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Optimization and design of an aircraft’s morphing wing-tip demonstrator for drag reduction at low speed, Part I – Aerodynamic optimization using genetic, bee colony and gradient descent algorithms

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

Optimization and design of an aircraft’s morphing wing-tip demonstrator for drag reduction at low speed, Part I – Aerodynamic optimization using genetic, bee colony and gradient descent algorithms Thumbnail


Authors

A Koreanschi

J Acotto

G Brianchon

G Portier

RM Botez

M Mamou

Y Mebarki



Abstract

In this paper, an ‘in-house’ genetic algorithm is described and applied to an optimization problem for improving the aerodynamic performances of an aircraft wing tip through upper surface morphing. The algorithm’s performances were studied from the convergence point of view, in accordance with design conditions. The algorithm was compared to two other optimization methods, namely the artificial bee colony and a gradient method, for two optimization objectives, and the results of the optimizations with each of the three methods were plotted on response surfaces obtained with the Monte Carlo method, to show that they were situated in the global optimum region. The optimization results for 16 wind tunnel test cases and 2 objective functions were presented. The 16 cases used for the optimizations were included in the experimental test plan for the morphing wing-tip demonstrator, and the results obtained using the displacements given by the optimizations were evaluated.

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 speed, Part I – Aerodynamic optimization using genetic, bee colony and gradient descent algorithms. Chinese Journal of Aeronautics, 30(1), 149-163. https://doi.org/10.1016/j.cja.2016.12.013

Journal Article Type Article
Acceptance Date Jun 21, 2016
Online Publication Date Jan 4, 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 149-163
DOI https://doi.org/10.1016/j.cja.2016.12.013
Publisher URL http://dx.doi.org/10.1016/j.cja.2016.12.013
Related Public URLs http://www.sciencedirect.com/science/journal/10009361

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