scholarly journals Validation of pressure drop prediction and bed generation of fixed‐beds with complex particle shapes using discrete element method and computational fluid dynamics

AIChE Journal ◽  
2020 ◽  
Vol 66 (6) ◽  
Author(s):  
Nico Jurtz ◽  
Gregor D. Wehinger ◽  
Urvashi Srivastava ◽  
Tobias Henkel ◽  
Matthias Kraume
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Pressure Drop ◽  
Discrete Element Method ◽  
Discrete Element ◽  
Complex Particle ◽  
Fixed Beds ◽  
Particle Shapes ◽  
Element Method

Discrete element method–computational fluid dynamics analyses of flexible fibre fluidization

2021 ◽  
Vol 910 ◽  
Author(s):  
Yiyang Jiang ◽  
Yu Guo ◽  
Zhaosheng Yu ◽  
Xia Hua ◽  
Jianzhong Lin ◽  
...  
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Discrete Element Method ◽  
Discrete Element ◽  
Dynamics Analyses ◽  
Element Method

Abstract

Modeling a Fluidized Bed Dryer through Computational Fluid Dynamics and Discrete Element Method

2021 ◽  
Author(s):  
Sebastian Alexander Pérez Cortés ◽  
Yerko Rafael Aguilera Carvajal ◽  
Juan Pablo Vargas Norambuena ◽  
Javier Antonio Norambuena Vásquez ◽  
Juan Andrés Jarufe Troncoso ◽  
...  
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Discrete Element Method ◽  
Fluidized Bed ◽  
Discrete Element ◽  
Fluidized Bed Dryer ◽  
Element Method

scholarly journals Computational Fluid Dynamics-Discrete Element Method Modeling of an Industrial-Scale Wurster Coater

2019 ◽  
Vol 108 (1) ◽  
pp. 538-550 ◽  
Author(s):  
Peter Böhling ◽  
Johannes G. Khinast ◽  
Dalibor Jajcevic ◽  
Conrad Davies ◽  
Alan Carmody ◽  
...  
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Discrete Element Method ◽  
Discrete Element ◽  
Industrial Scale ◽  
Element Method

scholarly journals The mechanism of emitter clogging analyzed by CFD–DEM simulation and PTV experiment

2018 ◽  
Vol 10 (1) ◽  
pp. 168781401774302 ◽  
Author(s):  
Liming Yu ◽  
Na Li ◽  
Jun Long ◽  
Xiaogang Liu ◽  
Qiliang Yang
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Discrete Element Method ◽  
Single Particle ◽  
Phase Particle ◽  
Discrete Element ◽  
Main Stream ◽  
Total Force ◽  
Labyrinth Channel ◽  
Element Method

Small but complicated labyrinth channel emitters are easily clogged. In this study, computational fluid dynamics–discrete element method coupling approach was employed to investigate the mechanism of emitter clogging caused by particles in size of 65, 100, and 150 µm. Computational fluid dynamics used Navier–Stokes equation to analyze flow characteristics of continuous phase. Discrete element method used Newton’s laws of motion to measure single particle motion and group distribution of disperse phase. Particle tracking velocimetry was also utilized to follow the trajectories and velocity of single particle. Our results indicated that the smaller the particle size, the less the total force. Tiny sands were mainly influenced by drag forces. The amplitude between tooth tips was small. Particles moved basically in the main stream with fast velocity and short travel distance, thereby having good following performance. It took shorter time to reach micro-dynamic balance. Meanwhile, the amount of sediments in the labyrinth channel was less. Particles in size of 150 µm were mainly affected by inertial forces. They can easily enter vortex areas. Sands staying longer than 0.1 s in the labyrinth channel accounted for 37.9% of total number. Sand groups were mainly distributed at the inlet of labyrinth channel. The more sands trapped in vortex areas, the easier it was to precipitate and cause emitter clogging.

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