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Experiments and computations of microfluidic liquid–liquid flow patterns

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Abstract

We study two-phase liquid–liquid flow patterns in a 500 μm capillary microchannel for four biphasic systems: ethyl acetate/water, 2-pentanol/water, methyl isobutyl ketone/water, and heptane/water. Flow visualization experiments using laser induced fluorescence (LIF) reveal a total of 7 different flow patterns for all solvent pairs, namely slug flow, droplet flow, slug-droplet flow, parallel, annular, dispersed, and irregular flow. A map of different flow patterns was built to delineate the origin of their formation. We find conventional dimensionless groups are insufficient to uniquely identify the flow patterns. Computational fluid dynamics (CFD) modeling in OpenFOAM shows agreement with the experimental flow patterns for most of the two-phase flows. Principal component analysis reduces the dimensionality of potential descriptors of flow patterns and, unlike prior work using two dimensionless numbers, determines six important features that describe >95% of the variance of the experimental flow patterns. These include the total flow rate, the flow rate ratio between the two phases, the capillary and Ohnesorge numbers of the aqueous phase, and the Weber number and velocity of the organic phase. We build a decision-tree model to further regress the data and identify the critical features and demonstrate an accuracy in predicting the flow patterns of up to 93%.

Graphical abstract: Experiments and computations of microfluidic liquid–liquid flow patterns

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Publication details

The article was received on 12 Aug 2019, accepted on 01 Oct 2019 and first published on 01 Oct 2019


Article type: Paper
DOI: 10.1039/C9RE00332K
React. Chem. Eng., 2019, Advance Article

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    Experiments and computations of microfluidic liquid–liquid flow patterns

    P. Desir, T. Chen, M. Bracconi, B. Saha, M. Maestri and D. G. Vlachos, React. Chem. Eng., 2019, Advance Article , DOI: 10.1039/C9RE00332K

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