A drag force formula for heterogeneous granular flow systems based on finite average statistical method

The existing drag models are mostly based on the assumption of homogenous fluidization. However, the use of a homogeneous drag model to predict a heterogeneous granular flow system will cause a deviation. In this study, we developed a drag force model based on the assumption of heterogeneous fluidization. To prevent weakening of the heterogeneous characteristics in the drag force formula, we propose a finite average statistical method to filter the information of the heterogeneous granular cluster. The filtered information was used to fit the modified drag formula, which can reflect the heterogeneity of the granular cluster considering different configurations. A comparison shows that the new proposed drag formula filtered by the finite average statistical method fits well with energy minimization multi-scale simulation results. (C) 2020 Chinese Society of Particuology and Institute of Process Engineering, Chinese Academy of Sciences. Published by Elsevier B.V. All rights reserved.

Automated summary

The study introduces a drag force model based on heterogeneous fluidization assumption, utilizing a finite average statistical method to filter granular cluster information, reflecting heterogeneity considering different configurations.