Liquid mixing in gas–liquid two-phase flow by meandering microchannels

Fries, Donata M.; Rohr, Philipp Rudolf von

doi:10.1016/j.ces.2008.11.019

Cited by 85 publications

(68 citation statements)

References 47 publications

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“…They addressed the droplet deformation at the turns, which contributes to the mixing process. Fries and von Rohr [34] investigated the mixing process in slugs and found that the mixing length could be decreased to 12% compared to that in the straight channel design.…”

Section: Introductionmentioning

confidence: 99%

“…Numerical investigations on flow field or mixing in droplets moving in straight [35][36][37] or meandering microchannels [34,38,39] have been reported. Some simulations were carried out with interface prediction methods to capture interface shapes [33,[37][38][39], while others assumed flat or curved interface shapes [34][35][36].…”

Section: Introductionmentioning

confidence: 99%

“…Some simulations were carried out with interface prediction methods to capture interface shapes [33,[37][38][39], while others assumed flat or curved interface shapes [34][35][36]. Most of the simulations were performed with two-dimensional (2D) models.…”

Section: Introductionmentioning

confidence: 99%

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Analysis of chaotic mixing in plugs moving in meandering microchannels

2011

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Droplets moving in meandering microchannels can serve as a passive and robust strategy to produce chaotic mixing of species in droplet-based microfluidics. In this paper, a simplified theoretical model is proposed for plug-shaped droplets moving in meandering microchannels at Stokes flow. With this model to provide the velocity field, particle tracking, which requires a large computation time, is performed directly and easily without interpolation. With this convenience, a broad survey of the parameter space is carried out to investigate chaotic mixing in plugs, including the channel curvature, the Peclet number, the viscosity ratio, and the plug length. The results show that in order to achieve rapid mixing in plugs in meandering microchannels, a large curvature, a small Peclet number, a moderate viscosity ratio, and a moderate plug length are preferred.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Analysis of chaotic mixing in plugs moving in meandering microchannels

2011

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“…The ratio of film and cap mass transfer is an important parameter in determining if inter-phase mass transport can be improved through redistribution of cap and film area via bubble breakup and flow pattern transitions (Kirpalani et al, 2008;Fries and von Rohr, 2009;Donaldson et al, 2010). In the CFD simulations of van Baten and Krishna (2004), film mass transfer typically accounted for 60% of the overall transfer between the bubble and liquid slug.…”

Section: Film Vs Cap Mass Transfermentioning

confidence: 99%

Predicting inter-phase mass transfer for idealized Taylor flow: A comparison of numerical frameworks

Donaldson

Macchi

Kirpalani

2011

Chemical Engineering Science

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Four numerical frameworks were derived to investigate the impact of underlying assumptions and numerical complexity on the predicted mass transfer between a Taylor bubble and liquid slug in circular capillaries. The separate influences of bubble velocity and film length, slug length, and bubble film thickness on k L a were compared to empirical and CFD-based predictions from existing literature. Reasonable agreement was obtained using a Slug Film model, which accounted for diffusion-limited mass transfer between the slug film and circulating bulk without the need for an iterative numerical solution. Subsequent investigation of the relative contributions of film and cap mass transport for industrially relevant conditions suggests that both mechanisms need to be accounted for during the prediction of k L a.

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“…A horizontal xy plate vortex is also apparent if the channel cross section is square, due to the drag from the side walls. Researchers have used particle image velocimetry and other methods to image the described pattern in the specialized case of slug flow, where the droplet completely fills the channel [King, Walsh, and Grimes, 2007;Kashid et al, 2011;Fries and von Rohr, 2009;Sarrazin et al, 2008]. Simulations of confined cases have also been performed [King, Walsh, and Grimes, 2007;Kashid et al, 2011;Fries and von Rohr, 2009;Sarrazin et al, 2008].…”

Section: Introductionmentioning

confidence: 99%

Multiscale models of nuclear waste reprocessing : from the mesoscale to the plant-scale.

Rao¹,

Brotherton²,

Domino³

et al. 2012

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Nuclear waste reprocessing and nonproliferation models are needed to support the renaissance in nuclear energy. This report summarizes an LDRD project to develop predictive capabilities to aid the next-generation nuclear fuel reprocessing, in SIERRA Mechanics, Sandia's high performance computing multiphysics code suite and Cantera, an open source software product for thermodynamics and kinetic modeling.Much of the focus of the project has been to develop a moving conformal decomposition finite element method (CDFEM) method applicable to mass transport at the water/oil droplet interface that occurs in the turbulent emulsion of droplets within the contactor. Contactor-scale models were developed using SIERRA Mechanics turbulence modeling capability. Unit operations occur at the column-scale where many contactors are connected in series. Population balance models 4 were developed to investigate placements and coupling of contactors at this scale. Thermodynamics models of the separation were developed in Cantera to allow for the prediction of distribution coefficients for various concentrations of surfactant and acid. Droplet-scale modeling was conducted in a microfluidic device and for verification of the algorithm. Extensive validation and discovery experiments were performed at the droplet and contactor-scales for both fluid dynamics and mass transport. 5 AcknowledgmentsThe authors would like to thank our mission specialist Veena Tikare for helping us develop the project, our reprocessing material balance expert Ben Cipiti for explaining the details of the reprocessing plant., Roger Pawlowski and Rich Schiek helped with the idea of a scalable network model, but were unable to continue with the project, though were very helpful in the first year of the work. We believe this type of work should be continued at Sandia. Paul Galambos and John Pflug supported our microfluidic experiments. Reviewers Randy Schunk and Lisa Mondy provided helpful feedback. Randy Schunk also helped with our droplet-scale modeling in a moving reference frame. The Aria Product Owners past and present, Amalia Black, Sheldon Tieszen, and Kim Mish, have been invaluable for keeping the project going despite the many other directions of Sierra Mechanics. We would like to thank the "Enabling Predictive Simulations" investment area of the LDRD program for funding this work. We would like to express our gratitude to the LDRD office for the extension given for receiving the final report due to the illness of the PI.6

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Liquid mixing in gas–liquid two-phase flow by meandering microchannels

Cited by 85 publications

References 47 publications

Analysis of chaotic mixing in plugs moving in meandering microchannels

Analysis of chaotic mixing in plugs moving in meandering microchannels

Predicting inter-phase mass transfer for idealized Taylor flow: A comparison of numerical frameworks

Multiscale models of nuclear waste reprocessing : from the mesoscale to the plant-scale.

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