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Real-Time Magnetic Resonance Imaging of Bubble Behavior and Particle Velocity in Fluidized Beds


Penn, Alexander; Boyce, Christopher M; Kovar, Thomas; Tsuji, Takuya; Pruessmann, Klaas P; Müller, Christoph R (2018). Real-Time Magnetic Resonance Imaging of Bubble Behavior and Particle Velocity in Fluidized Beds. Industrial & Engineering Chemistry Research, 57(29):9674-9682.

Abstract

Snapshots of particle concentration and velocity fields in bubbling gas–solid fluidized beds were acquired using magnetic resonance imaging. Using a recently developed multichannel radiofrequency receiver coil in combination with fast readout techniques, adapted from medical MRI protocols, the temporal resolution was 7 and 18 ms for two-dimensional images of particle concentration and velocity fields, respectively. A cylindrical bed with 190 mm diameter and 300 mm height was filled to heights of 100, 150, and 200 mm with spherical 1 and 3 mm diameter particles and fluidized at ratios of superficial gas velocity to minimum fluidization velocity (U/Umf) of 1.2, 1.5, 2.0, 3.0, and 4.0. The effects of these varying parameters on the number of bubbles, bubble diameter, bed height, and particle speed are investigated. It is hoped that these data sets will become important benchmarks against which computational, analytical, and empirical models can be validated.

Abstract

Snapshots of particle concentration and velocity fields in bubbling gas–solid fluidized beds were acquired using magnetic resonance imaging. Using a recently developed multichannel radiofrequency receiver coil in combination with fast readout techniques, adapted from medical MRI protocols, the temporal resolution was 7 and 18 ms for two-dimensional images of particle concentration and velocity fields, respectively. A cylindrical bed with 190 mm diameter and 300 mm height was filled to heights of 100, 150, and 200 mm with spherical 1 and 3 mm diameter particles and fluidized at ratios of superficial gas velocity to minimum fluidization velocity (U/Umf) of 1.2, 1.5, 2.0, 3.0, and 4.0. The effects of these varying parameters on the number of bubbles, bubble diameter, bed height, and particle speed are investigated. It is hoped that these data sets will become important benchmarks against which computational, analytical, and empirical models can be validated.

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Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:04 Faculty of Medicine > Institute of Biomedical Engineering
Dewey Decimal Classification:170 Ethics
610 Medicine & health
Uncontrolled Keywords:Industrial and Manufacturing Engineering, General Chemistry, General Chemical Engineering
Language:English
Date:25 July 2018
Deposited On:05 Mar 2019 16:17
Last Modified:31 Mar 2019 05:55
Publisher:American Chemical Society (ACS)
ISSN:0888-5885
OA Status:Closed
Publisher DOI:https://doi.org/10.1021/acs.iecr.8b00932
Project Information:
  • : FunderSNSF
  • : Grant ID200021_153290
  • : Project TitleAdvancement of magnetic resonance imaging and discrete element models to probe the dynamics of fluidised beds with unprecedented spatial and temporal resolution

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