| Issue |
EPJ Web Conf.
Volume 140, 2017
Powders and Grains 2017 – 8th International Conference on Micromechanics on Granular Media
|
|
|---|---|---|
| Article Number | 09015 | |
| Number of page(s) | 4 | |
| Section | Fluids and particles | |
| DOI | https://doi.org/10.1051/epjconf/201714009015 | |
| Published online | 30 June 2017 | |
https://doi.org/10.1051/epjconf/201714009015
2D ultra-fast MRI of granular dispersion by a liquid jet
1 Department of Chemical Engineering and Biotechnology, University of Cambridge, Pembroke Street, Cambridge CB2 3RA, UK
2 Department of Chemical and Process Engineering, University of Surrey, Guildford GU2 7XH, UK
3 Department of Chemistry, Durham University, Lower Mountjoy, South Road, Durham DH1 3LE, UK
* Corresponding author: mdm@cam.ac.uk
Published online: 30 June 2017
This paper illustrates the application of ultra-fast magnetic resonance imaging (MRI) as a noninvasive tool to study the dispersion of a dry, static granular bed by the injection of a liquid. Spatial distributions of undispersed grains (poppy seeds) and injected water were independently imaged at sub-millimetre resolution in 2D with ultra-fast MRI techniques. A liquid jet was observed above the bottom injection orifice, complementing optical imaging. Co-registration of the grains and water images enables the interaction of the static grains and of the liquid jet to be observed for the first time in situ. This visualization of the dispersion process can be used to identify optimal process parameters for a fast and uniform dispersion and to validate quantitatively numerical granular-fluid simulations [1].
© The Authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.