Experiments and computations of microfluidic liquid–liquid flow patterns
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. Lastly, 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 upmore »
- Authors:
-
- Univ. of Delaware, Newark, DE (United States)
- Laboratory of Catalysis and Catalytic Processes, Milano (Italy)
- Catalysis Center for Energy Innovation, Newark DE (United States)
- Univ. of Delaware, Newark, DE (United States); Catalysis Center for Energy Innovation, Newark DE (United States)
- Publication Date:
- Research Org.:
- RAPID Manufacturing Institute, New York, NY (United States)
- Sponsoring Org.:
- USDOE Office of Energy Efficiency and Renewable Energy (EERE), Energy Efficiency Office. Advanced Manufacturing Office
- OSTI Identifier:
- 1642397
- Alternate Identifier(s):
- OSTI ID: 1569773
- Grant/Contract Number:
- EE0007888
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Reaction Chemistry & Engineering
- Additional Journal Information:
- Journal Volume: 5; Journal Issue: 1; Journal ID: ISSN 2058-9883
- Publisher:
- Royal Society of Chemistry
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 37 INORGANIC, ORGANIC, PHYSICAL, AND ANALYTICAL CHEMISTRY; Biomass; computational fluid dynamics; flow pattern; laser induced fluorescence; machine learning; two-phase flow
Citation Formats
Desir, Pierre, Chen, Tai-Ying, Bracconi, Mauro, Saha, Basudeb, Maestri, Matteo, and Vlachos, Dionisios G. Experiments and computations of microfluidic liquid–liquid flow patterns. United States: N. p., 2019.
Web. doi:10.1039/C9RE00332K.
Desir, Pierre, Chen, Tai-Ying, Bracconi, Mauro, Saha, Basudeb, Maestri, Matteo, & Vlachos, Dionisios G. Experiments and computations of microfluidic liquid–liquid flow patterns. United States. https://doi.org/10.1039/C9RE00332K
Desir, Pierre, Chen, Tai-Ying, Bracconi, Mauro, Saha, Basudeb, Maestri, Matteo, and Vlachos, Dionisios G. Tue .
"Experiments and computations of microfluidic liquid–liquid flow patterns". United States. https://doi.org/10.1039/C9RE00332K. https://www.osti.gov/servlets/purl/1642397.
@article{osti_1642397,
title = {Experiments and computations of microfluidic liquid–liquid flow patterns},
author = {Desir, Pierre and Chen, Tai-Ying and Bracconi, Mauro and Saha, Basudeb and Maestri, Matteo and Vlachos, Dionisios G.},
abstractNote = {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. Lastly, 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%.},
doi = {10.1039/C9RE00332K},
journal = {Reaction Chemistry & Engineering},
number = 1,
volume = 5,
place = {United States},
year = {Tue Oct 01 00:00:00 EDT 2019},
month = {Tue Oct 01 00:00:00 EDT 2019}
}
Web of Science
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