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‘Shake The Box’: A highly efficient and accurate Tomographic Particle Tracking Velocimetry (TOMO-PTV) method using prediction of particle positions

Schanz, Daniel and Schröder, Andreas and Gesemann, Sebastian and Michaelis, Dirk and Wieneke, Bernhard (2013) ‘Shake The Box’: A highly efficient and accurate Tomographic Particle Tracking Velocimetry (TOMO-PTV) method using prediction of particle positions. 10th International Symposium on Particle Image Velocimetry, 01. - 03. Jul. 2013, Delft, The Netherlands.

Full text not available from this repository.

Official URL: http://www.piv2013.org/

Abstract

A novel approach to the evaluation of time resolved particle-based tomographic data is introduced. By seizing the time information contained in such datasets, a very fast and accurate tracking of nearly all particles within the measurement domain is achieved at seeding densities comparable to (and probably above) the thresholds for tomographic PIV. The method relies on predicting the position of already tracked particles and refining the found position by an image matching scheme (‘shaking’ all particles within the measurement ‘box’ until they fit the images: ‘Shake The Box’ - STB). New particles entering the measurement domain are identified using triangulation on the residual images. Application of the method on a high-resolution time-resolved experimental dataset showed a reliable tracking of the vast majority of available particles for long time-series with many particles being tracked for their whole length of stay within the measurement domain. The image matching process ensures highly accurate particle positioning. Comparing the results to tomographic PIV evaluations by interpolating vector volumes from the discrete particles shows a high conformity of the results. The availability of discrete track information additionally allows for Lagrangian evaluations not possible with PIV data, as well as easy temporal smoothing and a reliable determination of derivations. The processing time of a not fully optimized version of STB proved to be a factor of 3 to 4 faster compared to the fastest methods available for TOMO-PIV.

Item URL in elib:https://elib.dlr.de/80617/
Document Type:Conference or Workshop Item (Speech, Paper)
Title:‘Shake The Box’: A highly efficient and accurate Tomographic Particle Tracking Velocimetry (TOMO-PTV) method using prediction of particle positions
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Schanz, DanielUNSPECIFIEDUNSPECIFIED
Schröder, AndreasUNSPECIFIEDUNSPECIFIED
Gesemann, SebastianUNSPECIFIEDUNSPECIFIED
Michaelis, DirkLaVision, GöttingenUNSPECIFIED
Wieneke, BernhardLaVision, Göttingen, DUNSPECIFIED
Date:2013
Refereed publication:No
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Page Range:pp. 1-13
Series Name:Conference Proceedings on USB-Stick
Status:Published
Keywords:tomographic PIV, time-resolved, 3D-Correlation
Event Title:10th International Symposium on Particle Image Velocimetry
Event Location:Delft, The Netherlands
Event Type:international Conference
Event Dates:01. - 03. Jul. 2013
Organizer:Delft University of Technology
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Aeronautics
HGF - Program Themes:Aircraft Research (old)
DLR - Research area:Aeronautics
DLR - Program:L AR - Aircraft Research
DLR - Research theme (Project):L - Simulation & Validation (old)
Location: Köln-Porz , Göttingen
Institutes and Institutions:Institute of Aerodynamics and Flow Technology > Experimental Methods
Deposited By: Micknaus, Ilka
Deposited On:15 Jul 2013 15:52
Last Modified:15 Jul 2013 15:52

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