Propulsion System Flow Stability Program (Dynamic). Part III. Inlet Dynamic Distortion.

Abstract

Existing data from wind tunnel and flight tests were analyzed to obtain a better understanding of inlet-induced turbulence. Data were analyzed for both two-dimensional and axisymmetric external-internal shock compression inlets operating at mach numbers from 1.2 to 3.0, and from high to extremely low recoveries. As a secondary objective, the several statistical parameters used in the data analyses were evaluated. These included RMS amplitude, probability density, auto correlation, cross correlation, power spectral density, and cross power spectral density. For the configurations and conditions investigated, turbulence is primarily a function of boundary layer-shock interaction. Turbulence amplitude increases with increasing terminal shock strength, and decreases with distance downstream of the terminal shock. Turbulence consists of both random and nonrandom components, the latter tending to coincide with the acoustic frequencies of the inlet duct. As turbulence amplitude increases, there is a disproportionate part of the increase in the low frequency range. Turbulence energy tends to peak at the inlet acoustic frequencies. Power spectral density was found to be the most useful single statistical parameter. Least useful was the probability density which was found to be insensitive and difficult to interpret. (Author)

Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1968
Accession Number
AD0859281

Entities

People

  • Arnold W. Martin
  • Leonard C. Kostin
  • Sidney D. Millstone

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Acoustic Frequencies
  • Amplitude
  • Boundary Layer
  • Cross Correlation
  • Data Analysis
  • Data Science
  • Frequency
  • Layers
  • Mach Number
  • Probability
  • Propulsion Systems
  • Terminals
  • Turbulence
  • Two Dimensional
  • Wind Tunnels

Fields of Study

  • Physics

Readers

  • Aerodynamics.
  • Fluid Mechanics and Fluid Dynamics.
  • Regression Analysis.