Numerical Predictions of Channel Flows with Fluid Injection Using Reynolds-Stress Model

2002 ◽  
Vol 18 (2) ◽  
pp. 295-303 ◽  
Author(s):  
Bruno Chaouat
Keyword(s):  
Reynolds Stress ◽  
Reynolds Stress Model ◽  
Channel Flows ◽  
Fluid Injection ◽  
Stress Model ◽  
Numerical Predictions

Simulations of Channel Flows With Effects of Spanwise Rotation or Wall Injection Using a Reynolds Stress Model

2000 ◽  
Vol 123 (1) ◽  
pp. 2-10 ◽  
Author(s):  
Bruno Chaouat
Keyword(s):  
Experimental Data ◽  
Reynolds Stress ◽  
Reynolds Stress Model ◽  
Channel Flows ◽  
Fluid Injection ◽  
Turbulent Regime ◽  
Stress Model ◽  
Mean Velocity ◽  
Wall Injection ◽  
Spanwise Rotation

Simulations of channel flows with effects of spanwise rotation and wall injection are performed using a Reynolds stress model. In this work, the turbulent model is extended for compressible flows and modified for rotation and permeable walls with fluid injection. Comparisons with direct numerical simulations or experimental data are discussed in detail for each simulation. For rotating channel flows, the second-order turbulence model yields an asymmetric mean velocity profile as well as turbulent stresses quite close to DNS data. Effects of spanwise rotation near the cyclonic and anticyclonic walls are well observed. For the channel flow with fluid injection through a porous wall, different flow developments from laminar to turbulent regime are reproduced. The Reynolds stress model predicts the mean velocity profiles, the transition process and the turbulent stresses in good agreement with the experimental data. Effects of turbulence in the injected fluid are also investigated.

scholarly journals Anisotropy Invariant Reynolds Stress Model and Its Application to Fully Developed Channel Flows

PAMM ◽  
2005 ◽  
Vol 5 (1) ◽  
pp. 537-538
Author(s):  
M. Breuer ◽  
S. Ray ◽  
V. Kumar ◽  
J. Jovanović ◽  
F. Durst
Keyword(s):  
Reynolds Stress ◽  
Reynolds Stress Model ◽  
Channel Flows ◽  
Stress Model

Flow-Field Prediction in Submerged and Confined Jet Impingement Using the Reynolds Stress Model

1999 ◽  
Vol 121 (4) ◽  
pp. 255-262 ◽  
Author(s):  
G. K. Morris ◽  
S. V. Garimella ◽  
J. A. Fitzgerald
Keyword(s):  
Reynolds Number ◽  
Flow Field ◽  
Reynolds Stress ◽  
Reynolds Numbers ◽  
Reynolds Stress Model ◽  
Nozzle Diameter ◽  
Stress Model ◽  
Target Plate ◽  
Plate Spacing ◽  
Numerical Predictions

The flow field of a normally impinging, axisymmetric, confined and submerged liquid jet is predicted using the Reynolds Stress Model in the commercial finite-volume code FLUENT. The results are compared with experimental measurements and flow visualizations and are used to describe the position of the recirculating toroid in the outflow region which is characteristic of the confined flow field. Changes in the features of the recirculation pattern due to changes in Reynolds number, nozzle diameter, and nozzle-to-target plate spacing are documented. Results are presented for nozzle diameters of 3.18 and 6.35 mm, at jet Reynolds numbers in the range of 2000 to 23,000, and nozzle-to-target plate spacings of 2, 3, and 4 jet diameters. Up to three interacting vortical structures are predicted in the confinement region at the smaller Reynolds numbers. The center of the primary recirculation pattern moves away from the centerline of the jet with an increase in Reynolds number, nozzle diameter, and nozzle-to-target plate spacing. The computed flow patterns were found to be in very good qualitative agreement with experiments. The radial location of the center of the primary toroid was predicted to within ±40 percent and ±3 percent of the experimental position for Re = 2000–4000 and Re = 8500–23000, respectively. The magnitude of the centerline velocity of the jet after the nozzle exit was computed with an average error of 6 percent. Reasons for the differences between the numerical predictions at Re = 2000–4000 and experiments are discussed. Predictions of the flow field using the standard high-Reynolds number k-ε and renormalization group theory (RNG) k-ε models are shown to be inferior to Reynolds stress model predictions.

Prediction of strongly curved turbulent duct flows with Reynolds stress model

AIAA Journal ◽  
1997 ◽  
Vol 35 ◽  
pp. 91-98
Author(s):  
Jiang Luo ◽  
Budugur Lakshminarayana
Keyword(s):  
Reynolds Stress ◽  
Reynolds Stress Model ◽  
Stress Model
Sign in / Sign up

Export Citation Format

Share Document