Bastien Delacroix, Juliane Rastoueix, Louis Fradette, François Bertrand and Bruno Blais
Article (2021)
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Published Version Terms of Use: Creative Commons Attribution Non-commercial No Derivatives . Restricted to: Repository staff only until 24 September 2022. Request a copy |
Cite this document: | Delacroix, B., Rastoueix, J., Fradette, L., Bertrand, F. & Blais, B. (2021). CFD-DEM simulations of solid-liquid flow in stirred tanks using a non-inertial frame of reference. Chemical Engineering Science, 230. doi:10.1016/j.ces.2020.116137 |
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Abstract
Mixing applications operating in the laminar regime are used in numerous industrial processes in the pharmaceutical, chemical, and food industries. The aim of this paper is to introduce a numerical model adapted to solid-liquid mixing situations in stirred tanks. The method presented herein is based on a Euler-Lagrange approach using the CFD-DEM method. This method couples computational fluid dynamics (CFD) for the fluid with the discrete element method (DEM) for the solid particles. We introduce a rotating frame of reference approach, which is the first of its kind for CFD-DEM. In this paper we discuss the main issues related to the modeling of complex rotating impeller geometries, we explain the various issues involved in conducting a CFD-DEM simulation in a non-inertial frame, we compare our model with experimental results obtained with a pitched blade turbine and, lastly, we use our model to study solid-liquid mixing with a double helical ribbon.
Uncontrolled Keywords
CFD-DEMMultiphase flowsNon-inertial frameSingle reference frameSolid-liquid mixingClose-clearance impeller
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Subjects: | 1800 Génie chimique > 1800 Génie chimique |
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Department: | Département de génie chimique |
Research Center: | URPEI - Unité de recherche en procédés d'écoulements industriels |
Funders: | CRSNG/NSERC |
Date Deposited: | 10 Sep 2021 13:43 |
Last Modified: | 11 Sep 2021 01:20 |
PolyPublie URL: | https://publications.polymtl.ca/9149/ |
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Journal Title: | Chemical Engineering Science (vol. 230) |
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Publisher: | Elsevier |
Official URL: | https://doi.org/10.1016/j.ces.2020.116137 |
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