Abstract
The chevron nozzle continues to remain a popular approach to reducing jet noise, which works by breaking up the turbulence structures at all scales. As indicated in Figure 1, high frequency sound waves are produced by the fine-scale turbulence structures and are emitted at a larger angle from the jet axis than low frequency waves meaning they are the greatest risk to health for airfield employees.
High frequency noise can be studied using ray theory, and here a previously developed high frequency ray tracing approach was applied to the case of a chevron with multiple lobes. The aim was to numerically evaluate the scaled Green’s function to see how it was affected by increasing the number of lobes, and see how this could reduce jet noise.
High frequency noise can be studied using ray theory, and here a previously developed high frequency ray tracing approach was applied to the case of a chevron with multiple lobes. The aim was to numerically evaluate the scaled Green’s function to see how it was affected by increasing the number of lobes, and see how this could reduce jet noise.
Original language | English |
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Number of pages | 1 |
Publication status | Published - 30 May 2019 |
Event | The 32nd Scottish Fluid Mechanics Meeting - University of Dundee, School of Science and Engineering , Dundee, United Kingdom Duration: 30 May 2019 → 30 May 2019 https://sites.dundee.ac.uk/sfmm-2019/ |
Conference
Conference | The 32nd Scottish Fluid Mechanics Meeting |
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Abbreviated title | SFMM |
Country/Territory | United Kingdom |
City | Dundee |
Period | 30/05/19 → 30/05/19 |
Internet address |
Keywords
- ray tracing
- Green's function methods
- parallel computing