Deutsch
 
Hilfe Datenschutzhinweis Impressum
  DetailsucheBrowse

Datensatz

DATENSATZ AKTIONENEXPORT
  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.

Item is

Externe Referenzen

einblenden:

Urheber

einblenden:
ausblenden:
 Urheber:
Bendicks, C.1, Autor
Tarlet, D.1, Autor
Roloff, C.2, Autor           
Bordás, R.1, Autor
Wunderlich, B.1, Autor
Michaelis, B.1, Autor
Thévenin, D.1, Autor
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              

Inhalt

einblenden:
ausblenden:
Schlagwörter: 3D particle tracking – Gas flows – Coloured tracer particles – Velocimetry – Wind tunnel
 Zusammenfassung: 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.

Details

einblenden:
ausblenden:
Sprache(n): eng - English
 Datum: 2011
 Publikationsstatus: Erschienen
 Seiten: -
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: eDoc: 571460
DOI: 10.4236/jsip.2011.22009
 Art des Abschluß: -

Veranstaltung

einblenden:

Entscheidung

einblenden:

Projektinformation

einblenden:

Quelle 1

einblenden:
ausblenden:
Titel: Journal of Signal and Information Processing
Genre der Quelle: Zeitschrift
 Urheber:
Affiliations:
Ort, Verlag, Ausgabe: -
Seiten: - Band / Heft: 2 (2) Artikelnummer: - Start- / Endseite: 59 - 71 Identifikator: -