Hydrodynamics in a RDC Extractor: Single and Two-Phase PIV Measurements and CFD Simulations

Drumm, Christian; Bart, Hans‐Jörg

doi:10.1002/ceat.200600212

Cited by 43 publications

(67 citation statements)

References 7 publications

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“…The liquid-liquid flow is modeled using a Reynolds averaged turbulence model in conjunction with the Eulerian two-fluid equations. In previous work, the simulated flow fields of the two-fluid model with constant d 32 were compared to particle image velocimetry (PIV) measurements, taken on the same pilot scale column, and agreed well with each other (Drumm and Bart, 2006). The turbulence has been modelled by the realizable kmodel, which delivers the best results for the present two-phase flow (Drumm and Bart, 2006).…”

Section: Introductionmentioning

confidence: 75%

“…(e.g. Drumm and Bart, 2006;Wang and Mao, 2005). If the particle size distribution is very wide or multimodal this approach is more likely to fail.…”

Section: Introductionmentioning

confidence: 96%

“…The majority of these groups considered only single-phase flow in the column (Modes and Bart, 2001;Fei et al, 2000). Twophase flow fields were simulated and investigated by Rieger et al (1996), You and Xiao (2005), Vikhansky and Kraft (2004) and Drumm and Bart (2006). Only the latter showed a complete comparison of the simulated flow field to experiments.…”

Section: Introductionmentioning

confidence: 99%

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Coupling of CFD with DPBM for an RDC extractor

Drumm

Attarakih

Bart

2009

Chemical Engineering Science

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Section: Introductionmentioning

confidence: 75%

“…(e.g. Drumm and Bart, 2006;Wang and Mao, 2005). If the particle size distribution is very wide or multimodal this approach is more likely to fail.…”

Section: Introductionmentioning

confidence: 96%

Section: Introductionmentioning

confidence: 99%

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Coupling of CFD with DPBM for an RDC extractor

Drumm

Attarakih

Bart

2009

Chemical Engineering Science

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“…The Euler-Lagrange method sets one phase as continuous and homogeneous, and the second phase as disperse [14]. The homogeneous phase is treated as a continuum based on the Euler approach by solving the energy, mass, and momentum balances.…”

Section: The Euler-lagrange Methodsmentioning

confidence: 99%

Simulation and Experimental Validation of Two‐Phase Flow in an Aerosol Counter‐Flow Reactor using Computational Fluid Dynamics

Iglauer

Warnecke

2009

Chem Eng & Technol

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A simulation of the hydrodynamic behavior of an aerosol-counter flow reactor was conducted using an Euler-Lagrange method. The simulation results were then verified with experiments. The process simulated was a separation process required during the production of biodiesel (fatty acid methyl ester). In this process, the liquid ester/glycerol phases are continuously injected through a hollow cone nozzle with an overpressure of 10 6 Pa into the reactor, operated at 15000 Pa. The liquid is atomized because of the pressure drop and a liquid particle spray is generated with an inlet velocity of 44.72 m/s. Water vapor of temperature 333 K is injected tangentially through two side, gas inlets with an inlet velocity of 1.2 m/s. Excess methanol is subjected to a mass transfer from the liquid phase into the gas phase, which is withdrawn through the head of the reactor and condensed in an external condenser unit. The stripping of the methanol off the liquid leads to a sharp interface between the glycerol and the ester phase, which can then be easily separated by gravity or pumping. The gas velocity field, pressure field and the liquid particle trajectories were calculated successfully. A good consistency between simulated and measured Bodenstein numbers was achieved, but 25 % of the simulated particles exited at the reactor's head, contrary to experimental observations. The difference between simulated and measured dwell times was within one order of magnitude.

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“…For the simulation of extraction columns, depending on the operating conditions of the process, the flow field can be simulated using a combination of the Eulerian-Eulerian approach, Eulerian-Lagrangian approach, population balance method, and k-e, k-x, and Reynolds stress models [3].…”

Section: Introductionmentioning

confidence: 99%

Three‐Dimensional Simulation of Hydrodynamics in a Rotating Disc Contactor using Computational Fluid Dynamics

et al. 2008

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The 3D simulation of the hydrodynamic behavior of a rotating disc contactor (RDC) by means of computational fluid dynamics (CFD) was investigated for the n-butanol-succinic acid-water (BSW) system. For the two-phase liquid-liquid flow, the velocity distribution of the continuous phase and drop size distributions were determined using the k-x turbulence model in conjunction with the Eulerian-Eulerian approach and MUSIG model. In this system in which the holdup of the dispersed phase is low, the continuous phase velocity was computed by simultaneously solving the Navier-Stokes equations beside the different models of turbulence. The motions of the dispersed phase was calculated while considering buoyancy, drag and inertia forces, and equations related to the continuous and dispersed phases were coupled to each other by considering the momentum transfer on the interface and the effect of drop motions in turbulence. In this simulation, by considering drops' breakage, their path, the velocity profile, and also the velocity contour plot of the dispersed phase were obtained. A comparison of the holdup experimental values with the results predicted by CFD showed that the k-x model is the best descriptive model for the computation of holdup in a RDC. IntroductionLiquid-liquid extraction is an important separation process that is widely used in the chemical, biochemical, petrochemical, pharmaceutical, and food industries [1][2][3][4]. The rotating disc contactor (RDC) is one of the most important extraction columns, which was initially introduced by the Royal Dutch/ Shell Group [5]. RDC columns have extensively been used in the industry, particularly for liquid-liquid systems with low interfacial tension. The low interfacial tension means small drop sizes, thereby causing the efficiency of the RDC extractor to ameliorate.These columns consist of a set of distinct discs with equal horizontal intervals between the stators. The agitation provided by the discs mounted on the rotor shaft improves the performance of the RDC by breaking the dispersed phase droplets, hence increasing the interfacial area for mass transfer [4,6]. Drop sizes are controlled by the ratio of buoyancy to interfacial tension forces under the conditions of no agitation or low levels of turbulence (Re R N R D 2 R m c < 10000) 1) [7].Too high an agitation speed will exacerbate the axial mixing, thereby reducing the column performance. Axial mixing ends in concentration jumps all over the column so that this phenomenon causes operating lines to be closer to each other, the result of which is the decrease of concentration driving force and the need for more discs inside the column [2,8,9].Experimental investigations with agitated columns reveal that the drop size distributions of rising organic phase drops dispersed in a continuous aqueous phase are broad in the first stages, becoming narrower and shifting toward smaller drop sizes in the later stages of the column, until a final, steady-state distribution has been achieved; thus, providing evidence that dro...

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Hydrodynamics in a RDC Extractor: Single and Two-Phase PIV Measurements and CFD Simulations

Cited by 43 publications

References 7 publications

Coupling of CFD with DPBM for an RDC extractor

Coupling of CFD with DPBM for an RDC extractor

Simulation and Experimental Validation of Two‐Phase Flow in an Aerosol Counter‐Flow Reactor using Computational Fluid Dynamics

Three‐Dimensional Simulation of Hydrodynamics in a Rotating Disc Contactor using Computational Fluid Dynamics

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