On the effect of turbulent intensity towards the accuracy of the zero-equation turbulence model for indoor airflow application

2011 ◽  
Vol 46 (1) ◽  
pp. 82-88 ◽  
Author(s):  
K.C. Ng ◽  
M.A. Abdul Aziz ◽  
E.Y.K. Ng
Keyword(s):  
Turbulence Model ◽  
Turbulent Intensity ◽  
Indoor Airflow

A two-layer turbulence model for simulating indoor airflow

2001 ◽  
Vol 33 (6) ◽  
pp. 613-625 ◽  
Author(s):  
Weiran Xu ◽  
Qingyan Chen
Keyword(s):  
Turbulence Model ◽  
Indoor Airflow

A two-layer turbulence model for simulating indoor airflow

2001 ◽  
Vol 33 (6) ◽  
pp. 627-639 ◽  
Author(s):  
Weiran Xu ◽  
Qingyan Chen
Keyword(s):  
Turbulence Model ◽  
Indoor Airflow

Numerical Simulation of a Semi-Confined Slot Turbulent Impinging Jet

2011 ◽  
Vol 268-270 ◽  
pp. 345-350
Author(s):  
Ming Bo Wang ◽  
Rui He Wang ◽  
Xian Yong Liu
Keyword(s):  
Boundary Condition ◽  
Reynolds Number ◽  
Turbulence Model ◽  
Constant Velocity ◽  
Turbulent Intensity ◽  
Two Dimensional ◽  
Confined Space ◽  
Wall Function ◽  
Plate Spacing ◽  
Better Than

A Realizable k-ε turbulence model in conjunction with a standard wall function has been applied to the prediction of a fully-developed two-dimensional jet impinging within a semi-confined space. A single geometry with a Reynolds number of 10,000 and a nozzle –to-plate spacing of eight diameters has been considered at different inlet boundary conditions. The numerical results, including the time-averaged velocities and the turbulent intensity, have been compared with the experimental data reported by Yoshida (ref 5). It is found that the trends in the axial velocity, the radial velocity and the turbulent intensity are fairly predicted. The fully-developed boundary condition is generally better than the constant velocity boundary condition. The differences between the numerical and experimental results can be attributed to the turbulence model and the treatment of the low Reynolds number zone near the wall.

Refinement of a 0D Turbulence Model to Predict Tumble and Turbulent Intensity in SI Engines. Part I: 3D Analyses

2018 ◽  
Author(s):  
Fabio Bozza ◽  
Vincenzo De Bellis ◽  
Fabio Berni ◽  
Alessandro D'Adamo ◽  
Luigi Maresca
Keyword(s):  
Turbulence Model ◽  
Turbulent Intensity ◽  
Si Engines
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