@techreport{
 title = {LAGRANGIAN STATISTICS FOR DENSELY-SEEDED FLOWS USING SCANNING PARTICLE IMAGE VELOCIMETRY},
 type = {techreport},
 id = {fea36189-1c68-3759-95e7-10e80fdd818b},
 created = {2020-05-26T18:31:29.992Z},
 accessed = {2020-05-26},
 file_attached = {true},
 profile_id = {69b9a636-73f6-3c08-9ec0-1f3edece6fca},
 group_id = {302cd49e-47c4-3446-9da2-2f3bd6678dd3},
 last_modified = {2020-05-26T18:31:34.141Z},
 read = {false},
 starred = {false},
 authored = {false},
 confirmed = {false},
 hidden = {false},
 private_publication = {false},
 abstract = {We propose a novel robust three-dimensional particle tracking technique based on a scanning laser setup. The method yields Lagrangian statistics in densely-seeded turbulent flows with good spatial and temporal resolution, overcoming some of the inherent difficulty with line-of-sight based volumetric methods. To do this we have developed an effective triangulation method greatly reducing ghost particle reconstruction using images from two cameras. A laser sheet is rapidly traversed ('scanned') across a measurement volume illuminating only a thin slice of the flow at a time. Particle images are taken at closely-spaced, overlapping nominal laser sheet locations giving multiple intensity recordings for each individual particle. The laser-sheet intensity varies as a Gaussian across its thickness, which is here exploited to deduce the particle's probable location along the scan direction to sub-sheet number resolution by fitting a similarly-Gaussian profile to its multiple intensity recordings. Following successful reconstruction of a time series of three-dimensional particle fields, particle tracks are formed from which all components of Lagrangian velocity and acceleration are calculated. The method is presently verified via synthetic experiment using a database born of direct numerical simulation, and is intended for high-Reynolds number experimental flows.},
 bibtype = {techreport},
 author = {Kozul, Melissa and Koothur, Vipin and Worth, Nicholas A and Dawson, James R}
}

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The method yields Lagrangian statistics in densely-seeded turbulent flows with good spatial and temporal resolution, overcoming some of the inherent difficulty with line-of-sight based volumetric methods. To do this we have developed an effective triangulation method greatly reducing ghost particle reconstruction using images from two cameras. A laser sheet is rapidly traversed ('scanned') across a measurement volume illuminating only a thin slice of the flow at a time. Particle images are taken at closely-spaced, overlapping nominal laser sheet locations giving multiple intensity recordings for each individual particle. The laser-sheet intensity varies as a Gaussian across its thickness, which is here exploited to deduce the particle's probable location along the scan direction to sub-sheet number resolution by fitting a similarly-Gaussian profile to its multiple intensity recordings. Following successful reconstruction of a time series of three-dimensional particle fields, particle tracks are formed from which all components of Lagrangian velocity and acceleration are calculated. The method is presently verified via synthetic experiment using a database born of direct numerical simulation, and is intended for high-Reynolds number experimental flows.","bibtype":"techreport","author":"Kozul, Melissa and Koothur, Vipin and Worth, Nicholas A and Dawson, James R","bibtex":"@techreport{\n title = {LAGRANGIAN STATISTICS FOR DENSELY-SEEDED FLOWS USING SCANNING PARTICLE IMAGE VELOCIMETRY},\n type = {techreport},\n id = {fea36189-1c68-3759-95e7-10e80fdd818b},\n created = {2020-05-26T18:31:29.992Z},\n accessed = {2020-05-26},\n file_attached = {true},\n profile_id = {69b9a636-73f6-3c08-9ec0-1f3edece6fca},\n group_id = {302cd49e-47c4-3446-9da2-2f3bd6678dd3},\n last_modified = {2020-05-26T18:31:34.141Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {false},\n hidden = {false},\n private_publication = {false},\n abstract = {We propose a novel robust three-dimensional particle tracking technique based on a scanning laser setup. 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