Volume 9 Issue 4
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Müller, C. R., Holland, D. J., Third, J. R., Sederman, A. J., Dennis, J. S., & Gladden, L. F. (2011). Multi-scale magnetic resonance measurements and validation of Discrete Element Model simulations. Particuology, 9(4), 330–341. https://doi.org/10.1016/j.partic.2011.02.003
Multi-scale magnetic resonance measurements and validation of Discrete Element Model simulations
Christoph R. Müller a *, Daniel J. Holland b, James R. Third a, Andrew J. Sederman b, John S. Dennis b, Lynn F. Gladden b
a Institute of Energy Technology, Department of Mechanical and Process Engineering, ETH Zurich, Leonhardstrasse 27, 8092 Zurich, Switzerland
b Department of Chemical Engineering and Biotechnology, University of Cambridge, Pembroke Street, CB2 3RA, United Kingdom
10.1016/j.partic.2011.02.003
Volume 9, Issue 4, August 2011, Pages 330-341
Received 8 August 2010, Revised 27 December 2010, Accepted 12 February 2011, Available online 24 May 2011.
E-mail: muelchri@ethz.ch

Highlights
Abstract

This short review describes the capabilities of magnetic resonance (MR) to image opaque single- and two-phase granular systems, such as rotating cylinders and gas-fluidized beds operated in different fluidization regimes. The unique capability of MR to not only image the solids’ distribution (voidage) but also the velocity of the particulate phase is clearly shown. It is demonstrated that MR can provide measurements over different length and time scales. With the MR equipment used for the studies summarized here, temporal and spatial scales range from sub-millisecond to hours and from a few hundred micrometres to a few centimetres, respectively. Besides providing crucial data required for an improved understanding of the underlying physics of granular flows, multi-scale MR measurements were also used to validate numerical simulations of granular systems. It is shown that predictions of time-averaged properties, such as voidage and velocity of the particulate phase, made using the Discrete Element Model agree very well with MR measurements.

Graphical abstract
Keywords
Discrete Element Modelling; Magnetic resonance imaging; Multiscale; Gas-fluidized beds; Rotating cylinders