Statistical Vortex-Generator-Jet Model for Turbulent Flow Separation Control
2013 (English)In: AIAA Journal, ISSN 0001-1452, E-ISSN 1533-385X, Vol. 51, no 5, 1119-1129 p.Article in journal (Refereed) Published
This contribution describes the development and evaluation of a new statistical modeling approach for active vortex generator jets. Previous experiments from the Technische Universitat Braunschweig and their subsequent evaluation by the present authors showed that the induced flowfield can be reasonably well represented by two-dimensional Lamb-Oseen vortices. Based on that, an analytical expression for the Lamb-Oseen-vortex-model maximum circulation Gamma(max) was derived in terms of the freestream velocity U-infinity, the jet-to-freestream velocity ratio lambda, and the jet skew angle beta, as well as the actuator diameter Phi(VGJ). Based on the parameterized results, universal values for the Lamb-Oseen-vortex-model parameters at the actuator position were determined for the development of the statistical vortex-generator-jet model. The idea behind the statistical modeling approach is that the vortices are represented by their spanwise-averaged velocity correlations, or vortex stresses, that are added to the turbulence stresses in a Reynolds stress turbulence model. The spanwise-averaged vortex stresses are derived by computing the spanwise-averaged second-order statistics of the vortex flowfleld. These vortex-generator-jet model results were compared to the spanwise-averaged vortex stresses from experiments and from fully resolved computational fluid dynamics investigations, and reasonable qualitative as well as quantitative agreement was found.
Place, publisher, year, edition, pages
2013. Vol. 51, no 5, 1119-1129 p.
Boundary-Layer, Evolution, Vortices
IdentifiersURN: urn:nbn:se:kth:diva-94889DOI: 10.2514/1.J051987ISI: 000318260700009ScopusID: 2-s2.0-84878335974OAI: oai:DiVA.org:kth-94889DiVA: diva2:526334
QC 20130610. Updated from submitted to published.2012-05-112012-05-112013-06-10Bibliographically approved