elib
DLR-Header
DLR-Logo -> http://www.dlr.de
DLR Portal Home | Imprint | Privacy Policy | Contact | Deutsch
Fontsize: [-] Text [+]

A probabilistic particle tracking framework for high particle densities

Schiepel, Daniel and Herzog, Sebastian and Barta, Robin and Wagner, Claus (2022) A probabilistic particle tracking framework for high particle densities. In: 20th International Symposium on Applications of Laser and Imaging Techniques to Fluid Mechanics, pp. 1-10. 20th International Symposium on Application of Laser and Imaging Techniques to Fluid Mechanics, 2022-07-11 - 2022-07-14, Lissabon, Portugal.

[img] PDF - Only accessible within DLR
2MB
[img] PDF - Only accessible within DLR
4MB

Official URL: http://lisbon-lasersymposium.org/LXLASER2022/

Abstract

A framework for particle tracking velocimetry at high particle densities (HD-PTV) based on a Gaussian Mixture Model (GMM) is presented. This new approach is validated by tracking synthetic particles generated for a generalized turbulent pipe flow defining the ground truth. For a step size per time step of δS = 14 px and a particles per pixel (ppp) density of 0:09 the framework tracks about 90% of the ground truth particles (percentage of matched particles, pmp) already after 9 time steps without generating any ghost particles. For a lower step size of δS = 7 px, corresponding to a higher temporal resolution of the flow, and the lowest investigated particle density ppp = 0:02 a constant pmp close to 100% is reported. A decrease on pmp to 80% is found for the highest ppp = 0; 11 - corresponding to about 45000 particles in total. Increasing the step size per time step to δS = 14 px results in a similar sloping curve and pmp that are generally 5% lower compared to the lower step size. The approach is further successfully applied to a well-known experimental tracking problem, i.e. particle tracking in turbulent Rayleigh-Bénard convection, for which the motion of about 28500 particles is tracked. With track lengths up to 250 times steps the occuring structures and velocities are investigated and agree well with previous studies based on tomographic particle image velocimetry using the same data. Thus, it is concluded that the presented HD-PTV framework is an appropriate tool for the flow analysis even at high particle densities

Item URL in elib:https://elib.dlr.de/186669/
Document Type:Conference or Workshop Item (Speech)
Title:A probabilistic particle tracking framework for high particle densities
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Schiepel, DanielUNSPECIFIEDhttps://orcid.org/0000-0002-3703-3514UNSPECIFIED
Herzog, SebastianUNSPECIFIEDhttps://orcid.org/0000-0001-7167-3489UNSPECIFIED
Barta, RobinUNSPECIFIEDhttps://orcid.org/0000-0001-8882-5864UNSPECIFIED
Wagner, ClausUNSPECIFIEDhttps://orcid.org/0000-0003-2273-0568UNSPECIFIED
Date:July 2022
Journal or Publication Title:20th International Symposium on Applications of Laser and Imaging Techniques to Fluid Mechanics
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Page Range:pp. 1-10
Status:Published
Keywords:PTV, RBC, GMM
Event Title:20th International Symposium on Application of Laser and Imaging Techniques to Fluid Mechanics
Event Location:Lissabon, Portugal
Event Type:international Conference
Event Start Date:11 July 2022
Event End Date:14 July 2022
Organizer:ADAI - Association for the Development of Industrial Aerodynamics Center for Innovation, Technology and Policy Research IN+
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 - NGT BIT (old)
Location: Göttingen
Institutes and Institutions:Institute for Aerodynamics and Flow Technology > Ground Vehicles
Deposited By: Schiepel, Dr. Daniel
Deposited On:17 Nov 2022 17:45
Last Modified:24 Apr 2024 20:48

Repository Staff Only: item control page

Browse
Search
Help & Contact
Information
electronic library is running on EPrints 3.3.12
Website and database design: Copyright © German Aerospace Center (DLR). All rights reserved.