Combined CFD-Stochastic Analysis of an Active Fluidic Injection System for Jet Noise Reduction
AbstractIn the framework of DANTE project (Development of Aero-Vibroacoustics Numerical and Technical Expertise), funded under the Italian Aerospace Research Program (PRORA), the prediction and reduction of noise from subsonic jets through the reconstruction of turbulent fields from Reynolds Averaged Navier Stokes (RANS) calculations are addressed. This approach, known as Stochastic Noise Generation and Radiation (SNGR), reconstructs the turbulent velocity fluctuations by RANS fields and calculates the source terms of Vortex Sound acoustic analogy. In the first part of this work, numerical and experimental jet-noise test cases have been reproduced by means RANS simulations and with different turbulence models in order to validate the approach for its subsequent use as a design tool. The noise spectra, predicted with SNGR, are in good agreement with both the experimental data and the results of Large-Eddy Simulations (LES). In the last part of this work, an active fluid injection technique, based on extractions from turbine and injections of high-pressure gas into the main stream of exhausts, has been proposed and finally assessed with the aim of reducing the jet-noise through the mixing and breaking of the turbulent eddies. Some tests have been carried out in order to set the best design parameters in terms of mass flow rate and injection velocity and to design the system functionalities. The SNGR method is, therefore, suitable to be used for the early design phase of jet-noise reduction technologies and a right combination of the fluid injection design parameters allows for a reduction of the jet-noise to 3.5 dB, as compared to the baseline case without injections. View Full-Text
Scifeed alert for new publicationsNever miss any articles matching your research from any publisher
- Get alerts for new papers matching your research
- Find out the new papers from selected authors
- Updated daily for 49'000+ journals and 6000+ publishers
- Define your Scifeed now
Barbarino, M.; Ilsami, M.; Tuccillo, R.; Federico, L. Combined CFD-Stochastic Analysis of an Active Fluidic Injection System for Jet Noise Reduction. Appl. Sci. 2017, 7, 623.
Barbarino M, Ilsami M, Tuccillo R, Federico L. Combined CFD-Stochastic Analysis of an Active Fluidic Injection System for Jet Noise Reduction. Applied Sciences. 2017; 7(6):623.Chicago/Turabian Style
Barbarino, Mattia; Ilsami, Mario; Tuccillo, Raffaele; Federico, Luigi. 2017. "Combined CFD-Stochastic Analysis of an Active Fluidic Injection System for Jet Noise Reduction." Appl. Sci. 7, no. 6: 623.
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.