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Table 10 Comparison of aerodynamic performance obtained from the CNN prediction and the CFD validation for the baseline and optimized wings (optimization case 1)

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

0.00921

0.00405

2.2741

-0.00937

Optimized wing

0.01186

0.00294

4.0315

-0.01048

Δ

+28.77%

-27.41%

+77.28%

+11.85%

CFD validation

Baseline wing

0.00952

0.00389

2.4442

-0.00897

Optimized wing

0.01068

0.00377

2.8335

-0.00960

Δ

+12.18%

-3.08%

+15.93%

+7.02%