Cyclohexane/water dispersion behaviour in a stirred batch vessel experimentally and with CFD simulation

Abu‐Farah, L.; Al‐Qaessi, F.; Schönbucher, Axel

doi:10.1016/j.procs.2010.04.070

Cited by 12 publications

(9 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Thus, it is necessary to use numerical simulation techniques to be able to eliminate scale-up and scale-down problems . Several attempts have done to predict the minimum agitation speed for complete dispersion through liquid-liquid mixing (Wang and Mao, 2005;Laurenzi et al, 2009;Abu-Farah et al, 2010). Recently, Cheng et al (2011) …”

Section: Liquid-liquid Mixing In Stirred Vessels 599mentioning

confidence: 99%

Liquid-Liquid Mixing in Stirred Vessels: A Review

Ghotli

Raman

Ibrahim

et al. 2013

Chemical Engineering Communications

View full text Add to dashboard Cite

Liquid-liquid mixing is a key process in industries that is commonly accomplished in mechanical agitation systems. Liquid-liquid mixing performance in a stirred tank can be evaluated by various parameters, namely minimum agitation speed, mixing time, circulation time, power consumption, drop size distribution, breakup and coalescence, interfacial area, and phase inversion. The importance of these liquid-liquid mixing parameters, the measurement method, and the results are discussed briefly. Input parameters such as impeller type, power number, flow pattern, number of impellers, and dispersed phase volume fraction, in addition to physical properties of phases such as viscosity and density, are reviewed. Scale-up aspects are also included.

show abstract

Section: Liquid-liquid Mixing In Stirred Vessels 599mentioning

confidence: 99%

Liquid-Liquid Mixing in Stirred Vessels: A Review

Ghotli

Raman

Ibrahim

et al. 2013

Chemical Engineering Communications

View full text Add to dashboard Cite

show abstract

“…Laurenzi et al [16] and Abu-Farah et al [17] used a uniform monodispersed droplet size throughout the tank. Laurenzi et al [16] discovered that the effect of the droplet size on the oil holdup distribution was significant.…”

Section: Effect Of Droplet Sizementioning

confidence: 99%

“…Laurenzi et al [16] captured the critical impeller speed for complete dispersion by visual observation of the simulated dispersed phase holdup contour in a vertical plane midway between two baffles, and such a state was considered as achieved when the oil layer had almost completely disappeared. The cyclohexane/water dispersion behavior in a nonbaffled round-bottom stirred vessel was studied experimentally and with CFD simulation, using an algebraic slip mixture (ASM) model, by Abu-Farah et al [17]. In their work, the critical impeller speed for complete and uniform dispersion was determined from the analysis of the axial and radial profiles of the cyclohexane volume fraction and from the visual judgment of the predicted density and cyclohexane volume fraction contours in a vertical plane.…”

Section: Introductionmentioning

confidence: 99%

“…The visual observation of the simulated dispersed phase holdup contours in a typical vertical plane is a qualitative way to obtain the critical impeller speed for complete dispersion, and Abu-Farah et al [17] reported its successful application. It is rather difficult for two persons to get the same results when assessing the degree of mixedness near the critical impeller speed.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

CFD Prediction of the Critical Agitation Speed for Complete Dispersion in Liquid‐Liquid Stirred Reactors

Cheng

Yong

et al. 2011

Chem Eng & Technol

View full text Add to dashboard Cite

A computational fluid dynamics (CFD) model is adopted to simulate the turbulent immiscible liquid-liquid flow in a stirred vessel based on a two-fluid model with a k-e-A P turbulence model. An improved inner-outer iterative procedure is adopted to deal with the impeller rotation in a fully baffled stirred tank. Different drag formulations are examined, and the effect of the droplet size on both the dispersed phase holdup distribution and the velocity field is analyzed. Two different numerical criteria are tested for determining the critical impeller speed for complete dispersion. The simulated critical impeller speeds are generally in good agreement with the correlations in the literature when the fixed droplet size is properly selected. This demonstrates that the modeling approach and the numerical criteria proposed in this work are promising for predicting the dispersion characteristics in liquid-liquid stirred tanks.

show abstract

“…Due to its flexibility, CFD has been widely applied for modeling and designing many kinds of reactors and processes. For liquid-liquid systems, CFD is used by applying multiphase Eulerian models and population balances to predict liquid-liquid mixing and mass transfer in a reactor [5,6]. A simple mixture model has been used as substitute for more complicated Eulerian model to design a submerged membrane stirred reactor [7].…”

Section: Introductionmentioning

confidence: 99%

Application of Computational Fluid Dynamics for Modeling of Hydrodynamics and Mass Transfer of Laboratory Scale Crude Palm Oil Degumming Process

2018

View full text Add to dashboard Cite

In this research, computational fluid dynamics was applied to model a laboratory reactor for the degumming of crude palm oil (CPO) involving immiscible liquid-liquid mixing and being controlled by mass transfer. The fluid mixing of CPO and phosphoric acid in the reactor was simulated using multiphase mixture model and standard κ-ε turbulence model in steady state mode. The simulation predicts the distributions of the drop diameter, the dispersed-phase relative velocity, the drop Reynolds number and the interfacial area density. The mass transfer coefficient from experimental work is correlated using the model as Sherwood number Shd = 0.02576 Red0.673Sc0.431 with R2 being 0.91. Finally, the volumetric mass transfer coefficient was calculated and compared to the experiment result.

show abstract

Cyclohexane/water dispersion behaviour in a stirred batch vessel experimentally and with CFD simulation

Cited by 12 publications

References 14 publications

Liquid-Liquid Mixing in Stirred Vessels: A Review

Liquid-Liquid Mixing in Stirred Vessels: A Review

CFD Prediction of the Critical Agitation Speed for Complete Dispersion in Liquid‐Liquid Stirred Reactors

Application of Computational Fluid Dynamics for Modeling of Hydrodynamics and Mass Transfer of Laboratory Scale Crude Palm Oil Degumming Process

Contact Info

Product

Resources

About