EULERIAN AND LAGRANGIAN SIMULATIONS OF PARTICLE DEPOSITION FROM A POINT SOURCE IN A TURBULENT CHANNEL FLOW

1990 ◽  
Vol 8 (3-4) ◽  
pp. 145-166 ◽  
Author(s):  
SALEM ABUZEID ◽  
AHMED A. BUSNAINA ◽  
GOODARZ AHMADI
Keyword(s):  
Point Source ◽  
Channel Flow ◽  
Particle Deposition ◽  
Turbulent Channel Flow

Deposition of Small Particles From Turbulent Flows

2003 ◽  
Author(s):  
Z. Wu ◽  
J. B. Young
Keyword(s):  
Turbulent Flow ◽  
Turbulent Flows ◽  
Channel Flow ◽  
Gas Turbines ◽  
Particle Deposition ◽  
Numerical Study ◽  
Turbulent Channel Flow ◽  
Brownian Diffusion ◽  
Small Particles ◽  
Two Fluid

This paper deals with particle deposition onto solid walls from turbulent flows. The aim of the study is to model particle deposition in industrial flows, such as the one in gas turbines. The numerical study has been carried out with a two fluid approach. The possible contribution to the deposition from Brownian diffusion, turbulent diffusion and shear-induced lift force are considered in the study. Three types of turbulent two-phase flows have been studied: turbulent channel flow, turbulent flow in a bent duct and turbulent flow in a turbine blade cascade. In the turbulent channel flow case, the numerical results from a two-dimensional code show good agreement with numerical and experimental results from other resources. Deposition problem in a bent duct flow is introduced to study the effect of curvature. Finally, the deposition of small particles on a cascade of turbine blades is simulated. The results show that the current two fluid models are capable of predicting particle deposition rates in complex industrial flows.

Brownian particle deposition in a directly simulated turbulent channel flow

1993 ◽  
Vol 5 (6) ◽  
pp. 1427-1432 ◽  
Author(s):  
Hadj Ounis ◽  
Goodarz Ahmadi ◽  
John B. McLaughlin
Keyword(s):  
Channel Flow ◽  
Particle Deposition ◽  
Brownian Particle ◽  
Turbulent Channel Flow

Large Eddy Simulation of Particle Deposition in a Turbulent Channel Flow

2008 ◽  
Author(s):  
Mohammad Rahnama ◽  
Mazyar Salmanzadeh ◽  
Goodarz Ahmadi
Keyword(s):  
Channel Flow ◽  
Deposition Rate ◽  
Particle Deposition ◽  
Fluid Velocity ◽  
Turbulent Channel Flow ◽  
Continuous Phase ◽  
Reynolds Stresses ◽  
Eddy Simulation ◽  
Large Eddy ◽  
Subgrid Scales

Particle transport and deposition in a turbulent channel flow simulated by the Large Eddy simulations (LES) were studied. Particular attention was paid to the effect of subgrid scales (SGS) turbulence fluctuation on particle motion. Finite volume method was used for finding instantaneous filtered fluid velocity fields of LES of the continuous phase in the channel. Selective structure function model was used to account for the subgrid-scale Reynolds stresses. It was shown that the LES was capable of capturing the turbulence near wall coherent eddy structures. Particle motions were investigated using a Lagrangian particle tracking approach with inclusion of the Stokes drag, lift, Brownian and gravity forces. Effects of SGS of turbulence fluctuations on deposition rate of different size particles were studied. It was shown that the inclusion of the SGS turbulence fluctuations improves the model predictions for particle deposition rate especially for small particles.

Quantification of Particle and Fluid Scales in Particle-Laden Turbulent Channel Flow

2006 ◽  
Author(s):  
Cristian Marchioli ◽  
Maurizio Picciotto ◽  
Alfredo Soldati
Keyword(s):  
Channel Flow ◽  
Time Scale ◽  
Particle Deposition ◽  
Particle Concentration ◽  
Turbulent Channel Flow ◽  
Inertial Particles ◽  
Lagrangian Particle Tracking ◽  
Lagrangian Particle ◽  
Engineering Models ◽  
The Relationship

In this work, we study the dispersion of inertial particles in fully-developed turbulent channel flow to evaluate the relationship between particle and fluid time scales, and to identify suitable scales for parametrization of near-wall particle behavior. Direct Numerical Simulation (DNS) and Lagrangian particle tracking are used to build a complete and homogeneous dataset which covers a large target parameter space and includes statistics of particle velocity and particle concentration at steady state. Our results show that the Lagrangian integral time scale of the fluid is adequate to characterize particle wall deposition and that such fluid time scale will be different when sampled at the position of either fluid particles or inertial particles. Differences become particularly evident in the range 5 < St < 25. These observations can be crucial to improve the accuracy of engineering models for particle deposition.

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