Table 4 \({C}_{D}\) and \({C}_{L}\) coefficient with Re = 20 for different \(n.\)

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

\({\text{n}}\)

\({C}_{D}\)

\({C}_{L}\)

\(0.3\)

\(3.032584977\)

− 5.9575782E−2

\(0.5\)

\(3.484985563\)

− 1.48658415E−1

\(0.7\)

\(3.991902453\)

− \(2.20603492\)E−1

\(0.9\)

\(4.508078988\)

− \(2.88375439\)E−1

\(1.0\)

\(4.762300406\)

− \(3.22801126\)E−1

\(1.1\)

\(5.012757972\)

− \(3.58097104\)E−1

\(1.3\)

\(5.500213963\)

− \(4.32297397\)E−1

\(1.5\)

\(5.965779351\)

− \(5.12749321\)E−1

\(1.7\)

\(6.422493958\)

− \(5.99570335\)E−1