1999
DOI: 10.1007/s003480050263
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Experimental uncertainties associated with particle image velocimetry (PIV) based vorticity algorithms

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Cited by 90 publications
(43 citation statements)
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“…For the swirl view measurements, the Laser beam was converted to a sheet of about 0.5-1 mm thickness by a combination of spherical and cylindrical lenses, fired horizontally through the pentroof of the engine in full optical setup (quartz liner and sapphire piston window); the camera was positioned in front of the 45° mirror that was situated within the Bowditch piston arrangement, see Figure 2 Several aspects of the PIV technique, including practical application, precision and uncertainties were optimised according to [23] in consultation with seminal publications on the specifics of PIV [24][25][26][27][28][29][30][31] and previously published PIV studies focused on internal combustion engine measurements [6][7][8][9][32][33][34]. In this context, Table 3 summarises the system's main settings and several other details of the PIV measurements presented in this paper, e.g.…”
Section: Test Procedures Pivmentioning
confidence: 99%
“…For the swirl view measurements, the Laser beam was converted to a sheet of about 0.5-1 mm thickness by a combination of spherical and cylindrical lenses, fired horizontally through the pentroof of the engine in full optical setup (quartz liner and sapphire piston window); the camera was positioned in front of the 45° mirror that was situated within the Bowditch piston arrangement, see Figure 2 Several aspects of the PIV technique, including practical application, precision and uncertainties were optimised according to [23] in consultation with seminal publications on the specifics of PIV [24][25][26][27][28][29][30][31] and previously published PIV studies focused on internal combustion engine measurements [6][7][8][9][32][33][34]. In this context, Table 3 summarises the system's main settings and several other details of the PIV measurements presented in this paper, e.g.…”
Section: Test Procedures Pivmentioning
confidence: 99%
“…The combination of Gaussian smoothing with this finite difference scheme has been used by Ge et al 27 , among others, for similar measurements. It has been shown by Luff et al 41 that this approach is superior to more complex finite differences. In tests on synthetic PIV data, is has been demonstrated that the smoothing step can reduce noise in the gradients from 68% to about 4% 41 .…”
Section: Summary Of Data Processingmentioning
confidence: 99%
“…Consequently, if uncertainties within 1% are desired with turbulence intensity of 10%, 100 vector maps would be required for the mean velocity but 20,000 vector maps for a component of the Reynolds normal stress. Luff et al (1999) conducted a computational and experimental study to investigate the typical experimental uncertainties that could be expected in the use of PIV systems to measure vorticity (which is calculated via measured velocity gradients or their equivalents). They showed that average uncertainties up to 37% and peak uncertainties of the order of 550% could result from the direct numerical processing using autocorrelation techniques.…”
Section: Particle Motionmentioning
confidence: 99%
“…With appropriate processing, average uncertainties could be reduced to about 4% and peak uncertainties were on the order of 20%. Various approaches to improving the situation are provided in the Luff et al (1999) article. Forliti, Strykowski, and Debatin (2000) examined bias and precision uncertainties of various peak-finding algorithms with TSI software.…”
Section: Particle Motionmentioning
confidence: 99%