Microfluidic Experiments and Numerical Simulations of Inertia-induced Mixing and Reaction Maximization in Laminar Porous Media Flows
2024-10-10
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2020-03-01
2024-09-15
2024-09-15
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2024-10-08
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Microfluidic Experiments and Numerical Simulations of Inertia-induced Mixing and Reaction Maximization in Laminar Porous Media Flows
Published Date
2024-10-10
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Kang, Peter
pkkang@umn.edu
pkkang@umn.edu
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Experimental Data
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Abstract
Solute transport and biogeochemical reactions in porous and fractured media flows are controlled by mixing, as are subsurface engineering operations such as contaminant remediation, geothermal energy production, and carbon sequestration. A porous media flow is generally regarded as slow, so the effects of fluid inertia on mixing and reaction are typically ignored. Here, we demonstrate through microfluidic experiments and numerical simulations of mixing-induced reaction, that inertial recirculating flows readily emerge in laminar porous media flows and dramatically alter mixing and reaction dynamics. An optimal Reynolds number that maximizes the reaction rate is observed for individual pore throats of different sizes. This reaction maximization is attributed to the effects of recirculation flows on reactant availability, mixing, and reaction completion, which depend on the topology of recirculation relative to the boundary of the reactants or mixing interface. Recirculation enhances mixing and reactant availability, but a further increase in flow velocity reduces the residence time in recirculation, leading to a decrease in reaction rate. The reaction maximization is also confirmed in a flow channel with grain inclusions and a randomized porous media. Interestingly, the domain-wide reaction rate shows a dramatic increase with increasing Re in the randomized porous media case. This is because fluid inertia induces complex three-dimensional flows in a randomized porous media, which significantly increases transverse spreading and mixing. This study shows how inertial flows control reaction dynamics at the pore scale and beyond, thus having major implications for a wide range of environmental systems.
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The data set consists of zip archives of the primary experimental data, simulation data, as well as analysis scripts used in support of a manuscript describing the impacts of inertial recirculation flows in porous media described in the abstract. The manuscript is currently under review and this posting will be updated with an appropriate link when published. A README file is provided to orient users to the data and analysis scripts.
Referenced by
Chen, M.A., Lee, S.H., Kang, P.K. (2024). Inertia-induced mixing and reaction maximization in laminar porous media flows, Proc. Natl. Acad. Sci. U.S.A.
121 (50) e2407145121, https://doi.org/10.1073/pnas.2407145121.
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US Department of Energy Energy Frontier Research Center on Geo-processes in Mineral Carbon Storage , DE-SC0023429
National Science Foundation Postdoctoral Fellowship Award EAR-952686
National Science Foundation Grant No. EAR-2046015
American Chemical Society Petroleum Research Fund
National Science Foundation National Nanotechnology Coordinated Infrastructure Award Number ECCS-2025124
National Science Foundation Postdoctoral Fellowship Award EAR-952686
National Science Foundation Grant No. EAR-2046015
American Chemical Society Petroleum Research Fund
National Science Foundation National Nanotechnology Coordinated Infrastructure Award Number ECCS-2025124
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Chen, Michael; Lee, Sanghyun; Kang, Peter. (2024). Microfluidic Experiments and Numerical Simulations of Inertia-induced Mixing and Reaction Maximization in Laminar Porous Media Flows. Retrieved from the Data Repository for the University of Minnesota (DRUM), https://doi.org/10.13020/r573-jw75.
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README_ChenV2.txt
Description of data
(38.33 KB)
Raw Simulation Images.zip
Raw simulation images
(122.48 MB)
ExperimentalImages_RandomPM_Chemiluminescence.zip
Experimental Images Random PM Chemiluminescence
(163.35 MB)
ExperimentalImages_RandomPM_Tracer.zip
Experimental images Random PM Tracer
(376.5 MB)
ExperimentalImages_Fracture.zip
Experimental images Fracture
(367.13 MB)
ExperimentalImages_25umPoreThroat.zip
Experimental images 25um Pore Throat
(684.44 MB)
ExperimentalImages_100umPoreThroat.zip
Experimental images 100um Pore Throat
(631.8 MB)
DataProcessingScripts.zip
Script files used for processing experimental data and images
(35.08 KB)
SimulationData_25um.zip
Simulation data 25 um
(4.94 GB)
SimulationData_d50.zip
Simulation data d50
(5.92 GB)
SimulationData_d100.zip
Simulation data d100
(4.94 GB)
StreamlineData_d25.zip
Streamline data d25
(5.28 GB)
StreamlineData_d50_highRe.zip
Streamline data d50 high (part 1 of 2)
(3.22 GB)
StreamlineData_d50_lowRe.zip
Streamline data d50 low (part 2 of 2)
(3.04 GB)
StreamlineData_d100.zip
Streamline data d100
(4.6 GB)
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