16.08.2013 Views

The computation of turbulent natural convection flows - Turbulence ...

The computation of turbulent natural convection flows - Turbulence ...

The computation of turbulent natural convection flows - Turbulence ...

SHOW MORE
SHOW LESS

Create successful ePaper yourself

Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.

165<br />

moves down from the top <strong>of</strong> the cold wall with high velocity and decelerates<br />

as it approaches the bottom <strong>of</strong> the cavity. All <strong>of</strong> the near-wall treatments pro-<br />

duce results which are broadly in agreement with the experimental data. One<br />

inconsistency exists at the top <strong>of</strong> the cold wall where the turbulence models<br />

predict higher velocities compared with the experiment. Both numerical and<br />

experimental data show higher velocity at the bottom <strong>of</strong> the hot wall. <strong>The</strong> hy-<br />

drodynamic flow pattern at the bottom <strong>of</strong> the hot wall is similar to that at the<br />

top <strong>of</strong> the cold wall. <strong>The</strong>refore some portion <strong>of</strong> this inconsistency might be<br />

from the fact that at those regions the flow involves impingement and change<br />

<strong>of</strong> direction, the flow is more complicated at the two ends than at the other<br />

regions. <strong>The</strong> models employed therefore, possibly due to the use <strong>of</strong> the ef-<br />

fective viscosity approximation, are unable to fully reproduce the measured<br />

mean flow development at the two ends. Moreover, AWF predicts higher ve-<br />

locity compared with the other models. As it shown, at the bottom <strong>of</strong> hot wall,<br />

AWF predicted higher velocity which continued to the top <strong>of</strong> the hot wall. This<br />

may be caused due to higher turbulence resulted fromk-ε-AWF adjacent to the<br />

walls (Figure 6.32).<br />

In Figure 6.32, the rms velocity fluctuations resulting from the k-ε using<br />

LRN, AWF and SWF are compared for the vertical and inclined cavities. Mea-<br />

surements for the inclined case are also included. <strong>The</strong> experimental measure-<br />

ments reveal that the <strong>turbulent</strong> stresses are higher at the positions near the<br />

mid-height <strong>of</strong> the tall cavity compared to those near to the top and bottom <strong>of</strong><br />

the cavity. <strong>Turbulence</strong> is generated due to the mean velocity gradients (mean<br />

flow shear) and buoyancy (mean temperature gradients). As can be seen in<br />

the mean velocity pr<strong>of</strong>iles <strong>of</strong> Figure 6.31, the mean flow shear is stronger at<br />

the middle <strong>of</strong> the cavity. <strong>The</strong>se comparisons show that all turbulence models<br />

significantly under-predict the near-wall turbulence levels by as much as 20<br />

percent in the core region. On a more positive note, all predictions reproduce<br />

the severe reduction in turbulence levels near the end walls.<br />

Generally the predictions from the LRN, AWF and SWF approaches are<br />

quite similar. This is because <strong>of</strong> the use <strong>of</strong> the eddy-viscosity approximation in<br />

all three sets <strong>of</strong> <strong>computation</strong>s, which is a rather simple relation and is not able

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!