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

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DOI	Resolve DOI: https://doi.org/10.1016/j.cja.2016.12.013
Author	Search for: Koreanschi, Andreea; Search for: Sugar Gabor, Oliviu; Search for: Acotto, Joran; Search for: Brianchon, Guillaume; Search for: Portier, Gregoire; Search for: Botez, Ruxandra Mihaela; Search for: Mamou, Mahmoud¹; Search for: Mebarki, Youssef¹
Name affiliation	National Research Council of Canada. Aerospace
Format	Text, Article
Subject	artificial bee colony; airfoil optimization; genetic algorithm; morphing wing; optimization
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.
Publication date	2017-01-04
Publisher	Elsevier
In	Chinese Journal of Aeronautics 30, no. 1: 149–163.
Language	English
Peer reviewed	Yes
NPARC number	23001664
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Record identifier	e2f44b8b-4ccc-4752-90d0-0470cb3b3ee1
Record created	2017-03-14
Record modified	2020-05-30

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Date modified:: 2023-03-29