Reza Taghvi - Assistant Professor- Department of Mechanical Engineering, Iran University of science and Technology, Tehran
Iman Naghib - MSc student (corresponding author) - Department of Mechanical Engineering, Iran University of science and Technology, Tehran

Adding sharp-edged slender delta-wing-shaped strakes significantly modify flow pattern in vicinity of a wing through generation of vortex lift. The strakes improve the lift-to-drag ratio of the baseline wing favorably influence the near-field roll up of the wing trailing vortices. Based on limited flow-experimented results, effects of various configurations of the tip strakes on the wing aerodynamics are unknown. To overcome these issues, a multi-layer neural-network is available. Experimental data are used for the neural-network training. After training, the effects of movable tip strakes and wing aerodynamics can be predicted. Results can be used for developing the application of movable tip strakes.

Movable tip strakes – Aerodynamic coefficients – Neural networks