Seeding optimization for instantaneous volumetric velocimetry. Application to a jet in crossflow
Tristan Cambonie, Jean-Luc Aider

TL;DR
This paper investigates how optical screening affects volumetric velocimetry accuracy and proposes an optimization methodology for particle seeding to improve spatial resolution in 3D flow measurements, demonstrated on a jet in crossflow.
Contribution
It introduces a rigorous method to optimize particle concentration considering system parameters, enhancing volumetric velocimetry performance.
Findings
Optimal particle concentration of 0.045 particles/pixel identified.
Three regimes of detection performance based on particle concentration.
Method successfully applied to complex jet in crossflow flow case.
Abstract
Every volumetric velocimetry measurements based on tracer (particles, bubbles, etc.) detection can be strongly influenced by the optical screening phenomenon. It has to be taken into account when the the statistical properties associated to the performances of the particle detection and tracking algorithms are significantly affected. It leads to a maximum concentration of particles in the images thus limiting the final spatial resolution of the instantaneous three-dimensional three-components (3D3C) velocity fields. A volumetric velocimetry system based on Defocused Digital Particle Image Velocimetry is used to show that above a critical visual concentration of particles in the images, the concentration and accuracy of the final instantaneous raw velocity vector field drop. The critical concentration depends on physical parameters as well as on the processing algorithms. Three distinct…
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