Between Dec 19, 2024 and Jan 2, 2025, datasets can be submitted to DRUM but will not be processed until after the break. Staff will not be available to answer email during this period, and will not be able to provide DOIs until after Jan 2. If you are in need of a DOI during this period, consider Dryad or OpenICPSR. Submission responses to the UDC may also be delayed during this time.
 

Microfluidic Experiments and Numerical Simulations of Inertia-induced Mixing and Reaction Maximization in Laminar Porous Media Flows

Loading...
Thumbnail Image
Statistics
View Statistics

Collection period

2020-03-01
2024-09-15

Date completed

2024-10-08

Date updated

Time period coverage

Geographic coverage

Source information

Journal Title

Journal ISSN

Volume Title

Title

Microfluidic Experiments and Numerical Simulations of Inertia-induced Mixing and Reaction Maximization in Laminar Porous Media Flows

Published Date

2024-10-10

Author Contact

Kang, Peter
pkkang@umn.edu

Type

Dataset
Experimental Data
Simulation Data

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.

Description

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.

Related to

Replaces

item.page.isreplacedby

Publisher

Funding information

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

item.page.sponsorshipfunderid

item.page.sponsorshipfundingagency

item.page.sponsorshipgrant

Previously Published Citation

Other identifiers

Suggested citation

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.

Content distributed via the University Digital Conservancy may be subject to additional license and use restrictions applied by the depositor. By using these files, users agree to the Terms of Use. Materials in the UDC may contain content that is disturbing and/or harmful. For more information, please see our statement on harmful content in digital repositories.