Abstract:
A B S T R A C T:
The computational cost of the discrete element method (DEM)-population balance model
(PBM) coupled framework is predominantly attributed to DEM simulations. To overcome
this challenge, coarse-grained (CG) particles have been introduced in the DEM-PBM coupled
framework. In this study, we proposed a new CG-enabled DEM-PBM coupled framework that
builds upon the previous work of Das et al. (Proc. R. Soc. Lond. Ser. A Math. Phys. Eng.
Sci. 478 (2261) (2022) 20220076). By incorporating the CG technique, the particle number
density is reduced, resulting in fewer collisions compared to the resolved system. To address
this issue, a scaling law has been developed to derive the collision frequency of the resolved
system from the CG system. The verification of the new scaling law has been demonstrated
through various simulation studies. Furthermore, the entire DEM-PBM coupled framework has
been modified using the proposed methodology. The efficiency of the CG–DEM–PBM coupled
simulation method has been successfully demonstrated through simulations of rotating drum
and continuous mixing technology (CMT). Compared to the resolved simulation approach,
the newly proposed CG-enabled DEM-PBM coupled framework maintains accuracy in terms
of particle size distribution and other essential findings while significantly reducing simulation
time.
