Numerical Simulation of Supersonic Turbulent Boundary Layer Flow Under the Influence of Mild Pressure Gradients

Abstract

Mach 2.9 boundary layer flow (R sub e/m approx. 1.75x10 to the 7th power) under the influence of mild pressure gradients is studied numerically. Baldwin-Lomax and k - omega turbulence models are incorporated into a cell centered finite volume flow solver and the results are compared with hot wire anemometry and Laser Doppler Velocimetry (LDV) measurements obtained for the same geometries in the AFIT Mach 2.9 wind tunnel. Agreement between the present simulations obtained with the k - omega turbulence model and experimental velocity profiles is excellent in all test sections. Nondimensional turbulent shear stress predictions closely match experimental data in the flat plate and adverse pressure gradient sections while slightly over predicting this quantity in the favorable pressure gradient region. Favorable pressure gradients are found to stabilize the flow field, resulting in increased boundary layer thickness and reduced turbulent and wall shear stress distributions. Additionally, the presence of a favorable pressure gradient is found to diminish the effects of variations in upstream boundary condition specification. Adverse pressure gradients are found to destabilize the flow field, resulting in increases in the turbulent shear stress, turbulent kinetic energy, and wall shear stress. Upstream effects are found to play a major role in adverse pressure gradient flowfield development. Flow field features are predicted more accurately with the k - omega model than with the Baldwin-Lomax model.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1995
Accession Number
ADA325879

Entities

People

  • Eric T. Fick

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Air Platforms
  • Energy and Power Technologies
  • Weapons Technologies

DTIC Thesaurus Topics

  • Boundary Layer
  • Boundary Layer Flow
  • Computational Fluid Dynamics
  • Computational Science
  • Differential Equations
  • Energy Transfer
  • Experimental Data
  • Fluid Dynamics
  • Fluid Flow
  • Fluid Mechanics
  • Geometry
  • Heat Transfer
  • Mechanical Properties
  • Pressure Distribution
  • Pressure Gradients
  • Viscous Flow
  • Wind Tunnels

Fields of Study

  • Physics

Readers

  • Fluid Mechanics and Fluid Dynamics.

Technology Areas

  • Directed Energy
  • Hypersonics