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An Advanced Usage of Meanline Loss Systems for Axial Turbine Design Optimisation

[+] Author Affiliations
Ivan Zhdanov, Stephan Staudacher

University of Stuttgart, Stuttgart, Germany

Sergey Falaleev

Samara State Aerospace University, Samara, Russia

Paper No. GT2013-94323, pp. V06AT36A010; 10 pages
  • ASME Turbo Expo 2013: Turbine Technical Conference and Exposition
  • Volume 6A: Turbomachinery
  • San Antonio, Texas, USA, June 3–7, 2013
  • Conference Sponsors: International Gas Turbine Institute
  • ISBN: 978-0-7918-5522-5
  • Copyright © 2013 by ASME


A comprehensive axial turbine framework model has been developed at the Institute of Aircraft Propulsion Systems, University of Stuttgart. It discovers the principles of a meanline optimisation and shows its advantages for quick prediction of optimal meanline parameters considering manufacturing, mechanical and aerodynamic requirements. The framework model can incorporate different loss correlations and compare their results for one and the same multi-dimensional design parameter space. A special attention is paid to the influence of loss correlations on optimal values of meanline parameters. It is shown that, although all loss correlation has their own global optimum of turbine performance in the multi-dimensional design parameter space, they are going to coincide if the requirements addressed to a turbine are considered and the turbine design constraints, e.g. a specified rotational speed, inlet diameter and etc., are applied. Thus, the more constraints in the design parameter space exist, the lower the impact of a loss correlation on optimal values of meanline parameters.

Copyright © 2013 by ASME



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