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 and 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) , pp. 149-163.

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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.

Item Type: Article
Schools: Schools > School of Computing, Science and Engineering > Salford Innovation Research Centre (SIRC)
Journal or Publication Title: Chinese Journal of Aeronautics
Publisher: Elsevier
ISSN: 1000-9361
Related URLs:
Depositing User: O Sugar-Gabor
Date Deposited: 08 Mar 2017 11:39
Last Modified: 12 Sep 2017 10:57
URI: http://usir.salford.ac.uk/id/eprint/41502

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