A characterization of unsteady effects for transonic turbine airfoil limit loading

Author:

Owen Spencer12ORCID,Taremi Farzad3,Uddin Mesbah1ORCID

Affiliation:

1. Department of Mechanical Engineering, The University of North Carolina at Charlotte, Charlotte, NC, USA

2. Aero/Thermal Design Engineer - Combustion, Siemens Energy Inc., Orlando, FL, USA

3. Principle Engineer - Turbine Aero Lead, Siemens Energy Inc., Orlando, FL, USA

Abstract

To better understand the effect of vortex shedding on the nature of the trailing edge shock system during airfoil limit loading a computational fluid dynamic investigation was performed for a transonic turbine airfoil at sublimit, limit and supercritical conditions. Four modeling strategies were employed: steady state RANS, unsteady RANS, DDES, and turbulence model free. The influence of transient modeling approaches on the predicted mass-flow averaged total pressure loss coefficient, mass-flow averaged flow angles, and on the limit loading pressure ratio were found to be insignificant with the exception of the URANS model during critical loading. It was found that the URANS modeling approach failed to predict the transition from near trailing edge dominated vortex formation to base pressure vortex formation resulting in a drastic rise in predicted total pressure loss. Surface isentropic Mach distributions were predicted similarly for all modeling strategies, with the exception of the trailing edge base pressure region and points of shock impingement along the suction surface. A detailed review of the boundary layer states at the trailing edge was performed. It was found that all of the modeling approaches predicted laminar boundary layer profiles along the pressure surface trailing edge and turbulent profiles along the suction surface. The predicted base pressure distributions were also reviewed, showing the base pressure to decrease with increasing pressure ratio. The unsteady simulation approaches consistently predicted lower average surface pressures than the steady state RANS simulations. Qualitative images of the numerical Schlieren contours were presented and reviewed showing large differences in the prediction of vortex shape, size, and subsequent shock influence.

Publisher

SAGE Publications

Subject

Mechanical Engineering,Energy Engineering and Power Technology

Reference23 articles.

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