scholarly journals Roles of solid effective stress and fluid-particle interaction force in modeling shear-induced particle migration in non-Brownian suspensions

2021 ◽  
Vol 6 (1) ◽  
Author(s):  
Rashid Jamshidi ◽  
Jurriaan J. J. Gillissen ◽  
Panagiota Angeli ◽  
Luca Mazzei
Keyword(s):  
Effective Stress ◽  
Particle Interaction ◽  
Interaction Force ◽  
Particle Migration ◽  
Fluid Particle

A direct force model for Galilean invariant lattice Boltzmann simulation of fluid-particle flows

2018 ◽  
Vol 29 (03) ◽  
pp. 1850021 ◽  
Author(s):  
Shi Tao ◽  
Qing He ◽  
Baiman Chen ◽  
Xiaoping Yang ◽  
Simin Huang
Keyword(s):  
Lattice Boltzmann ◽  
Particle Interaction ◽  
Interaction Force ◽  
Fluid Particle ◽  
Solid Boundary ◽  
Force Model ◽  
Particulate Flows ◽  
Momentum Exchange ◽  
Particle Flows ◽  
Lattice Boltzmann Simulation

The lattice Boltzmann method (LBM) has been widely used in the simulation of particulate flows involving complex moving boundaries. Due to the kinetic background of LBM, the bounce-back (BB) rule and the momentum exchange (ME) method can be easily applied to the solid boundary treatment and the evaluation of fluid–solid interaction force, respectively. However, recently it has been found that both the BB and ME schemes may violate the principle of Galilean invariance (GI). Some modified BB and ME methods have been proposed to reduce the GI error. But these remedies have been recognized subsequently to be inconsistent with Newton’s Third Law. Therefore, contrary to those corrections based on the BB and ME methods, a unified iterative approach is adopted to handle the solid boundary in the present study. Furthermore, a direct force (DF) scheme is proposed to evaluate the fluid–particle interaction force. The methods preserve the efficiency of the BB and ME schemes, and the performance on the accuracy and GI is verified and validated in the test cases of particulate flows with freely moving particles.

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

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