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Predictions of Temperature Redistribution in a Turning Duct and in High-Pressure Turbines

[+] Author Affiliations
T. J. Praisner, J. W. Magowan

Pratt & Whitney, East Hartford, CT

J. P. Clark

Air Force Research Laboratory, Wright-Patterson AFB, OH

Paper No. GT2003-38317, pp. 193-201; 9 pages
  • ASME Turbo Expo 2003, collocated with the 2003 International Joint Power Generation Conference
  • Volume 5: Turbo Expo 2003, Parts A and B
  • Atlanta, Georgia, USA, June 16–19, 2003
  • Conference Sponsors: International Gas Turbine Institute
  • ISBN: 0-7918-3688-6 | eISBN: 0-7918-3671-1
  • Copyright © 2003 by ASME


An ability to predict the redistribution of total enthalpy in a turbine is critical to assess heat loads on turbine surfaces and hence, to estimate component life. Here, a finite-volume, Reynolds-Averaged Navier Stokes (RANS) code was used to predict the redistribution of temperature in the 90-degree turning duct of Eckert and Irvine (1957). The duct was modeled as inviscid, laminar, and turbulent flow with both an algebraic and a two-equation model. The algebraic model was that of Baldwin and Lomax (1978), and the two-equation model was the k-ω formulation of Wilcox (1998). The results indicate that the average exit profile from the duct can be accurately modeled by all types of modeling considered, however, the two-dimensional exit distributions of temperature from the duct were most closely matched by the two-equation model. Subsequently, the lessons learned in the turning-duct study were applied to predict the redistribution of enthalpy in both single-stage and two-stage high-pressure turbines. The temperature redistribution within the two turbines considered was modeled with: a one-dimensional empirical code, an inviscid 3D solver as both steady and time-accurate k-ω RANS. The cooling flows were modeled with distributed and local mass-injection. The most consistent accuracy for both turbines was realized with the time-accurate, local mass-injection film-cooling k-ω simulations. The steady k-ω simulations with local mass-injection film cooling predicted normalized temperature profiles nearly as well as the time-accurate simulations.

Copyright © 2003 by ASME



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