بررسي ميدان سرعت حول يك تركيب بال - كانارد با استفاده از روش هاي تجربي و شبكه ي عصبي

FLOW FIELD INVESTIGATION AROUND A WING CANARD BODY BY USEING EXPERIMENTAL METHODS AND NEURAL NETWORK

A series of experiments are conducted to study the ve­locity field around a wing-canard body that represents a highly maneuverable aircraft. All experiments were con­ducted in a subsonic wind tunnel under two different an­gles of atta.ek,Jmodel=15, 20 degrees, while the canard angle of attack varied between -10 to 10 degrees. The data shows that, at all the angles of attack mentioned before, the canard downwash passes over the main wing surface, which results in a reduction of the pressure over the wing surface. These phenomena delay the model stall angle of attack, hence, increasing the performance of the model. Furthermore, to reduce the experiments, a neural network system was used, which is capable of both prediction and extrapolation. The neural network data shows both canard and main wing vortices at vari­ous stations over the wing surface. As the cauard angle of attack increases, its corresponding vortices become stronger and cover a layer portion of the wing surface. As a result of this vortex system, the pressure over the wing surface drops considerably.