Year: 2021
Type: conference-paper
Abstract: 3D Lagrangian Particle Tracking (LPT) is an image-based flow measurement technique allowing to determine position, velocity and acceleration along a large number of particle tracks at high temporal resolution within the investigated volume. Providing many long individual particle tracks at statistically significant amounts transport and dispersion properties of the (turbulent) flow can be explored in detail. Furthermore, advanced binning procedures can produce a 3D array of important one- and multi-point statistics of the flow (like averages, Reynolds stresses, two-point-correlations etc.) at very high spatial resolution down to subpixel accuracies. 3D LPT is based on pulsed volumetric illumination of tracer particles inside the flow and imaging of the scattered particle light with temporal resolution onto typically three to six camera projections. The Shake-The-Box (STB) technique is an advanced 3D LPT method which combines the triangulation-based advanced Iterative Particle Reconstruction (IPR) technique with the exploitation of the temporal and spatial coherence of Lagrangian particle tracks in the investigated flow. STB enables the processing of particle image densities up to 0.15 ppp (particles per pixel) under good experimental conditions with an almost complete suppression of ghost particles. Subsequently, the dense scattered particle tracks are temporally filtered for estimating position, velocity and acceleration (material derivative) which can be used in a second step as input for data assimilation approaches using Navier-Stokes-constraints delivering the full time-resolved 3D velocity gradient tensor (VGT)- and pressure
Source: elib (German Aerospace Center)
Authors: Schröder, Andreas, Schanz, Daniel, Novara, Matteo, Gesemann, Sebastian, Jahn, Tobias
Language: English
Subfield: Computational Mechanics
Field: Engineering
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6990492041
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