Accession Number:

ADA199531

Title:

A Fast Data Reduction Algorithm for Multi-Frame Particle-Image Velocimetry

Descriptive Note:

Technical rept. Dec 1987-Feb 1988

Corporate Author:

ARMY BALLISTIC RESEARCH LAB ABERDEEN PROVING GROUND MD

Personal Author(s):

Report Date:

1988-03-01

Pagination or Media Count:

24.0

Abstract:

An efficient tracking algorithm for the reduction and analysis of particle image velocimetry data is described. Using Fast Fourier Transforms, it is shown that one hundred identical particles performing random motions superimposed on Poiseuille flow and recorded on two successive frames may be tracked in about one minute of time on a Cyber 175 computer. The use and analysis of the signatures of light reflected by scattering sites in a moving medium has been actively pursued for the determination of flow velocities. A good overview of the subject was given by Adrian. Here we address the problem of the associated data reduction, in particular when the number of scatterers is relatively small the order of 100, and the particles are relatively large, of the order of tens of microns this is called particle image velocimetry PIV.

Subject Categories:

  • Ammunition and Explosives
  • Combustion and Ignition

Distribution Statement:

APPROVED FOR PUBLIC RELEASE