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  Improved 3-D Particle Tracking Velocimetry with colored particles

Bendicks, C., Tarlet, D., Roloff, C., Bordás, R., Wunderlich, B., Michaelis, B., et al. (2011). Improved 3-D Particle Tracking Velocimetry with colored particles. Journal of Signal and Information Processing, 2(2), 59-71. doi:10.4236/jsip.2011.22009.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-002E-A373-6 Version Permalink: http://hdl.handle.net/11858/00-001M-0000-002E-A374-4
Genre: Journal Article

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 Creators:
Bendicks, C.1, Author
Tarlet, D.1, Author
Roloff, C.2, Author              
Bordás, R.1, Author
Wunderlich, B.1, Author
Michaelis, B.1, Author
Thévenin, D.1, Author
Affiliations:
1Otto von Guericke University, ISUT, ou_persistent22              
2International Max Planck Research School (IMPRS), Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, ou_1738143              

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Free keywords: 3D particle tracking – Gas flows – Coloured tracer particles – Velocimetry – Wind tunnel
 Abstract: This work describes an original approach for 3D Particle Tracking Velocimetry (3D PTV), applicable also for gaseous flows and based on tracer particles of different colours. On the images acquired by several cameras, tracer particles are handled by colour recognition and 3D localisation. Then, the PTV tracking algorithm rebuilds the trajectories of the tracer particles using a criterion of Minimum Acceleration. Theoretical and numerical calculations are first presented to demonstrate that the employed coloured tracer particles follow in a suitable manner the considered gas flows. The test cases analysed comprise low Reynolds number flows involving a variety of interesting features, in particular boundary layer separation, continuous acceleration and recirculations. The experimental setup and the 3D PTV procedure are then described. All results are analysed in a quantitative manner and demonstrate the performance of the developed measurement strategy in gas flows.

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Language(s): eng - English
 Dates: 2011
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: eDoc: 571460
DOI: 10.4236/jsip.2011.22009
 Degree: -

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Title: Journal of Signal and Information Processing
Source Genre: Journal
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Publ. Info: -
Pages: - Volume / Issue: 2 (2) Sequence Number: - Start / End Page: 59 - 71 Identifier: -