A Theoretical Study of the Performance of a Number of Different Axial-Flow Turbine Configurations under Conditions of Pulsating Flow.

Abstract

The work described in this report is a continuation of an earlier investigation aimed at determining the best turbine configuration for operation with the pulsating flow occurring in a constant-volume gas turbine. In the earlier investigation, a radial-inflow turbine was chosen for analysis. This initial work is now extended to a number of different two-stage, axial-flow turbines. The method of turbine performance prediction for steady-flow operating conditions was developed for a single-stage, axial-flow turbine. During this development it was found that existing correlations for determining turbine loss characteristics at high negative angles of incidence were inadequate and consequently a modified approach had to be developed. Four basic two-stage turbines, each having different blade angles, as well as several versions of one of these, were chosen for analysis. The mean efficiencies of these machines for pulsating-flow operating conditions were estimated by using a quasi-steady method of analysis. The results obtained for the selected turbines are presented and compared with the results for the radial-inflow turbine. A configuration is proposed that could possibly give better mean efficiencies under pulsating-flow conditions than those actually considered. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 1977
Accession Number
ADA056866

Entities

People

  • Lincoln Erm

Tags

Communities of Interest

  • Air Platforms
  • Weapons Technologies

DTIC Thesaurus Topics

  • Aeronautics
  • Axial Flow
  • Axial Flow Turbines
  • Boundary Layer
  • Engineers
  • Flow
  • Fluid Dynamics
  • Fluid Mechanics
  • Gas Flow
  • Gas Turbines
  • Geometry
  • Mach Number
  • Mechanical Engineering
  • Static Pressure
  • Steady Flow
  • Time Intervals
  • Turbines

Fields of Study

  • Engineering
  • Physics

Readers

  • Combustion and Flow Dynamics.
  • Systems Analysis and Design