scholarly journals Numerical simulation of dense fluid-particle flows using computational fluid dynamics (CFD) and discrete element method (DEM)

PAMM ◽  
2012 ◽  
Vol 12 (1) ◽  
pp. 393-394 ◽  
Author(s):  
Naveed Iqbal ◽  
Cornelia Rauh ◽  
Antonio Delgado
Keyword(s):  
Fluid Dynamics ◽  
Numerical Simulation ◽  
Computational Fluid Dynamics ◽  
Discrete Element Method ◽  
Discrete Element ◽  
Fluid Particle ◽  
Particle Flows ◽  
Dense Fluid ◽  
Computational Fluid Dynamics Cfd ◽  
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 A Novel Approach For Analyzing Mixing Quality In Solid-Liquid Stirred Tanks Via Coupled Computational Fluid Dynamics - Discrete Element Method And Electrical Resistance Tomography

2021 ◽  
Author(s):  
Cindy Tran
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Discrete Element Method ◽  
Electrical Resistance ◽  
Particle Interaction ◽  
Discrete Element ◽  
Fluid Particle ◽  
Electrical Resistance Tomography ◽  
Mixing Quality ◽  
Solid Liquid

The mixing quality of a solid-liquid stirred tank operating in the turbulent regime was investigated, numerically and to an extent experimentally. Simulations were performed by coupling Computational Fluid Dynamics (CFD) and the Discrete Element Method (DEM). The results were evaluated against experimental data obtained using Electrical Resistance Tomography (ERT). This facilitated a novel and more rigorous assessment of CFD-DEM coupling – i.e. based on the spatial distribution of particle concentrations. Furthermore, a new mixing index definition was developed to quantify suspension quality to work in tandem with existing dispersion mixing indexes. This provides a more complete interpretation of mixing quality. In this work, it was found that the model underestimated suspension and dispersion due to model limitations associated with mesh size and fluid-particle interaction models. Furthermore, the predicted mixing quality was sensitive to changes in the drag model, including other fluid-particle interaction forces in simulations, and variations in certain particle properties

scholarly journals A Novel Approach For Analyzing Mixing Quality In Solid-Liquid Stirred Tanks Via Coupled Computational Fluid Dynamics - Discrete Element Method And Electrical Resistance Tomography

2021 ◽  
Author(s):  
Cindy Tran
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Discrete Element Method ◽  
Electrical Resistance ◽  
Particle Interaction ◽  
Discrete Element ◽  
Fluid Particle ◽  
Electrical Resistance Tomography ◽  
Mixing Quality ◽  
Solid Liquid

The mixing quality of a solid-liquid stirred tank operating in the turbulent regime was investigated, numerically and to an extent experimentally. Simulations were performed by coupling Computational Fluid Dynamics (CFD) and the Discrete Element Method (DEM). The results were evaluated against experimental data obtained using Electrical Resistance Tomography (ERT). This facilitated a novel and more rigorous assessment of CFD-DEM coupling – i.e. based on the spatial distribution of particle concentrations. Furthermore, a new mixing index definition was developed to quantify suspension quality to work in tandem with existing dispersion mixing indexes. This provides a more complete interpretation of mixing quality. In this work, it was found that the model underestimated suspension and dispersion due to model limitations associated with mesh size and fluid-particle interaction models. Furthermore, the predicted mixing quality was sensitive to changes in the drag model, including other fluid-particle interaction forces in simulations, and variations in certain particle properties

Sign in / Sign up

Export Citation Format

Share Document