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Investigation of nonlocal granular fluidity models using nuclear magnetic resonance

journal contribution
posted on 2024-05-15, 00:01 authored by Daniel ClarkeDaniel Clarke, Joseph Poata, Petrik GalvosasPetrik Galvosas, Daniel J Holland
Nonlocal rheology models describe features in granular flows, such as scale dependence and flow below the yield point, that are not captured by local rheology models. It has been proposed that these features may be described by the transport of a property known as the granular fluidity. In this article, we studied an annular Couette shear cell of lobelia seeds using nuclear magnetic resonance to collect detailed measurements of the velocity distribution and volume fraction. These data were used to study nonlocal granular rheology models. We found that the nonlocal granular fluidity model was capable of accurately describing the decay in the velocity profile along the shear gradient direction. We also measured the dimensionless fluidity and validated the general form of the relation between this quantity and the volume fraction.

Funding

3D Printed Porous Media for Process Engineering | Funder: University of Canterbury

History

Preferred citation

Clarke, D. A., Poata, J., Galvosas, P. & Holland, D. J. (2024). Investigation of nonlocal granular fluidity models using nuclear magnetic resonance. Physics of Fluids, 36(5), 053317-. https://doi.org/10.1063/5.0203032

Journal title

Physics of Fluids

Volume

36

Issue

5

Publication date

2024-05-01

Pagination

053317

Publisher

AIP Publishing

Publication status

Published

Online publication date

2024-05-08

ISSN

1070-6631

eISSN

1089-7666

Language

en

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