Lift and drag prediction for symmetric NACA airfoils using tree based methods and transfer learning
Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering
Published online on February 12, 2026
Abstract
Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering, Volume 240, Issue 9, Page 1290-1307, July 2026.
Aerodynamic lift and drag coefficient prediction is crucial for designing aerospace vehicles, as it impacts the efficiency and performance of airfoils across various flow conditions, geometries, and angles of attack. This study evaluates five ensemble ...
Aerodynamic lift and drag coefficient prediction is crucial for designing aerospace vehicles, as it impacts the efficiency and performance of airfoils across various flow conditions, geometries, and angles of attack. This study evaluates five ensemble ...