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

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Inclined Cavity-2D simulations 164<br />

Nu<br />

20<br />

15<br />

10<br />

5<br />

Cold Wall<br />

0<br />

0 0.2 0.4 0.6 0.8 1<br />

Y<br />

EXP<br />

k-ε-AWF<br />

Figure 6.30 – Nusselt distribution along the cold wall <strong>of</strong>60 ◦ stable inclined tall<br />

cavity resulting fromk-ε-AWF.<br />

V/V 0<br />

V/V 0<br />

0.4<br />

0.2<br />

0<br />

-0.2<br />

-0.4<br />

Y=0.95<br />

EXP<br />

LRN<br />

AWF<br />

SWF<br />

-0.6<br />

0 0.2 0.4 0.6 0.8 1<br />

0.6<br />

0.4<br />

0.2<br />

0<br />

-0.2<br />

-0.4<br />

-0.6<br />

X<br />

Y=0.5<br />

EXP<br />

LRN<br />

AWF<br />

SWF<br />

0 0.2 0.4 0.6 0.8 1<br />

X<br />

V/V 0<br />

V/V 0<br />

0.6<br />

0.4<br />

0.2<br />

0<br />

-0.2<br />

-0.4<br />

-0.6<br />

0.8<br />

0.6<br />

0.4<br />

0.2<br />

0<br />

-0.2<br />

-0.4<br />

Y=0.7<br />

EXP<br />

LRN<br />

AWF<br />

SWF<br />

0 0.2 0.4 0.6 0.8 1<br />

X<br />

Y=0.1<br />

0 0.2 0.4 0.6 0.8 1<br />

X<br />

EXP<br />

LRN<br />

AWF<br />

SWF<br />

Figure 6.31 – Mean velocity distributions within a60 ◦ stable inclined tall cavity<br />

resulting from k-ε using LRN, AWF and SWF.<br />

Figure 6.31 shows mean velocities parallel to the hot and cold walls result-<br />

ing from the k-ε model, using LRN, AWF and SWF compared with the corre-<br />

sponding experimental measurements. <strong>The</strong> data shows that the fluid moves<br />

up parallel to the hot wall from the bottom <strong>of</strong> the hot wall with high veloc-<br />

ity and decelerates as it approaches the top <strong>of</strong> the hot wall. <strong>The</strong>n the fluid

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