Optimization of particle image velocimeters

Richard D. Keane, Ronald J. Adrian

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Scopus citations

Abstract

The spatial resolution, detection rate, accuracy and reliability of a particle image velocimeter depend critically upon careful selection of a number of parameters of the PIV system and the fluid. An analytical model has been developed to analyze the effects of variation of experimental parameters which optimize the system. A set of six nondimensional parameters which are most significant in optimizing the PIV autocorrelation algorithm are derived. 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. A comparison is made with the method of analysis by Young's fringes to show this set of parameters is most significant there and the analysis is valid for both methods of PIV system interrogation. A study of a range of specific velocity fields has been undertaken to determine the influence of these parameters in each case and recommendations are made for interrogation of these velocity fields. The presence of velocity gradients in the velocity field has been examined for the cases of pure shear and solid body rotation. Corrections for the statistical bias are developed, with recommendations for minimizing bias effects and loss of signal strength.

Original languageEnglish (US)
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
Editors Anon
PublisherPubl by Int Soc for Optical Engineering
Pages139-159
Number of pages21
ISBN (Print)0912035390
StatePublished - Dec 1 1990
Externally publishedYes
EventICALEO '89 - Optical Methods in Flow and Particle Diagnostics - Orlando, FL, USA
Duration: Oct 15 1989Oct 20 1989

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume1404
ISSN (Print)0277-786X

Other

OtherICALEO '89 - Optical Methods in Flow and Particle Diagnostics
CityOrlando, FL, USA
Period10/15/8910/20/89

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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