Novara, Matteo and Schanz, Daniel and Schröder, Andreas (2023) Two‑Pulse 3D particle tracking with Shake‑The‑Box. Experiments in Fluids, 64 (93), pp. 1-21. Springer Nature. doi: 10.1007/s00348-023-03634-7. ISSN 0723-4864.
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Official URL: https://doi.org/10.1007/s00348-023-03634-7
Abstract
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.
Item URL in elib: | https://elib.dlr.de/195094/ | ||||||||||||||||
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Document Type: | Article | ||||||||||||||||
Additional Information: | Article number: 93 (2023) | ||||||||||||||||
Title: | Two‑Pulse 3D particle tracking with Shake‑The‑Box | ||||||||||||||||
Authors: |
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Date: | 29 April 2023 | ||||||||||||||||
Journal or Publication Title: | Experiments in Fluids | ||||||||||||||||
Refereed publication: | Yes | ||||||||||||||||
Open Access: | Yes | ||||||||||||||||
Gold Open Access: | No | ||||||||||||||||
In SCOPUS: | Yes | ||||||||||||||||
In ISI Web of Science: | Yes | ||||||||||||||||
Volume: | 64 | ||||||||||||||||
DOI: | 10.1007/s00348-023-03634-7 | ||||||||||||||||
Page Range: | pp. 1-21 | ||||||||||||||||
Publisher: | Springer Nature | ||||||||||||||||
Series Name: | Springer Nature Switzerland AG, Part of Springer Nature | ||||||||||||||||
ISSN: | 0723-4864 | ||||||||||||||||
Status: | Published | ||||||||||||||||
Keywords: | 3D particle tracking, Shake-The-Box, Lagrangian particle tracking (LPT), Multi-Pulse particle trajectories, Particle Space Correlation, tomographic PIV | ||||||||||||||||
HGF - Research field: | Aeronautics, Space and Transport | ||||||||||||||||
HGF - Program: | Aeronautics | ||||||||||||||||
HGF - Program Themes: | Efficient Vehicle | ||||||||||||||||
DLR - Research area: | Aeronautics | ||||||||||||||||
DLR - Program: | L EV - Efficient Vehicle | ||||||||||||||||
DLR - Research theme (Project): | L - Virtual Aircraft and Validation | ||||||||||||||||
Location: | Göttingen | ||||||||||||||||
Institutes and Institutions: | Institute for Aerodynamics and Flow Technology > Experimental Methods, GO | ||||||||||||||||
Deposited By: | Micknaus, Ilka | ||||||||||||||||
Deposited On: | 17 Jul 2023 14:34 | ||||||||||||||||
Last Modified: | 17 Jul 2023 14:34 |
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