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Fluidization of elongated particles - effect of multi-particle correlations for drag, lift and torque in CFD-DEM
  • Ivan Mema,
  • Johan Padding
Ivan Mema
Delft University of Technology
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Johan Padding
Technische Universiteit Delft
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Abstract

Having proper correlations for hydrodynamic forces is essential for successful CFD-DEM simulations of a fluidized bed. For spherical particles in a fluidized bed, efficient correlations for predicting the drag force, including the crowding effect caused by surrounding particles, are already available and well tested. However for elongated particles, next to the drag force, the lift force and hydrodynamic torque also gain importance. In this work we apply recently developed multi-particle correlations for drag, lift and torque in CFD-DEM simulations of a fluidized bed with spherocylindrical particles of aspect ratio 4 and compare them to simulations with widely used single-particle correlations for elongated particles. Simulation results are compared with previous magnetic particle tracking (MPT) experimental results. We show that multi-particle correlations improve the prediction of particle orientation and vertical velocity. We also show the importance of including hydrodynamic torque.

Peer review status:UNDER REVIEW

16 Jun 2020Submitted to AIChE Journal
16 Jun 2020Submission Checks Completed
16 Jun 2020Assigned to Editor
01 Jul 2020Reviewer(s) Assigned
21 Aug 2020Editorial Decision: Revise Major
08 Sep 20201st Revision Received
12 Sep 2020Submission Checks Completed
12 Sep 2020Assigned to Editor
16 Sep 2020Reviewer(s) Assigned