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3D Lagrangian Particle Tracking in Fluid Mechanics

Schröder, Andreas and Schanz, Daniel (2022) 3D Lagrangian Particle Tracking in Fluid Mechanics. In: Annual Review of Fluid Mechanics Annual Reviews Inc.. pp. 511-540. doi: 10.1146/annurev-fluid-031822-041721. ISSN 0066-4189.

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Official URL: https://doi.org/10.1146/annurev-fluid-031822-041721


In the past few decades various particle image based volumetric flow measurement techniques have been developed which showed their potential in accessing unsteady flow properties quantitatively in various experimental applications in fluid mechanics. In this article we would like to focus on physical properties and circumstances of 3D particle-based measurements and what knowledge can be used for gaining advancements in the reconstruction accuracy, spatial and temporal resolution and completeness. The natural candidate for our focus is 3D Lagrangian Particle Tracking (LPT), which allows determining position, velocity and acceleration along a large number of individual particle tracks in the investigated volume. With the advent of the dense 3D LPT technique Shake-The-Box in the past decade further possibilities for characterizing unsteady flows have been opened by delivering input data for powerful data assimilation techniques which use Navier-Stokes constraints. As a result, high-resolution Lagrangian and Eulerian data can be gained including long particle trajectories embedded in time-resolved 3D velocity- and pressure fields.

Item URL in elib:https://elib.dlr.de/193672/
Document Type:Contribution to a Collection
Additional Information:The Annual Review of Fluid Mechanics is online at fluid.annualreviews.org; E-ISSN:1545-4479
Title:3D Lagrangian Particle Tracking in Fluid Mechanics
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Schröder, AndreasUNSPECIFIEDhttps://orcid.org/0000-0002-6971-9262144831846
Schanz, DanielUNSPECIFIEDhttps://orcid.org/0000-0003-1400-4224UNSPECIFIED
Date:13 October 2022
Journal or Publication Title:Annual Review of Fluid Mechanics
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In ISI Web of Science:No
Page Range:pp. 511-540
Publisher:Annual Reviews Inc.
Keywords:Lagrangian Particle Tracking, Particle Tracking Velocimetry, Iterative Particle Reconstruction, Shake-The-Box, Data Assimilation
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:23 Mar 2023 16:59
Last Modified:04 Apr 2024 06:54

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