A genetic algorithm optimization method for a morphing wing tip demonstrator validated using infra red experimental data

DOIResolve DOI: http://doi.org/10.2514/6.2016-4037
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Proceedings title34th AIAA Applied Aerodynamics Conference
Conference34th AIAA Applied Aerodynamics Conference, June 13-17, 2016, Washington, D.C.
AbstractIn the present paper an ‘in-house’ genetic algorithm is described and applied to an optimization problem of improving the aerodynamic performances of an airfoil through upper surface morphing. The results of the optimization of the flow behavior for the airfoil morphing upper-surface problem are validated with experimental transition results obtained with Infra-red Thermography for the CRIAQ MDO 505 wing tip demonstrator, proving that the 2D numerical optimization using the ‘in-house’ genetic algorithm is an important tool in improving various aspects of a wing’s performances
Publication date
PublisherAmerican Institute of Aeronautics and Astronautics
PlaceReston, Virginia
AffiliationAerospace; National Research Council Canada
Peer reviewedYes
NPARC number23000695
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Record identifierdde71a65-95c5-4a04-af2f-7d2b47a44a6e
Record created2016-08-24
Record modified2016-08-24
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