English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Computational fluid dynamics (CFD) coupled with a three-dimensional discrete element method (DEM) was applied to investigate the flow of corn-shaped particles in a cylindrical fluidized bed. The fluid phase was simulated with aturbulent model, and particle movement was simulated by the DEM. The particle motion coupled with the volume-averaged conservation of mass, momentum, and energy equations over a discretized domain. The corn-shaped particles were constructed as multi spheres (i.e., 4, 6, and 8 spherical elements). The particle-particle and particle-wall interactions were modeled using the Hertz-Mindlin no-slip contact model. The research was focused on the minimum velocity of fluidization ( Umf ) and pressure drop (Δ P ) of the corn particles with three different shapes. Additionally, the influence of the velocity of the fluid and particle shape on heat transfer was investigated. The simulation results showed that  Umf  increases with an increasing number and arrangement of spherical elements. As the number of particles increases,  Umf  and Δ Pmax  increase as well. The minimum fluid velocity of 2  Umf  is sufficient for the corn kernels to be thoroughly mixed.

CFD-DEM simulation of fluidization of multi sphere-modeled corn particles