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Table 12 Comparison of aerodynamic performance obtained from the CNN prediction and the CFD validation for the baseline and optimized wings (optimization case 3)

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

0.01001

0.00258

3.8769

-0.00939

Δ

+8.65%

-36.30%

+70.48%

+0.21%

CFD validation

Baseline wing

0.00952

0.00389

2.4442

-0.00897

Optimized wing

0.00978

0.00370

2.6434

-0.00896

Δ

+ 2.73%

-4.88%

+8.15%

-0.11%