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Appl. Sci. 2017, 7(6), 623; doi:10.3390/app7060623

Combined CFD-Stochastic Analysis of an Active Fluidic Injection System for Jet Noise Reduction

Department of Air Transport Environmental Impact, Italian Aerospace Research Center (CIRA), 81043 Capua, Italy
Department of Industrial Engineering, University of Naples “Federico II”, 80138 Naples, Italy
Author to whom correspondence should be addressed.
Academic Editor: Dimitrios G. Aggelis
Received: 3 May 2017 / Revised: 13 June 2017 / Accepted: 14 June 2017 / Published: 16 June 2017


In 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
Keywords: jet-noise; stochastic noise generation and radiation; Reynolds Averaged Navier Stokes; Large Eddy Simulations jet-noise; stochastic noise generation and radiation; Reynolds Averaged Navier Stokes; Large Eddy Simulations

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

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.

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