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    Rapid Lift-to-Drag Ratio Prediction for NACA Four-Digit Airfoils Using a Deep Neural Network

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    JAEEEZ.ASENG-6258.pdf (2.652Mb)
    Date
    2026
    Author
    Tekin, Abdurrahman
    Xiao, Tianhang
    Yu, Xiongqing
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    Abstract
    AbstractAirfoil optimization is crucial for enhancing aerodynamic performance and efficiency in aerospace engineering because accurate and rapid predictions of the lift-to-drag ratio (CL/CD) directly influence design decisions. However, traditional methods are ...
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    http://yetl.yabesh.ir/yetl1/handle/yetl/4314145
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