CFD–DEM simulation of charged particles in riser with coarse-graining model of tribocharging and electrostatics
Year: 2026
Type: article
Abstract: Electrostatic effects in industrial granular systems such as recirculating fluidized beds can be important due to significant implications on process performances. Addressing these effects through numerical simulation is challenging due to the scarcity of suitable models and the long computational times required. This study proposes a coarse-graining (CG) approach within the CFD–DEM technique to compute triboelectric charging effect, significantly reducing computational load. After validation, the coarse-grained model is applied to a circulating fluidized bed riser. By comparison with experimental measurement, the recirculating solids flow is estimated and charged vs. uncharged conditions are compared. The effect of the coarse graining factor is investigated in detail, revealing that the mass, overall specific charge and specific charge distribution along the radius and height is correctly scaled up to CG factor 6. Finally, simulation results at different scaling are utilized to quantify the solids adhering at the riser column walls, showing constant surface coverage at CG factor up to 10 and linear scaling of the adhered mass. Overall, the CG strategy proves promising for large scale simulations of electrostatic effects in industrial processes.
Source: Powder Technology
Institutions: University of Calabria, The University of Osaka
Language: English
Subfield: Computational Mechanics
Field: Engineering
Domain: Physical Sciences
Open Access status: hybrid
Estimated APC paid: $4,610
Funder: Università della Calabria
OpenAlex ID: W7203440692
