Data and numerical simulation setup for Fluid inertia controls mixing-induced precipitation and clogging in pore to network-scale flows
Loading...
Persistent link to this item
Statistics
View StatisticsCollection period
2023-02-01
2023-12-01
2023-12-01
Date completed
2023-12-31
Date updated
Time period coverage
Geographic coverage
Source information
Journal Title
Journal ISSN
Volume Title
Title
Data and numerical simulation setup for Fluid inertia controls mixing-induced precipitation and clogging in pore to network-scale flows
Published Date
2024-01-16
Author Contact
Yang, Weipeng
yang8782@umn.edu
yang8782@umn.edu
Type
Dataset
Abstract
Mixing-induced mineral precipitation, a critical process in both natural and engineering processes, presents complex challenges in terms of control and predictability. The dynamics of precipitation, particularly under the influence of fluid flow, remain poorly understood. Using microfluidic experiments and three-dimensional reactive transport simulations, we demonstrate that fluid inertia controls mineral precipitation and clogging at flow intersections, even in laminar flows. We discern distinct precipitation regimes as a function of Reynolds number: low Reynolds numbers (Re ≤ 10) lead to precipitation shut off, whereas high Reynolds numbers (Re ≥ 50) prompt rapid clogging. Additionally, when injection rates are uneven from two inlets, we observed unexpected flow bifurcation phenomena, which resulted in enhanced concurrent precipitation in both downstream channels. Finally, we extend our findings to rough channel intersections and networks and demonstrate that the identified inertial effects that shape precipitation and clogging at the pore scale are also present and even more dramatic at the network scale. The findings provide a framework for designing and optimizing processes in which precipitation is an essential component, as well as shedding light on the fundamental mechanisms governing mixing-induced mineral precipitation in flow systems.
Description
We studied effects of fluid flow on mixing-induced mineral precipitation by microfluidic experiments and 3D numerical simulations.
Referenced by
under review
Related to
Replaces
item.page.isreplacedby
Publisher
Collections
Funding information
This work was supported as part of the Center on Geo-process in Mineral Carbon Storage, an Energy Frontier Research Center funded by the U.S. Department of Energy, Office of Science, Basic Energy Sciences at the University of Minnesota under award #DE-SC0023429. The fabrication of microfluidic chips was conducted in the Minnesota Nano Center, which is supported by the National Science Foundation through the National Nanotechnology Coordinated Infrastructure (NNCI) under Award Number ECCS-2025124.
item.page.sponsorshipfunderid
item.page.sponsorshipfundingagency
item.page.sponsorshipgrant
Previously Published Citation
Other identifiers
Suggested citation
Yang, Weipeng; Chen, Michael; Lee, Sang; Kang, Peter. (2024). Data and numerical simulation setup for Fluid inertia controls mixing-induced precipitation and clogging in pore to network-scale flows. Retrieved from the Data Repository for the University of Minnesota (DRUM), https://doi.org/10.13020/ktde-6a94.
View/Download File
File View/Open
Description
Size
even flow.zip
Experimental images under even flow conditions
(2.3 GB)
uneven flow.zip
Experimental images under uneven flow conditions
(2.28 GB)
rough channel.zip
Experimental images of rough channel intersections
(1.74 GB)
rough network Re=10.zip
Experimental images in rough networks at Re=10
(4.46 GB)
rough network Re=100.zip
Experimental images in rough networks at Re=100
(2.23 GB)
Comsol files.zip
Comsol simulation files and results
(1.02 GB)
Readme_published_V5.txt
Description of files and data in the dataset
(6.17 KB)
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.