DEVELOPMENT DESIGN METHODS FOR PREDICTING HYPERSONIC AERODYNAMIC CONTROL CHARACTERISTICS

Abstract

Design methods are developed for determining aerodynamic control effectiveness at hypersonic speeds along body surface. Pressure and heat transfer distributions in separated regions due to aerodynamic control deflection are described in terms of characteristic magnitudes and distance parameters by semiempirical correlations. The forms of these correlations are inferred from theory and experimental data. Using these correlations, pressure distribution in the separated region over a deflected flap is approximated and expressions for force and moment coefficients are determined. General charts are developed which present separation and flow parameters over a range of flight conditions for a typical hypersonic vehicle. Flow separation over a fin-plate configuration is presented using experimental measurements. Also, characteristics of flow over a flat plate, flat delta wing, and delta with dihedral are analyzed using visual flow records and pressure measurements from the point of view of two-dimensional flow. Applicability of the correlation expressions to separated flow on various configurations is discussed and calculated aerodynamic coefficients are compared with measured values.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1966
Accession Number
AD0644251

Entities

People

  • Carl F. Ehrlich
  • Zenon Popinski

Organizations

  • Lockheed Martin

Tags

Communities of Interest

  • Air Platforms
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Boundary Layer
  • Computational Fluid Dynamics
  • Flow Fields
  • Flow Visualization
  • Fluid Dynamics
  • Fluid Flow
  • Fluid Mechanics
  • Gas Flow
  • Heat Transfer
  • Hydrodynamics
  • Pressure Distribution
  • Pressure Measurement
  • Test Facilities
  • Three Dimensional
  • Turbulent Flow
  • Two Dimensional
  • Viscous Flow

Fields of Study

  • Physics

Readers

  • Aerodynamics/Aeronautics.
  • Fluid Mechanics and Fluid Dynamics.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • Hypersonics
  • Hypersonics - Hypersonic Flow