Jet-noise Diagnostics with Massive Acoustic Camera – JAMAICAM
JAMAICAM will develop a massive low-cost acoustic camara for analyzing the noise produced by turbulent jetsJet-noise Diagnostics with Massive Acoustic Camera – JAMAICAM
JAMAICAM will develop a massive low-cost acoustic camara for analyzing the noise produced by turbulent jets

Project Summary
The reduction of noise represents one of the main challenges in the design of future aircraft. In 2019, right before the COVID-19 pandemic, 3.2 million of European citizens were exposed to aircraft noise levels surpassing Lden noise levels of 55 dB, while 1.3 million people were exposed to more than 50 daily aircraft noise events above 70 dB, according to EASA. This figure is expected to keep growing with the constant increase in air traffic. Quieter design solutions are demanded to reduce the impact of a constantly increasing volume in civil air traffic in terms of acoustic pollution.
The turbulent jet noise, produced by the exhaust gases produced from modern turbofan engines, is one of the loudest contributions for civil airliners and one of the main targets for noise reduction. A possible strategy for its reduction requires control of the interplay between turbulent structures in the shear layer, which are the ultimate responsible for this noise source.
If jet-noise control is sought, experimental diagnostic tools which can provide extensive information about how and where sound is emitted. Acoustic camaras, i.e. microphone arrays using beamforming algorithms for noise source localization, represent the most efficient tool to this scope, but their diagnostic capabilities can be affected by the limited number of sensors used due to cost constraints.
The scope of the project JAMAICAM is to implement a microphone array deploying a massive number of low-cost MEMS sensors, specifically designed for jet-noise studies.
The study will investigate the best design options in terms of sensors used, their position, and the most streamlined acquisition system, as well the related beamforming algorithms for noise localization. The acoustic camara will be deployed in lab-scale jet control experiments to test its capabilities.
JAMAICAM in a nutshell
Title: Jet-noise Diagnostics with Massive Acoustic Camera
Goal: to develop and test a low-cost a massive acoustic camara based on MEMS microphone for the study of turbulent jet noise.
Duration: 33 months (01/12/2022 – 30/08/2025)
Budget: 187.910,00 €
Grant No TED2021-131453B-I00), funded by MCIN/AEI/ 10.13039/501100011033 and by the “European Union NextGenerationEU/PRTR”


Team

Marco Raiola
Associate Professor
Principal Investigator

Luis Antonio Azpicueta Ruiz
Associate Professor
Principal Investigator

Daniel de la Prida Caballero
Assistant Professor (UPM)

Manuel Garcia-Villalba Navaridas
Full Professor (TU Wien)

Jonathan Ricardo Moreno Benavides
PhD student
Results
Conference Contributions
Moreno, J. R., Ortigoso-Narro, J., Raiola, M., De la Prida, D. & Azpicueta-Ruiz, L. A. Characterization of Planar Circular and Square MEMS Microphone Arrays for Low-Power Acoustic Applications. Forum Acusticum Euronoise 2025, Malaga, Spain, June 22-27, 2025.
Ortigoso-Narro, J., Moreno, J. R. , De la Prida, D., Raiola, M. & Azpicueta-Ruiz, L. A. Microphone module for a massive acoustic camera. XIII Iberian Congress of Acoustics, XLV Spanish Congress of Acoustics, TECNIACÚSTICA 2024, Faro, Portugal, September 11-13, 2024
Moreno, J. R., Franceschelli, L., De la Prida, D., Azpicueta-Ruiz, L. A., & Raiola, M. (2024). Implementation of a Jet Collector and Dissipation Cavity into a Closed Anechoic Chamber for Jet Noise Studies. 30th AIAA/CEAS Aeroacoustics Conference , Rome, Italy, June 4-7, 2024.
Raiola, M., & Kriegseis, J. (2024). Jet Noise Line Sources Extraction from Particle Image Velocimetry Data Using Hilbert Proper Orthogonal Decomposition. 30th AIAA/CEAS Aeroacoustics Conference , Rome, Italy, June 4-7, 2024.
Outreach Activities
R. Moreno, Aeroacústica y análisis de chorros turbulentos en cámara anecoica”, European Researchers Night, 2024, Madrid, September 27
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