Numerical study of vortical structures around a wall-mounted cubic obstacle in channel flow

2004 ◽  
Vol 16 (7) ◽  
pp. 2382-2394 ◽  
Author(s):  
Jong-Yeon Hwang ◽  
Kyung-Soo Yang
Keyword(s):  
Channel Flow ◽  
Numerical Study ◽  
Vortical Structures

Autogeneration of near‐wall vortical structures in channel flow

1996 ◽  
Vol 8 (1) ◽  
pp. 288-290 ◽  
Author(s):  
Jigen Zhou ◽  
Ronald J. Adrian ◽  
S. Balachandar
Keyword(s):  
Channel Flow ◽  
Vortical Structures ◽  
Near Wall

scholarly journals Numerical study of a plane poiseuille channel flow of a dielectric liquid subjected to unipolar injection

2015 ◽  
Vol 22 (5) ◽  
pp. 2779-2785 ◽  
Author(s):  
Philippe Traore ◽  
Jian Wu ◽  
Christophe Louste ◽  
Pedro A. Vazquez ◽  
Alberto T. Perez
Keyword(s):  
Channel Flow ◽  
Numerical Study ◽  
Dielectric Liquid ◽  
Unipolar Injection

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.

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