2018
DOI: 10.1016/j.optlastec.2017.08.013
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Particle image velocimetry based on wavelength division multiplexing

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Cited by 5 publications
(3 citation statements)
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“… Ref. Sensors Pixel spacing and pixel pitch Angle between cameras [ 1 ] N/A N/A N/A [ 8 ] N/A N/A N/A [ 9 ] N/A N/A N/A [ 10 ] CCD N/A N/A [ 11 ] N/A N/A N/A [ 12 ] CCD N/A 90° [ 13 ] N/A N/A N/A [ 14 ] CCD N/A N/A [ 15 ] CCD N/A N/A [ 16 ] CCD N/A N/A [ 22 ] N/A N/A N/A [ 23 ] CCD N/A N/A [ 24 ] …”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“… Ref. Sensors Pixel spacing and pixel pitch Angle between cameras [ 1 ] N/A N/A N/A [ 8 ] N/A N/A N/A [ 9 ] N/A N/A N/A [ 10 ] CCD N/A N/A [ 11 ] N/A N/A N/A [ 12 ] CCD N/A 90° [ 13 ] N/A N/A N/A [ 14 ] CCD N/A N/A [ 15 ] CCD N/A N/A [ 16 ] CCD N/A N/A [ 22 ] N/A N/A N/A [ 23 ] CCD N/A N/A [ 24 ] …”
Section: Resultsmentioning
confidence: 99%
“…Tang et al [ 24 ] proposed a methodology called wavelength division multiplexing depending on PIV. In the study, the viability of WDM-PIV is discussed.…”
Section: Introductionmentioning
confidence: 99%
“…However, the PIV method has become a more popular way to measure airflows and their characteristics in the past years due to its nonintrusive measurement method. In addition, PIV has advantages of measuring the velocity field for each instant in a given time frame [13][14][15]. Thanks to these features, it is possible to measure the characteristics of airflow very accurately.…”
Section: Experimental Set-upmentioning
confidence: 99%