Optimization of particle image velocimeters. I. Double pulsed systems

R. D. Keane, R. J. Adrian

Research output: Contribution to journalArticlepeer-review

625 Scopus citations

Abstract

The spatial resolution, detection rate, accuracy and reliability of a particle image velocimeter (PIV) depend critically upon the careful selection of a number of parameters of the PIV system and the fluid motion. An analytical model and a Monte Carlo computer simulation have been developed to analyse the effects of experimental parameters and to optimize the system parameters. A set of six nondimensional parameters that are the most significant in optimizing PIV performance are identified. They are the data validation criterion, the particle image density, the relative in-plane image displacement, the relative out-of-plane displacement, a velocity gradient parameter, and the ratio of the mean image diameter to the interrogation spot diameter. These parameters are studied for the case of interrogation by autocorrelation analysis. By a single transformation, these results can be applied to interrogation by two-dimensional Fourier transform analysis of the Young's fringes.

Original languageEnglish (US)
Article number013
Pages (from-to)1202-1215
Number of pages14
JournalMeasurement Science and Technology
Volume1
Issue number11
DOIs
StatePublished - Dec 1 1990
Externally publishedYes

ASJC Scopus subject areas

  • Instrumentation
  • Engineering (miscellaneous)
  • Applied Mathematics

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