## 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 language | English (US) |
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Article number | 013 |

Pages (from-to) | 1202-1215 |

Number of pages | 14 |

Journal | Measurement Science and Technology |

Volume | 1 |

Issue number | 11 |

DOIs | |

State | Published - Dec 1 1990 |

Externally published | Yes |

## ASJC Scopus subject areas

- Instrumentation
- Engineering (miscellaneous)
- Applied Mathematics