Fluidization of elongated particles - effect of multi-particle
correlations for drag, lift and torque in CFD-DEM
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.