Computer Assisted Velocity and Turbulence Measurements in a Plane Free Jet at High Subsonic Velocities.

Abstract

Methods and results of an experimental study of turbulence parameters for a plane free jet at high subsonic velocities, using hot wire anemometer signals outputing directly to an on-line computer controlled data acquisition system are reported. The apparatus studied had a nozzle exit, 1 x 10 cm, designed for two-dimensional flow. Two measurement planes at 25 and 50 jet widths downstream were chosen to provide measurements to compare with existing data for the facility. Nozzle velocities of M=0.4 and M=0.6 were chosen for the same reason. The techniques for employing hot-wire anemometry coupled with computer controlled data acquisition are described. A comparison of data obtained with the computer is made to data previously obtained by more traditional methods. A comparison of linearized and non-linearized anemometer output is made. A new calibration technique, also utilizing the data acquisition system to greatly decrease the sensor calibration time, was also developed. The turbulence parameters compared are mean velocity, turbulence intensities, micro-scale, and integral scale of turbulence. The computer determined parameters compared favorably in all cases with the already available data. (Author)

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1981
Accession Number
ADA111169

Entities

People

  • Michael J. Kirchner

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Accuracy
  • Acquisition
  • Air Force
  • Air Force Facilities
  • Boundary Layer
  • Computer Programs
  • Computers
  • Data Acquisition
  • Flow Fields
  • Fluid Flow
  • Hot Wire
  • Hot Wire Anemometers
  • Instrumentation
  • Measurement
  • Pressure Transducers
  • Transducers
  • United States

Fields of Study

  • Physics

Readers

  • Computer Science/Computer Engineering/Data Science/Digital Signal Processing.
  • Fluid Dynamics.