Numerical Simulation of Dynamic-Stall Suppression by Tangential Blowing

Abstract

The use of tangential blowing to suppress the dynamic stall of a pitching airfoil is investigated numerically. The laminar two-dimensional, compressible Navier-Stokes equations are solved time-accurately using a Beam- Warming algorithm. A slot is located at four different positions along the surface of a NACA 0015 airfoil and air is injected in a nearly tangential sense along the upper surface. Suction control is also employed at one of these slot locations to directly compare with tangential-blowing control. Solution sensitivity to grid refinement, time-step size, numerical smoothing, and initial conditions is investigated at a Reynolds number of 2.4 x 10(exp 4). Initial- condition and initial-airfoil-acceleration effects are analyzed for various pitch rates. Compressibility of M infinity = 0.2 solutions is investigated. Numerical simulation uncertainties of jet-orientation angle and jet velocity profile are investigated. Studies are conducted to establish the effects of slot position, slot width, blowing-initiation angle, blowing velocity, pulsed blowing, and blowing at different pitch rates. Computational fluid dynamics, Dynamic stall, Control, Tangential blowing, Navier-stokes equations, Compressible flow, Laminar flow

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 1994
Accession Number
ADA284887

Entities

People

  • Matthew C. Towne

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Air Force
  • Aircrafts
  • Boundary Layer
  • Computational Fluid Dynamics
  • Differential Equations
  • Flow Visualization
  • Fluid Dynamics
  • Fluid Flow
  • Fluid Mechanics
  • Geometry
  • Hydrodynamics
  • Mechanical Properties
  • Navier Stokes Equations
  • Reynolds Number
  • Three Dimensional
  • Turbulent Mixing
  • Two Dimensional

Fields of Study

  • Physics

Readers

  • Finite Element Method (FEM) for solving Partial Differential Equations (PDEs)
  • Fluid Mechanics and Fluid Dynamics.