Vortex–Particle Coupling of Polydisperse Microparticles in Supersonic Transverse Jets

Understanding the spatiotemporal evolution and vortex–particle coupling mechanisms of polydisperse microparticles in supersonic transverse jets is a fundamental challenge in aerospace propulsion systems. This study uses a Mach 2.6 supersonic direct-connect experimental platform with a total temperature of [Formula: see text] and a velocity of [Formula: see text]. This platform is integrated with high-speed planar laser scattering and high-speed shadowgraph imaging. This setup is used to elucidate the dynamic behaviors of polydisperse microparticles (ranging in size from 0.1 to [Formula: see text]) in supersonic transverse jets. Experimental results show that the particle clusters form three quasi-coherent distribution patterns sequentially along the jet trajectory: a fluctuating distribution on the windward side, a trailing distribution on the leeward side, and a roller-type distribution near the injection wall. Analysis based on proper orthogonal decomposition shows that shear layer instability dominates the particle dispersion process, exhibiting multiscale transfer characteristics. The study points out that the particle distribution pattern is essentially a spatiotemporal representation of their clustering behavior during the dynamic evolution of the large-scale roller-type vortex. The degree to which the particle response time matches the vortex timescale (i.e., the Stokes number) determines the clustering pattern. These findings provide critical experimental insights into particle-laden dynamics within supersonic multiphase flows.

Authors

Institutions

Publication Details

Journal
AIAA Journal
Published
2025-11-05
DOI
https://doi.org/10.2514/1.j065860
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

Vortex–Particle Coupling of Polydisperse Microparticles in Supersonic Transverse Jets

Zhixun Xia, Pengnian Yang, Yifan Duan, Likun Ma et al.
AIAA Journal
Particle Dynamics in Fluid Flows
article

Vortex–Particle Coupling of Polydisperse Microparticles in Supersonic Transverse Jets

Zhixun Xia, Pengnian Yang, Yifan Duan, Likun Ma, Yunchao Feng, Xinyuan Chen, Binbin Chen
article en

Abstract

Understanding the spatiotemporal evolution and vortex–particle coupling mechanisms of polydisperse microparticles in supersonic transverse jets is a fundamental challenge in aerospace propulsion systems. This study uses a Mach 2.6 supersonic direct-connect experimental platform with a total temperature of [Formula: see text] and a velocity of [Formula: see text]. This platform is integrated with high-speed planar laser scattering and high-speed shadowgraph imaging. This setup is used to elucidate the dynamic behaviors of polydisperse microparticles (ranging in size from 0.1 to [Formula: see text]) in supersonic transverse jets. Experimental results show that the particle clusters form three quasi-coherent distribution patterns sequentially along the jet trajectory: a fluctuating distribution on the windward side, a trailing distribution on the leeward side, and a roller-type distribution near the injection wall. Analysis based on proper orthogonal decomposition shows that shear layer instability dominates the particle dispersion process, exhibiting multiscale transfer characteristics. The study points out that the particle distribution pattern is essentially a spatiotemporal representation of their clustering behavior during the dynamic evolution of the large-scale roller-type vortex. The degree to which the particle response time matches the vortex timescale (i.e., the Stokes number) determines the clustering pattern. These findings provide critical experimental insights into particle-laden dynamics within supersonic multiphase flows.

AIAA Journal
National University of Defense Technology (CN)
Openalex Percentile: Top 59%
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.

Vortex–Particle Coupling of Polydisperse Microparticles in Supersonic Transverse Jets — Zhixun Xia, Pengnian Yang, et al. · AIAA Journal (2025) | TGRS Research Map | TGRS