• DocumentCode
    2891393
  • Title

    Use Fuzzy Neural Network to Model Gas Turbine Cooled Blades

  • Author

    Wang, Tong ; He, Pi-Lian ; Pashayev, A.

  • Author_Institution
    Comput. Sci. & Technol. Coll., Tianjin Univ.
  • fYear
    2006
  • fDate
    13-16 Aug. 2006
  • Firstpage
    1829
  • Lastpage
    1835
  • Abstract
    In this paper, the mathematical models and high effective combination numerical methods for calculating of stationary and dynamic temperature field of a profile part of a blade with convective cooling are put forward. The theoretical substantiation of these methods is proved by appropriate theorems. For it, converging integral processes have been developed and the estimations of errors in the terms of Karnel continuity modules have been received. Boundary conditions of heat exchange are determined by the solution of the corresponding integral equations and empirical relationships. The reliability of designed methods is proved by calculation and experimental investigation heat and hydraulic characteristics of the gas turbine
  • Keywords
    aerospace engines; blades; convection; cooling; error analysis; estimation theory; fuzzy neural nets; gas turbines; integral equations; mechanical engineering computing; Karnel continuity module; boundary condition; convective cooling; dynamic temperature; error estimation; fuzzy neural network; gas turbine cooled blade; heat exchange; integral equation; mathematical model; numerical method; splines; stationary temperature; Blades; Boundary conditions; Conducting materials; Cooling; Cybernetics; Educational institutions; Fuzzy neural networks; Machine learning; Mathematical model; Shape; Temperature dependence; Temperature distribution; Turbines; Boundary temperature calculation; gas turbine blade; neural networks; splines;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2006 International Conference on
  • Conference_Location
    Dalian, China
  • Print_ISBN
    1-4244-0061-9
  • Type

    conf

  • DOI
    10.1109/ICMLC.2006.259045
  • Filename
    4028362