Wing Optimisation for a Hypothetical Electric General Aviation Aircraft
Python-driven optimisation workflow selecting from 170+ NACA airfoils and refining a 3D wing in XFLR5, reaching a cruise glide ratio of 31.46.
Python-driven optimisation workflow selecting from 170+ NACA airfoils and refining a 3D wing in XFLR5, reaching a cruise glide ratio of 31.46.
Low-speed wind tunnel testing of 2D and 3D NACA 4412 configurations, validating experimental data against XFLR5 predictions and published literature.
Systematic study of how Reynolds number, Mach number, thickness, and camber drive airfoil performance, automated into a reusable Python evaluation workflow.