Optimization and design of an aircraft's morphing wing-tip demonstrator for drag reduction at low speeds, Part II - Experimental validation using Infra-Red transition measurement from Wind Tunnel tests

Koreanschi, A; Sugar-Gabor, O; Acotto, J; Brianchon, G; Portier, G; Botez, RM; Mamou, M; Mebarki, Y

Abstract

In the present paper, an ‘in-house’ genetic algorithm was numerically and experimentally validated. The genetic algorithm was applied to an optimization problem for improving the aerodynamic performances of an aircraft wing tip through upper surface morphing. The optimization was performed for 16 flight cases expressed in terms of various combinations of speeds, angles of attack and aileron deflections. The displacements resulted from the optimization were used during the wind tunnel tests of the wing tip demonstrator for the actuators control to change the upper surface shape of the wing. The results of the optimization of the flow behavior for the airfoil morphing upper-surface problem were validated with wind tunnel experimental transition results obtained with infra-red Thermography on the wing-tip demonstrator. The validation proved that the 2D numerical optimization using the ‘in-house’ genetic algorithm was an appropriate tool in improving various aspects of a wing’s aerodynamic performances.

Citation

Koreanschi, A., Sugar-Gabor, O., Acotto, J., Brianchon, G., Portier, G., Botez, R., …Mebarki, Y. (2017). Optimization and design of an aircraft's morphing wing-tip demonstrator for drag reduction at low speeds, Part II - Experimental validation using Infra-Red transition measurement from Wind Tunnel tests. Chinese Journal of Aeronautics, 30(1), 164-174. https://doi.org/10.1016/j.cja.2016.12.018

• Journal Article Type: Article
• Acceptance Date: Jun 21, 2016
• Online Publication Date: Jan 3, 2017
• Publication Date: Feb 1, 2017
• Deposit Date: Mar 8, 2017
• Publicly Available Date: Mar 8, 2017
• Journal: Chinese Journal of Aeronautics
• Print ISSN: 1000-9361
• Publisher: Elsevier
• Volume: 30
• Issue: 1
• Pages: 164-174
• DOI: https://doi.org/10.1016/j.cja.2016.12.018
• Publisher URL: http://dx.doi.org/10.1016/j.cja.2016.12.018
• Related Public URLs: http://www.sciencedirect.com/science/journal/10009361