Literature DB >> 26967544

Three-dimensional Particle Tracking Velocimetry for Turbulence Applications: Case of a Jet Flow.

Jin-Tae Kim1, David Kim1, Alex Liberzon2, Leonardo P Chamorro3.   

Abstract

3D-PTV is a quantitative flow measurement technique that aims to track the Lagrangian paths of a set of particles in three dimensions using stereoscopic recording of image sequences. The basic components, features, constraints and optimization tips of a 3D-PTV topology consisting of a high-speed camera with a four-view splitter are described and discussed in this article. The technique is applied to the intermediate flow field (5 <x/d <25) of a circular jet at Re ≈ 7,000. Lagrangian flow features and turbulence quantities in an Eulerian frame are estimated around ten diameters downstream of the jet origin and at various radial distances from the jet core. Lagrangian properties include trajectory, velocity and acceleration of selected particles as well as curvature of the flow path, which are obtained from the Frenet-Serret equation. Estimation of the 3D velocity and turbulence fields around the jet core axis at a cross-plane located at ten diameters downstream of the jet is compared with literature, and the power spectrum of the large-scale streamwise velocity motions is obtained at various radial distances from the jet core.

Mesh:

Year:  2016        PMID: 26967544      PMCID: PMC4828189          DOI: 10.3791/53745

Source DB:  PubMed          Journal:  J Vis Exp        ISSN: 1940-087X            Impact factor:   1.355


  2 in total

1.  Visualization and measurements of flows in micro silicon Y-channels.

Authors:  Jostein Kolaas; Atle Jensen; Michal Mielnik
Journal:  Eur Phys J E Soft Matter       Date:  2013-02-27       Impact factor: 1.890

2.  Three-dimensional Particle Tracking Velocimetry for Turbulence Applications: Case of a Jet Flow.

Authors:  Jin-Tae Kim; David Kim; Alex Liberzon; Leonardo P Chamorro
Journal:  J Vis Exp       Date:  2016-02-27       Impact factor: 1.355

  2 in total
  2 in total

1.  Gaussian process post-processing for particle tracking velocimetry.

Authors:  Tommy Tang; Engin Deniz; Mustafa K Khokha; Hemant D Tagare
Journal:  Biomed Opt Express       Date:  2019-06-07       Impact factor: 3.732

2.  Three-dimensional Particle Tracking Velocimetry for Turbulence Applications: Case of a Jet Flow.

Authors:  Jin-Tae Kim; David Kim; Alex Liberzon; Leonardo P Chamorro
Journal:  J Vis Exp       Date:  2016-02-27       Impact factor: 1.355

  2 in total

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