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Instantaneous self-calibration of a 3D imaging system in industrial facility with strong vibrations

Novara, Matteo and Schanz, Daniel and Geisler, Reinhard and Gesemann, Sebastian and Philipp, Florian and Agocs, Janos and Schröder, Andreas (2019) Instantaneous self-calibration of a 3D imaging system in industrial facility with strong vibrations. In: Proceedings of the 13th International Symposium on Particle Image Velocimetry (180), pp. 1133-1143. Universität der Bundeswehr München: AtheneForschung. 13th International Symposium on Particle Image Velocimetry – ISPIV 2019, 22-24 July 2019, Munich, Germany.

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Official URL: https://athene-forschung.unibw.de/128737


The flow on the suction side of a half-wing model is investigated by means of 3D Lagrangian particle tracking (LPT) with Multi-Pulse Shake-The-Box and stereoscopic particle image velocimetry. The experiment is carried out in the Low Speed Wind-Tunnel facility (LSWT) at the Airbus UK site (Filton, England). Illumination is provided by a multi-pulse system consisting of two dual-pulse lasers. A 3D imaging system is composed of five double-frame cameras; a two-camera subset can be employed in stereoscopic fashion. Due to the constrains posed by the limited optical access to the measurement region, three cameras are installed inside the wind-tunnel test section. As a consequence, significant vibrations occur during the operation of the wind-tunnel, leading to large unsteady decalibration of the imaging system (up to 120 px). A tailored single-snapshot self-calibration approach is proposed here which makes use of standard volume self-calibration and particle triangulation from the 3D imaging system to detect and correct the camera decalibration for each instantaneous recording. Results shows that the disparity error can be reduced to less than 0:1 px, a suitable value for both accurate 3D particle triangulation using the full imaging system and for stereoscopic evaluation of the out-of-plane velocity component with PIV making use of a two-camera subset.

Item URL in elib:https://elib.dlr.de/128621/
Document Type:Conference or Workshop Item (Speech)
Additional Information:Paper No. 188 / 129150, Session: 3.1.A 3D Methods IV, Open Access ja oder nein?: Ja / Yes
Title:Instantaneous self-calibration of a 3D imaging system in industrial facility with strong vibrations
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Novara, Matteomatteo.novara (at) dlr.deUNSPECIFIED
Schanz, Danieldaniel.schanz (at) dlr.deUNSPECIFIED
Geisler, ReinhardReinhard.Geisler (at) dlr.deUNSPECIFIED
Gesemann, Sebastiansebastian.gesemann (at) dlr.deUNSPECIFIED
Philipp, FlorianFlorian.Philipp (at) dlr.deUNSPECIFIED
Agocs, Janosjanos.agocs (at) dlr.deUNSPECIFIED
Schröder, Andreasandreas.schroeder (at) dlr.dehttps://orcid.org/0000-0002-6971-9262
Journal or Publication Title:Proceedings of the 13th International Symposium on Particle Image Velocimetry
Refereed publication:Yes
Gold Open Access:No
In ISI Web of Science:No
Page Range:pp. 1133-1143
Christian J., Prof. KählerUniversität der Bundeswehr München
Rainer, HainUniversität der Bundeswehr München
Sven, ScharnowskiUniversität der Bundeswehr München
Thomas, FuchsUniversität der Bundeswehr München
Publisher:Universität der Bundeswehr München: AtheneForschung
Series Name:Conference Proceedings online
Keywords:Lagrangian, 3D particle tracking, multi-pulse, Shake-The-Box, boundary layers
Event Title:13th International Symposium on Particle Image Velocimetry – ISPIV 2019
Event Location:Munich, Germany
Event Type:international Conference
Event Dates:22-24 July 2019
Organizer:UniBw München
Institution:Deutsches Zentrum für Luft- und Raumfahrt e.V.
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Aeronautics
HGF - Program Themes:fixed-wing aircraft
DLR - Research area:Aeronautics
DLR - Program:L AR - Aircraft Research
DLR - Research theme (Project):L - Simulation and Validation
Location: Göttingen
Institutes and Institutions:Institute for Aerodynamics and Flow Technology > Experimental Methods, GO
Deposited By: Micknaus, Ilka
Deposited On:31 Jul 2019 18:09
Last Modified:31 Jul 2019 18:09

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