Ricardo Moreno Benavides

PhD Thesis

Jet-noise Diagnostics with Massive Acoustic Camera

Supervisors

Marco Raiola (UC3M) & Luis Azpicueta (UC3M, Signal Theory and Communication Department)

Abstract

Aircraft noise remains a critical environmental challenge, particularly with the projected rise in global air traffic. Among the various noise sources, turbulent jet noise generated by the exhaust of modern turbofan engines constitutes a dominant component, requiring advanced diagnostic approaches for its mitigation. This thesis addresses the development and application of a novel acoustic diagnostic tool designed for high-resolution jet-noise characterization. This research has been conducted within the framework of both the JAMAICAM and INFLUENTIA projects, which aim to construct massive acoustic camera using low-cost MEMS microphones and developing AI tools to map acoustic measurements with flow particle observations, respectively. The modular acquisition system, called MxArray, is optimized for jet-noise studies and has been validated in controlled laboratory experiments, demonstrating its synchronization, scalability, and capability to analyze sound emission mechanisms in turbulent jets. The outcomes contribute to the broader objective of enabling effective noise-reduction strategies for future aircraft engine designs.

Doctoral Meetings