High dynamic velocity range particle image velocimetry using multiple pulse separation imaging.

Sensors
Tim Persoons, Tadhg S O'Donovan

Abstract

The dynamic velocity range of particle image velocimetry (PIV) is determined by the maximum and minimum resolvable particle displacement. Various techniques have extended the dynamic range, however flows with a wide velocity range (e.g., impinging jets) still challenge PIV algorithms. A new technique is presented to increase the dynamic velocity range by over an order of magnitude. The multiple pulse separation (MPS) technique (i) records series of double-frame exposures with different pulse separations, (ii) processes the fields using conventional multi-grid algorithms, and (iii) yields a composite velocity field with a locally optimized pulse separation. A robust criterion determines the local optimum pulse separation, accounting for correlation strength and measurement uncertainty. Validation experiments are performed in an impinging jet flow, using laser-Doppler velocimetry as reference measurement. The precision of mean flow and turbulence quantities is significantly improved compared to conventional PIV, due to the increase in dynamic range. In a wide range of applications, MPS PIV is a robust approach to increase the dynamic velocity range without restricting the vector evaluation methods.

References


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Citations

Sep 26, 2013·Journal of Ultrasound in Medicine : Official Journal of the American Institute of Ultrasound in Medicine·Dae Woo ParkWilliam F Weitzel
Jun 23, 2020·Technology and Health Care : Official Journal of the European Society for Engineering and Medicine·Yujie LiMakoto Ohta

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Software Mentioned

Matlab
DaVis
LaVision
LaVision Davis

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