Please use this identifier to cite or link to this item:
Title: Supersonic boundary-layer transition prediction under the effect of compressibility using a correlation-based model
Authors: Kaynak, Ünver
Keywords: correlation-based transition modelling
transition onset location
transition length
transition point momentum thickness
compressibility correlation
linear stability theory
Reynolds-averaged Navier-Stokes
direct/large eddy simulation
shear stress transport
k-omega SST transition/turbulence model
Issue Date: 2012
Publisher: Sage Publications Ltd
Abstract: The effect of compressibility on supersonic boundary layer transition is simulated by modifying a standard gamma-Re-theta t correlation-based transition model under two-dimensional (2D) approximation. First, the gamma-Re-theta t model's empirical correlations derived for low Mach numbers are validated against some well-known subsonic flat plate experiments. Second, the same empirical correlations are tested against a direct numerical simulation (DNS) dataset closely approximating a supersonic flat plate experiment at M = 2.25. Finally, the present empirical correlations are extended for supersonic speeds using a known compressibility correlation. For this, the free stream turbulence level is assumed to remain constant and the free stream velocity is increased up to a supersonic speed of Mach 2.7 using adiabatic wall conditions. Numerical results show that the modified gamma-Re-theta t transition model is capable of predicting the downstream movement of the transition onset location in good agreement with the linear theory, experiments, and DNS data up to Mach 2.25. The length of the transition region is observed to grow with higher Mach numbers, and destabilizing effect of compressibility after Mach 2.0 is also predicted, in a limited sense, under the 2D approximation.
ISSN: 0954-4100
Appears in Collections:Makine Mühendisliği Bölümü / Department of Mechanical Engineering
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

Show full item record

CORE Recommender


checked on Sep 24, 2022

Page view(s)

checked on Dec 26, 2022

Google ScholarTM



Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.