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Two‑Pulse 3D particle tracking with Shake‑The‑Box

Novara, Matteo und Schanz, Daniel und Schröder, Andreas (2023) Two‑Pulse 3D particle tracking with Shake‑The‑Box. Experiments in Fluids, 64 (93), Seiten 1-21. Springer Nature. doi: 10.1007/s00348-023-03634-7. ISSN 0723-4864.

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Offizielle URL: https://doi.org/10.1007/s00348-023-03634-7

Kurzfassung

This study presents an approach to two-pulse 3D particle tracking using methods developed within the Shake-The-Box (STB, Schanz et al. in Exp Fluids 57:70, 2016) Lagrangian particle tracking (LPT) framework. The original STB algorithm requires time-resolved data and reconstructs 3D trajectories using a particle position prediction–correction scheme. However, dual-frame 3D acquisition systems, consisting of a dual-cavity laser and double-frame cameras, remain commonly used for many particle-image-based investigations in a wide range of flow velocities and applications. While such systems can be used to capture short Multi-Pulse particle trajectories (Multi-Pulse STB, MP-STB—Novara et al. in Exp Fluids 57:128, 2016a; Novara et al. in Exp Fluids 60:44, 2019), the most widespread application is still a single-pulse illumination of each of the two available frames. As a consequence, 3D LPT approaches capable of dealing with two-pulse recordings are of high interest for both the scientific community and industry. Several methods based on various evaluation schemes have been developed in the past. In the present study, a Two-Pulse Shake-The-Box approach (TP-STB) is proposed, based on the advanced IPR algorithm presented by Jahn et al. (Exp Fluids 62:179, 2021), in combination with an iterative scheme of reconstruction and tracking, ideally with the help of a predictor gained by Particle Space Correlation. It basically constitutes a lean version of the MP-STB technique, with lower demands on experimental setup and processing time. The performances of TP-STB are assessed by means of comparison with the results from the time-resolved STB algorithm (TR-STB) both concerning synthetic and experimental data. The suitability of the algorithm for the analysis of dual-frame 3D particle imaging datasets is assessed based on the processing of existing images from a tomographic PIV experiment from 2012. The comparison with the results published by Henningsson et al. (J R Soc Interface 12:20150119, 2015) confirms the capability of TP-STB to accurately reconstruct individual particle tracks despite the limited time-resolution information offered by two-frame recordings.

elib-URL des Eintrags:https://elib.dlr.de/195094/
Dokumentart:Zeitschriftenbeitrag
Zusätzliche Informationen:Article number: 93 (2023)
Titel:Two‑Pulse 3D particle tracking with Shake‑The‑Box
Autoren:
AutorenInstitution oder E-Mail-AdresseAutoren-ORCID-iDORCID Put Code
Novara, Matteomatteo.novara (at) dlr.dehttps://orcid.org/0000-0002-8975-0419NICHT SPEZIFIZIERT
Schanz, Danieldaniel.schanz (at) dlr.dehttps://orcid.org/0000-0003-1400-4224NICHT SPEZIFIZIERT
Schröder, Andreasandreas.schroeder (at) dlr.dehttps://orcid.org/0000-0002-6971-9262138803056
Datum:29 April 2023
Erschienen in:Experiments in Fluids
Referierte Publikation:Ja
Open Access:Ja
Gold Open Access:Nein
In SCOPUS:Ja
In ISI Web of Science:Ja
Band:64
DOI:10.1007/s00348-023-03634-7
Seitenbereich:Seiten 1-21
Verlag:Springer Nature
Name der Reihe:Springer Nature Switzerland AG, Part of Springer Nature
ISSN:0723-4864
Status:veröffentlicht
Stichwörter:3D particle tracking, Shake-The-Box, Lagrangian particle tracking (LPT), Multi-Pulse particle trajectories, Particle Space Correlation, tomographic PIV
HGF - Forschungsbereich:Luftfahrt, Raumfahrt und Verkehr
HGF - Programm:Luftfahrt
HGF - Programmthema:Effizientes Luftfahrzeug
DLR - Schwerpunkt:Luftfahrt
DLR - Forschungsgebiet:L EV - Effizientes Luftfahrzeug
DLR - Teilgebiet (Projekt, Vorhaben):L - Virtuelles Flugzeug und Validierung
Standort: Göttingen
Institute & Einrichtungen:Institut für Aerodynamik und Strömungstechnik > Experimentelle Verfahren, GO
Hinterlegt von: Micknaus, Ilka
Hinterlegt am:17 Jul 2023 14:34
Letzte Änderung:26 Mär 2024 13:11

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