Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Visualisation of structure and flow in packed beds

A J Sederman1, M L Johns, P Alexander

  • 1Department of Chemical Engineering, University of Cambridge, UK.

Magnetic Resonance Imaging
|November 6, 1998
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

A simple liquid state <sup>1</sup>H NMR measurement to directly determine the surface hydroxyl density of porous silica.

Chemical communications (Cambridge, England)·2021
Same author

Microplastics fouling and interaction with polymeric membranes: A review.

Chemosphere·2021
Same author

Characterizing pore-scale structure-flow correlations in sedimentary rocks using magnetic resonance imaging.

Physical review. E·2021
Same author

In Situ Chemically-Selective Monitoring of Multiphase Displacement Processes in a Carbonate Rock Using 3D Magnetic Resonance Imaging.

Transport in porous media·2020
Same author

Identification of sampling patterns for high-resolution compressed sensing MRI of porous materials: 'learning' from X-ray microcomputed tomography data.

Journal of microscopy·2019
Same author

Optimising sampling patterns for bi-exponentially decaying signals.

Magnetic resonance imaging·2018

Magnetic resonance imaging reveals significant flow heterogeneity in packed beds. A small fraction of pores carry a disproportionately large volume of fluid, impacting overall flow dynamics.

Area of Science:

  • Fluid dynamics
  • Biomedical engineering
  • Materials science

Background:

  • Understanding fluid flow through porous media is crucial in various scientific and engineering fields.
  • Packed beds are common in chemical reactors, filters, and biological systems.
  • Characterizing the relationship between pore structure and flow behavior is essential for process optimization.

Purpose of the Study:

  • To investigate structure-flow correlations within the interparticle space of a packed bed using advanced Magnetic Resonance Imaging (MRI) techniques.
  • To quantify the heterogeneity of fluid flow and identify pores with anomalous flow characteristics.

Main Methods:

  • Utilized MRI volume and velocity-measurement techniques to obtain 3D flow data.
  • Acquired images of three orthogonal velocity components in axial and radial slices.

Related Experiment Videos

  • Analyzed 3D volume images to partition interparticle space into pores and identify pore necks.
  • Main Results:

    • Observed significant heterogeneity in fluid flow within the packed bed.
    • Identified that approximately 8% of pores carried 40% of the total volume flow.
    • Characterized the specific features of pores exhibiting anomalously high flow rates and velocities.

    Conclusions:

    • The study demonstrates the power of MRI in elucidating complex flow patterns in packed beds.
    • Findings highlight the critical role of specific pore structures in driving bulk flow behavior.
    • Results provide valuable insights for designing and optimizing systems involving fluid flow through porous media.