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Updated: Oct 29, 2025

Three-dimensional Particle Tracking Velocimetry for Turbulence Applications: Case of a Jet Flow
Published on: February 27, 2016
Computational study on aeroacoustic fields of a transitional supersonic jet
Taku Nonomura1, Yuta Ozawa2, Yoshiaki Abe3
1Institute of Space and Astronautical Science, Japan Aerospace Exploration Agency, Sagamihara, Kanagawa 252-5210, Japan.
Computational fluid dynamics simulations reveal that thinner shear layers or added disturbances reduce turbulent fluctuations and Mach wave intensity in supersonic jets. This leads to a modest 5 dB sound pressure level increase, unlike subsonic jets.
Area of Science:
- Computational fluid dynamics
- Aeroacoustics
- Turbulence research
Background:
- Supersonic jets generate noise through complex flow phenomena.
- Understanding transitional flow regimes is crucial for noise reduction.
- Previous studies often focused on subsonic jets, with less data on supersonic transitional conditions.
Purpose of the Study:
- To computationally investigate the aeroacoustic fields of supersonic free jets under transitional conditions.
- To analyze the effects of shear layer thickness and disturbances on jet noise.
- To compare noise generation mechanisms in supersonic versus subsonic jets.
Main Methods:
- Employed large-eddy simulations (LES) for computational fluid dynamics.
- Investigated supersonic jets at Mach 2.1 and Reynolds number 70,000.
- Varied shear layer thickness and introduced disturbances for comparative analysis.
Main Results:
- Shear layer thickness and disturbances significantly impact transition position and turbulence intensity.
- Decreasing shear layer thickness or adding disturbances attenuates turbulent fluctuations and Mach wave intensity.
- Observed a 5 dB increase in sound pressure level, lower than in subsonic jets.
Conclusions:
- The transition process in supersonic jets, driven by spiral modes, differs from the axisymmetric modes in subsonic jets.
- This difference explains the lower sound pressure level increase in supersonic jets.
- Linear stability analysis, proper orthogonal decomposition, and vortex structure visualization confirm the findings.
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