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    Data-Efficient Machine Learning for Airfoil Prediction via Targeted Data Augmentation

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    JAEEEZ.ASENG-6770.pdf (1.907Mb)
    Date
    2026
    Author
    Zhang, Yi
    Ross, James
    Thompson, Brianna
    Haehnel, Robert
    Allen, Luke
    Dettwiller, Ian
    Kubiak, Lisa
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    Abstract
    AbstractOptimizing airfoil geometry is critical for improving rotorcraft efficiency by directly influencing blade lift and drag forces. However, the inherent nonlinearity of fluid dynamics and the high dimensionality of design space make airfoil geometry ...Practical ApplicationsOptimizing airfoil shapes is critical for improving the performance and energy efficiency of rotorcraft, such as helicopters and drones. Traditional approaches rely on complex and time-consuming computational fluid dynamics ...
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    http://yetl.yabesh.ir/yetl1/handle/yetl/4314199
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