be used interchangeably with high confidence.

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“…The used correlation for the lift force by Tomiyama et al [27] ended at an Eo c number around 10. The Tomiyama lift coefficient correlation was used by many authors in the recent years and gives very good results [16,48,52,66]. But for larger bubbles recent numerical investigations, e.g.…”

Section: Discussionmentioning

confidence: 99%

Numerical Simulation of Polydispersed Flow in Bubble Columns with the Inhomogeneous Multi‐Size‐Group Model

Ziegenhein

Rzehak

Krepper

et al. 2013

Chemie Ingenieur Technik

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The present paper shows the influence of considering polydispersity of bubbly flow, simulating bubble columns with a three-dimensional Eulerian two-fluid model. A complete set of interfacial closure models regarding drag force, lift force, wall force, turbulent dispersion force and bubble-induced turbulence is considered. A round bubble column of 0.288 m diameter and 2.5 m height is simulated up to a superficial gas velocity of 1 cm s -1 and compared with experimental data. It is shown that considering the polydispersity including the non-drag forces, important flow properties of bubble columns are reproduced. Possible influences of swarm effects on the non-drag forces are discussed and needs for further investigations are given. Bubble column hydrodynamics 1081 Bubble ForcesConcerning momentum exchange between liquid and gas phase it is referred to previous experience on CFD simulation of adiabatic air-water flow in round pipes [15,49,50], which is similar to models used for simulation of bubble www.cit-journal.com

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Simulation of oscillatory baffled column: CFD and population balance

Cited by 15 publications

References 18 publications

The Hydrodynamics and Mixing Performance in a Moving Baffle Oscillatory Baffled Reactor through Computational Fluid Dynamics (CFD)

The Hydrodynamics and Mixing Performance in a Moving Baffle Oscillatory Baffled Reactor through Computational Fluid Dynamics (CFD)

On the evaluation of power density models for oscillatory baffled reactors using CFD

Numerical Simulation of Polydispersed Flow in Bubble Columns with the Inhomogeneous Multi‐Size‐Group Model

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