The influence of high-speed SPIV data processing parameters on aircraft wing vortex wake assessment

dc.contributor.authorGarry, Kevin
dc.contributor.authorDi Pasquale, Davide
dc.contributor.authorPrince, Simon A.
dc.contributor.authorLawson, Nicholas J.
dc.date.accessioned2023-05-10T14:51:51Z
dc.date.available2023-05-10T14:51:51Z
dc.date.issued2018-09-14
dc.description© The Author.
dc.description.abstractThis paper uses Stereoscopic Particle Image Velocimetry (SPIV) data from the near wake of a detailed sub-scale ½ model of a representative transport aircraft wing with leading and trailing edge high lift systems and outboard aileron representation, to analyse the influence of data sampling period and frequency on the magnitude and position of the vortices resolved within the wake. The paper also evaluates the extent of vortex ‘wander’ at various stages of development within the near wake and offers guidance for optimum time-averaging strategy when investigating complex longitudinal vortex interaction studies in similar flow fields.en_UK
dc.identifier.citationGarry K, Di Pasquale D, Prince S, Lawson NJ. (2018) The influence of high-speed SPIV data processing parameters on aircraft wing vortex wake assessment. In: 31st Congress of the International Council of the Aeronautical Sciences 2018, 9-14 September 2018, Belo Horizonte, Brazilen_UK
dc.identifier.isbn978-3-932182-88-4
dc.identifier.urihttps://www.icas.org/ICAS_ARCHIVE/ICAS2018/data/preview/ICAS2018_0297.htm
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/19627
dc.language.isoenen_UK
dc.publisherICASen_UK
dc.rightsAttribution 4.0 International*
dc.rights© The Author.
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.titleThe influence of high-speed SPIV data processing parameters on aircraft wing vortex wake assessmenten_UK
dc.typeConference paperen_UK

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