Experimental Investigation of Turbine Endwall Heat Transfer. Volume I. Description of Experimental Hardware and Test Conditions.

Abstract

Two turbine cascades were tested at simulated engine conditions to provide a data base of endwall heat transfer data. This data base is intended to be sufficiently complete to provide verification data for refined computational models developed to predict first-stage stator endwall heat transfer in advanced turbine engines. A linear, two-dimensional cascade provided the bulk of the data. This cascade provided data to separate the effects of exit Mach number, exit Reynolds number, inlet boundary layer thickness, gas-to-wall temperature ratio, inlet pressure gradients, and inlet temperature gradients. In addition, adiabatic wall temperature and inlet turbulence intensity data are available for this linear cascade runs. A computerized data base was generated. This data base, with its associated software management system, provides the user with relatively easy access to the vast amount of data generated. A full annular, three-dimensional cascade was used to acquire data for identifying the radial pressure gradient effects. Tests in the annular cascade were run over a wide range of exit Mach and Reynolds numbers and gas-to-wall temperature ratios, all at levels typical to advanced engines. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1981
Accession Number
ADA110332

Entities

People

  • E. R. Turner
  • L. D. Hylton
  • M. S. Mihelc
  • R. E. York

Organizations

  • General Motors

Tags

Communities of Interest

  • Air Platforms
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Accuracy
  • Acquisition
  • Boundary Layer
  • Computational Fluid Dynamics
  • Contracts
  • Databases
  • Flow Fields
  • Fluid Flow
  • Gas Turbines
  • Geometry
  • Heat Transfer
  • Measurement
  • Molecular Dynamics
  • Temperature Gradients
  • Three Dimensional
  • Turbines
  • Two Dimensional

Fields of Study

  • Physics

Readers

  • Aerodynamics.
  • Combustion and Flow Dynamics.
  • Computational Modeling and Simulation