High-speed micro-focusing shadowgraphy measuring particle velocities in densely-seeded particle-laden flows

Abstract: High-speed micro-focusing shadowgraph velocimetry (µ-PSV) has been developed to measure particle velocity and concentration under high-loading conditions, with a particle volume fraction, Φv,p, of O(10−1) in the four-way coupling regime. A high-speed camera operating at 10 kHz, coupled with the earlier developed µ-PSV setup, is used to study the particle dynamics at the jet exit for an impulsively-seeded, particle-laden flow into an otherwise continuous jet in an isothermal lab-scale model of a drop-tube reactor. A spatial resolution of 3 µm/pixel and a narrow depth of field of approximately ± 0.3 mm can be achieved with the current configuration, resulting in 15 pairs of particle tracks for a single particle and up to around 35 particles identified in a single image view (2.9 mm × 3.8 mm). This benefits studies of detailed particle phenomena, such as inter-particle collision, particle clustering, and pairing, with high temporal and spatial resolution, as demonstrated. Both particle counting and image intensity have been found to be sensitive to Φv,p, which gives confidence to use this technique, despite further work being needed to resolve cluster motion and calibrate measurements of Φv,p for providing absolute values. The complex flow dynamics of this system, including an initial rapid rise, a plateau, and a zone of high variability in the velocity profile, have also been revealed. Keywords: Particle-laden jet, two-phase flow, shadowgraph, particle image/tracking velocimetry

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-12-01
DOI
https://doi.org/10.5281/zenodo.14213625
Primary Topic
Particle Dynamics in Fluid Flows
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

High-speed micro-focusing shadowgraphy measuring particle velocities in densely-seeded particle-laden flows

Zenodo (CERN European Organization for Nuclear Research)
Particle Dynamics in Fluid Flows
article

High-speed micro-focusing shadowgraphy measuring particle velocities in densely-seeded particle-laden flows

article en

Abstract

Abstract: High-speed micro-focusing shadowgraph velocimetry (µ-PSV) has been developed to measure particle velocity and concentration under high-loading conditions, with a particle volume fraction, Φv,p, of O(10−1) in the four-way coupling regime. A high-speed camera operating at 10 kHz, coupled with the earlier developed µ-PSV setup, is used to study the particle dynamics at the jet exit for an impulsively-seeded, particle-laden flow into an otherwise continuous jet in an isothermal lab-scale model of a drop-tube reactor. A spatial resolution of 3 µm/pixel and a narrow depth of field of approximately ± 0.3 mm can be achieved with the current configuration, resulting in 15 pairs of particle tracks for a single particle and up to around 35 particles identified in a single image view (2.9 mm × 3.8 mm). This benefits studies of detailed particle phenomena, such as inter-particle collision, particle clustering, and pairing, with high temporal and spatial resolution, as demonstrated. Both particle counting and image intensity have been found to be sensitive to Φv,p, which gives confidence to use this technique, despite further work being needed to resolve cluster motion and calibrate measurements of Φv,p for providing absolute values. The complex flow dynamics of this system, including an initial rapid rise, a plateau, and a zone of high variability in the velocity profile, have also been revealed. Keywords: Particle-laden jet, two-phase flow, shadowgraph, particle image/tracking velocimetry

Zenodo (CERN European Organization for Nuclear Research)
The University of Adelaide (AU)
Openalex Percentile: Top 54%
Particle Dynamics in Fluid Flows
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.