Abstract
The possibility to offer good intermixing between particles is one of the main properties that make fluidized beds such an important industrial appliance. In this work, we use CFD-DEM simulations to compare mixing characteristics of spherical (AR-1) to elongated spherocylindrical particles (AR-4) of aspect ratio In simulation of AR-4 particles, single-particle and multi-particle correlations for hydrodynamic forces are tested. The results show that elongated particles have more vigorous intermixing and lower mixing times compared to spherical particles. Multi-particle correlations have a slight effect on particle mixing, and they increase the difference between AR-1 and AR-4 particles at higher gas velocities. Including hydrodynamic lift force and torque in the case of AR-4 particles leads to more vigorous mixing and lower mixing times.
Highlights
In industry many processes rely on manipulation of solid granular materials suspended by a gas, such as gasification, drying, coating, food processing and gas phase polymerization
The results show that elongated particles have more vigorous intermixing and lower mixing times compared to spherical particles
Multi-particle correlations have a slight effect on particle mixing, and they increase the difference between aspect ratio 1 (AR-1) and aspect ratio 4 (AR-4) particles at higher gas velocities
Summary
In industry many processes rely on manipulation of solid granular materials suspended by a gas, such as gasification, drying, coating, food processing and gas phase polymerization. Because many industrial processes use particles of nonspherical shape, recent years have witnessed an increase in development of numerical models for simulation of fluidized beds with non-spherical particles (Lu et al, 2015; Zhong et al, 2016; Vollmari et al, 2016; Mahajan et al, 2018a). Their work did not take into account effects of lift force and hydrodynamic torque, both of which have proven to be important for accurately predicting the behavior of elongated particles in fluidized beds (Mema et al, 2019). Sanjeevi and Padding (2020) developed multiparticle correlations for drag and lift force and hydrodynamic torque for elongated particles of aspect ratio 4. We investigate the effect of multi-particle correlations for hydrodynamic forces and torque and show the importance of the effects of lift force and hydrodynamic torque on the mixing properties of elongated (AR-4) particles
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