2013
DOI: 10.3791/50559
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High-speed Particle Image Velocimetry Near Surfaces

Abstract: Multi-dimensional and transient flows play a key role in many areas of science, engineering, and health sciences but are often not well understood. The complex nature of these flows may be studied using particle image velocimetry (PIV), a laser-based imaging technique for optically accessible flows. Though many forms of PIV exist that extend the technique beyond the original planar two-component velocity measurement capabilities, the basic PIV system consists of a light source (laser), a camera, tracer particl… Show more

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Cited by 14 publications
(6 citation statements)
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“…During data analysis, each frame of the recorded video is partitioned into smaller interrogation areas such that, on average, it contains 8-10 particles. 33 The diffusion coefficient is calculated from two different correlations which are determined using Fast Fourier Transforms (FFTs). The first is the autocorrelation, which is determined by correlating an interrogation area with itself.…”
Section: A Particle Scattering Diffusometry Fundamentalsmentioning
confidence: 99%
“…During data analysis, each frame of the recorded video is partitioned into smaller interrogation areas such that, on average, it contains 8-10 particles. 33 The diffusion coefficient is calculated from two different correlations which are determined using Fast Fourier Transforms (FFTs). The first is the autocorrelation, which is determined by correlating an interrogation area with itself.…”
Section: A Particle Scattering Diffusometry Fundamentalsmentioning
confidence: 99%
“…PD involves recording a series of images of fluorescent particles undergoing Brownian motion in a quiescent volume and calculating the particle diffusion coefficient using correlation analysis (Clayton et al, 2016). Each individual image is partitioned into smaller interrogation areas (64 × 64 pixel 2 ) containing, on average 8-10 particles (Lu and Sick, 2013). Within these interrogation areas, autocorrelation and cross-correlation of the images are computed for the entire series of images.…”
Section: Particle Diffusometry (Pd) Theorymentioning
confidence: 99%
“…1.2.5. Put a target plate on the delta wing, with its surface coincident to the FOV 18 . Modify the laser sheet position until it is coincident to this target plate, by rotating the cylindrical lens and the reflection mirror.…”
Section: Protocol: 1 Wind Tunnel Setupmentioning
confidence: 99%
“…Use the images acquired in step 1.3.3 to set the scale factor and the reference position of the coordinate. Pre-process the acquired data through image processing library to highlight the particles and reduce the noise 18 . 3.2.2.…”
Section: Protocol: 1 Wind Tunnel Setupmentioning
confidence: 99%