Multiple-Exposure PTV With Variable Time Steps

F. Scarano*, I. Hysa, A. Grille Guerra, Marthijn Tuinstra, A. Sciacchitano

*Corresponding author for this work

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

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Abstract

Recording multiple exposures of the tracer particles onto a single digital image has the potential to simplify the hardware needed for 3D PTV measurements. A sequence with equal time intervals leads to the well-known directional ambiguity problem. Instead, a sequence with irregular time-intervals (two or more) allows resolving the ambiguity. Two fundamental criteria are introduced that determine whether a set of particle samples corresponds to a physical trace for a given neighborhood: the kinematic similarity criterion imposes similarity (i.e. proportionality) between the length travelled by the particle and time elapsed. Additionally, the trace regularity criterion favors sets with minimum fluctuations of the velocity vector. A numerical algorithm, based on combinatorial analysis is presented, whereby all possible sets are scrutinized and the set of particles yielding the minimum disparity from the above criteria corresponds to the physical trace. The algorithm is demonstrated using 3D experimental data and results are benchmarked against the state-of-the-art time-resolved analysis Shakethe-Box (single-frame, single-exposure).
Original languageEnglish
Title of host publicationProceedings of the 21st International Symposium on the Application of Laser and Imaging Techniques to Fluid Mechanics
PublisherLISBON Simposia
Number of pages20
ISBN (Print)978-989-53637-1-1
DOIs
Publication statusPublished - 2024
Event21st International Symposium on the Application of Laser and Imaging Techniques to Fluid Mechanics - Lisbon, Portugal
Duration: 8 Jul 202411 Jul 2024

Conference

Conference21st International Symposium on the Application of Laser and Imaging Techniques to Fluid Mechanics
Country/TerritoryPortugal
CityLisbon
Period8/07/2411/07/24

Keywords

  • particle tracking
  • trace detection
  • 3D
  • multi-exposure
  • directional ambiguity

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