Ayse G. Gungor
Istanbul Technical University
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Featured researches published by Ayse G. Gungor.
Journal of Turbomachinery-transactions of The Asme | 2013
Mark P. Simens; Ayse G. Gungor
Roughness effects on a laminar separation bubble, formed on a flat plate boundary layer due to a strong adverse pressure gradient similar to those encountered on the suction side of typical low-pressure turbine blades, are studied by direct numerical simulation. The discrete roughness elements that have a uniform height in the spanwise direction and ones that have a height that is a function of the spanwise coordinate are modeled using the immersed boundary method. The location and the size of the roughness element are varied in order to study the effects on boundary development and turbulent transition; it was found that the size of the separation bubble can be controlled by positioning the roughness element away from the separation bubble. Roughnesses that have a height that varies in a periodic manner in the spanwise direction have a great influence on the separation bubble. The separation point is moved downstream due to the accelerated flow in the openings in the roughness element, which also prevents the formation of the recirculation region after the roughness element. The reattachment point is moved upstream, while the height of the separation bubble is reduced. These numerical experiments indicate that laminar separation and turbulent transition are mainly affected by the type, height, and location of the roughness element. Finally, a comparison between the individual influence of wakes and roughness on the separation is made. It is found that the transition of the separated boundary layer with wakes occurs at almost the same streamwise location as that induced by the three-dimensional roughness element. [DOI: 10.1115/1.4025200]
Journal of Physics: Conference Series | 2014
Ayse G. Gungor; Yvan Maciel; Mark P. Simens; Julio Soria
A strongly decelerated turbulent boundary layer is investigated by direct numerical simulation. Transition to turbulence is triggered by a trip wire which is modelled using the immersed boundary method. The Reynolds number close to the exit of the numerical domain is Reθ = 2175 and the shape-factor is H = 2.5. The analysis focuses on the latter portion of the flow with large velocity defect, at higher Reynolds numbers and further from the transition region. Mean velocity profiles do not reveal a logarithmic law. Departure from the law of the wall occurs throughout the inner region. The production and Reynolds stress peaks move to roughly the middle of the boundary layer. The profiles of the uv correlation factor reveal that u and v become less correlated throughout the boundary layer as the mean velocity defect increases, especially near the wall. The structure parameter is low in the present flow, similar to equilibrium APG flows and mixing layers, and decreases as the mean velocity defect increases. The statistics of the upper half of the boundary layer resemble those of a mixing layer. Furthermore, various two-dimensional two-point correlation maps are obtained. The Cvv and Cww correlations obtained far from the transition region at Reθ = 2175 and at y/δ = 0.4 coincide with results obtained for a ZPG boundary layer, implying that the structure of the v,w fluctuations is the same as in ZPG. However, Cuu indicates that the structure of the u fluctuation in this APG boundary layer is almost twice as short as the ZPG one. The APG structures are also less correlated with the flow at the wall. The near-wall structures are different from ZPG flow ones in that streaks are much shorter or absent.
Journal of Turbomachinery-transactions of The Asme | 2012
Ayse G. Gungor; Mark P. Simens; Javier Jiménez
A wake-perturbed flat plate boundary layer with a streamwise pressure distribution similar to those encountered on the suction side of typical low-pressure turbine blades is investigated by direct numerical simulation. The laminar boundary layer separates due to a strong adverse pressure gradient induced by suction along the upper simulation boundary, transitions, and reattaches while still subject to the adverse pressure gradient. Various simulations are performed with different wake passing frequencies, corresponding to the Strouhal number 0.0043< fhb=DU <0.0496 and wake profiles. The wake profile is changed by varying its maximum velocity defect and its symmetry. Results indicate that the separation and reattachment points, as well as the subsequent boundary layer development, are mainly affected by the frequency, but that the wake shape and intensity have little effect, and that the forcing is effective as long as the wake-passing period is shorter than the bubble-regeneration time. Moreover, the effect of the different frequencies can be predicted from a single experiment in which the separation bubble is allowed to reform after having been reduced by wake perturbations. The stability characteristics of the mean flows resulting from the forcing at different frequencies are evaluated in terms of local linear stability analysis based on the Orr-Sommerfeld equation. [DOI: 10.1115/1.4004882]
Journal of Fluid Mechanics | 2017
Vassili Kitsios; Atsushi Sekimoto; Callum Atkinson; Juan A. Sillero; Guillem Borrell; Ayse G. Gungor; Javier Jiménez; Julio Soria
The statistical properties are presented for the direct numerical simulation (DNS) of a self-similar adverse pressure gradient (APG) turbulent boundary layer (TBL) at the verge of separation. The APG TBL has a momentum thickness based Reynolds number range from
Archive | 2010
Ayse G. Gungor; Suresh Menon
Re_{\delta_2}=570
36th AIAA Fluid Dynamics Conference and Exhibit | 2006
Juan Orphee; Ayse G. Gungor; Martin Sanchez-Rocha; Suresh Menon
to
Journal of Physics: Conference Series | 2016
Mark P. Simens; Ayse G. Gungor; Yvan Maciel
13800
Bulletin of the American Physical Society | 2016
Ayse G. Gungor; Yvan Maciel; Mark P. Simens
, with a self-similar region from
ASME Turbo Expo 2016: Turbomachinery Technical Conference and Exposition | 2016
Mark P. Simens; Ayse G. Gungor
Re_{\delta_2} = 10000
Progress in Aerospace Sciences | 2010
Ayse G. Gungor
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