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Simulation of granular flow in a rotating frame of reference using the discrete element method

Bastien Delacroix, Anya Bouarab, Louis Fradette, François Bertrand and Bruno Blais

Article (2020)

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Cite this document: Delacroix, B., Bouarab, A., Fradette, L., Bertrand, F. & Blais, B. (2020). Simulation of granular flow in a rotating frame of reference using the discrete element method. Powder Technology, 369, p. 146-161. doi:10.1016/j.powtec.2020.05.006
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Over the years, the Discrete Element Method (DEM) has attracted significant attention for its capacity to simulate granular flows because it captures physical phenomena that cannot be observed using continuum methods. However, the simulation of granular systems with DEM is computationally demanding, especially in the case of systems in rotation. One solution is to perform simulations in a non-inertial rotating frame of reference, which requires the addition of fictitious velocity-dependent forces such as the Coriolis force. We assess the numerical feasibility and accuracy of such DEM simulations. We show that the velocity Verlet scheme in its classical form no longer defines a symplectic map and is no longer of second order when there are velocity dependent forces. Nevertheless, our study of a dense particle flow within a rotating hourglass shows that the relevant properties of such flow are accurately reproduced in a non-inertial frame and that computational performance is improved.

Uncontrolled Keywords

DEMNon-inertial frameSymplectic integratorVolume presearving schemeCoriolis forceCFD-DEM

Open Access document in PolyPublie
Subjects: 1800 Génie chimique > 1800 Génie chimique
Department: Département de génie chimique
Research Center: CRCT - Centre de recherche en calcul thermochimique
URPEI - Unité de recherche en procédés d'écoulements industriels
Date Deposited: 10 Sep 2021 13:43
Last Modified: 13 May 2022 01:15
PolyPublie URL: https://publications.polymtl.ca/9148/
Document issued by the official publisher
Journal Title: Powder Technology (vol. 369)
Publisher: Elsevier
Official URL: https://doi.org/10.1016/j.powtec.2020.05.006


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