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Table 11 Comparison of aerodynamic performance obtained from the CNN prediction and the CFD validation for the baseline and optimized wings (optimization case 2)

From: High-dimensional aerodynamic data modeling using a machine learning method based on a convolutional neural network

 

\({C}_{L}\)

\({C}_{D}\)

\({C}_{L}/{C}_{D}\)

\({C}_{M}\)

CNN prediction

Baseline wing

0.02157

0.00451

4.7826

-0.01832

Optimized wing

0.02374

0.00341

6.9523

-0.01925

Δ

+10.06%

-24.39%

+45.37%

+5.08%

CFD validation

Baseline wing

0.02221

0.00442

5.0238

-0.01825

Optimized wing

0.02292

0.00428

5.3551

-0.01852

Δ

+3.20%

-3.17%

+ 6.59%

+1.48%