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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DOIResolve DOI: http://doi.org/10.1016/j.cja.2016.12.013
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TypeArticle
Journal titleChinese Journal of Aeronautics
ISSN1000-9361
Volume30
Issue1
Pages149163
Subjectartificial bee colony; airfoil optimization; genetic algorithm; morphing wing; optimization
AbstractIn 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
PublisherElsevier
LanguageEnglish
AffiliationAerospace; National Research Council Canada
Peer reviewedYes
NPARC number23001664
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Record identifiere2f44b8b-4ccc-4752-90d0-0470cb3b3ee1
Record created2017-03-14
Record modified2017-03-14
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