Table 6 \({C}_{D}\) and \({C}_{L}\) with \(n=1\) for various \(Re.\)

From: AI-based predictive approach via FFB propagation in a driven-cavity of Ostwald de-Waele fluid using CFD-ANN and Levenberg–Marquardt

Re

\({C}_{D}\)

\({C}_{L}\)

1

40.700034

− 3.421546E0

5

10.490174

− 1.382850E0

10

6.804359

− 6.483126E−1

15

5.476226

− 4.294371E−1

20

4.762300

− 3.228011E−1

25

4.306980

− 2.567965E−1

30

3.987982

− 2.098634E−1

35

3.751123

− 1.732532E−1

40

3.568411

− 1.427551E−1

45

3.423812

− 1.161108E−1

50

3.307426

− 9.202198E−2