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pyPTV - a complete framework to reconstruct physical flow fields from camera images

Barta, Robin and Bauer, Christian and Wagner, Claus (2023) pyPTV - a complete framework to reconstruct physical flow fields from camera images. In: 15th International Symposium on Particle Image Velocimetry – ISPIV 2023, pp. 1-10. The California State University (ScholarWorks). 15th International Symposium on Particle Image Velocimetry – ISPIV 2023, 2023-06-19 - 2023-06-21, San Diego, CA, USA.

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Official URL: https://scholarworks.calstate.edu/collections/bg257p13m

Abstract

We introduce a novel probability-based Particle Tracking Velocimetry (PTV) and Data Assimilation (DA) framework called pyPTV. It is an open-source project under continuous development and is completely written in the programming language Python. The framework provides a complete routine for processing measurement data suitable for PTV. Starting from raw camera images, pyPTV includes image processing, calibration, and a novel PTV algorithm to reconstruct individual seeding particle trajectories (tracks) in a Lagrangian frame of view. In addition, post-processing algorithms are implemented to refine the tracks. The framework includes interpolation and DA algorithms, that allow the user to generate physical flow fields in an Eulerian frame of view. The velocity field of the particle tracks is corrected to be solenoidal, and the pressure field is estimated. The implemented debugging scripts help fix problems with each subroutine during processing. To verify the method, a synthetic test case of turbulent Rayleigh-Bénard (RB) convection (Pr = 6.9, Ra = 1E10) in a cubic cell is generated by direct numerical simulation with massless tracer particles. A reconstruction accuracy of over 65% with 95% correct tracks is achieved at tracer particle densities of about 0.1 ppp

Item URL in elib:https://elib.dlr.de/195707/
Document Type:Conference or Workshop Item (Speech)
Title:pyPTV - a complete framework to reconstruct physical flow fields from camera images
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Barta, RobinUNSPECIFIEDhttps://orcid.org/0000-0001-8882-5864UNSPECIFIED
Bauer, ChristianUNSPECIFIEDhttps://orcid.org/0000-0003-1838-6194UNSPECIFIED
Wagner, ClausUNSPECIFIEDhttps://orcid.org/0000-0003-2273-0568UNSPECIFIED
Date:19 June 2023
Journal or Publication Title:15th International Symposium on Particle Image Velocimetry – ISPIV 2023
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Page Range:pp. 1-10
Publisher:The California State University (ScholarWorks)
Series Name:Proceedings of the International Symposium on Particle Image Velocimetry
Status:Published
Keywords:PTV, Rayleigh-Bénard convection, Probability
Event Title:15th International Symposium on Particle Image Velocimetry – ISPIV 2023
Event Location:San Diego, CA, USA
Event Type:international Conference
Event Start Date:19 June 2023
Event End Date:21 June 2023
Organizer:San Diego State University
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Transport
HGF - Program Themes:Rail Transport
DLR - Research area:Transport
DLR - Program:V SC Schienenverkehr
DLR - Research theme (Project):V - RoSto - Rolling Stock
Location: Göttingen
Institutes and Institutions:Institute for Aerodynamics and Flow Technology > Ground Vehicles
Deposited By: Barta, Robin
Deposited On:14 Jul 2023 12:04
Last Modified:24 Apr 2024 20:56

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