The aerodynamic performances of many devices are influenced by vortical flow structures. Methods to identify and track these features are necessary for characterizing the flowfield, and robust detection methods could be exploited as an aerodynamic flow control sensor. This paper details a new approach to detect and track near-wall vortices by applying crease detection methods to locate their signatures in a wall static pressure field. The method is used to locate vortex signatures in pressure-sensitive paint measurements on the upper surface of a delta wing and to track the movement of a vortex downstream of a micro vortex generator using a grid of discrete pressure taps. The latter case demonstrates that the position of a near-wall vortex could be tracked experimentally using a coarse wall pressure distribution.
Vortex Signature Identification in Surface Pressure Distributions Using Crease Detection Techniques
AIAA journal ; 55 , 6
2017
Aufsatz (Zeitschrift)
Englisch
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