Identification and Reduction of Turbomachinery Noise

Sponsor:
NASA Glenn Research Center

Collaborators:
Michigan State University
Purdue University

Propulsion noise significantly contributes to the overall noise near airports from low-flying aircraft during takeoff or landing. Understanding the propulsion noise of turbofan engines is crucial for improving the design. However, the noise generation mechanisms of a typical turbofan engine are complex. This project develops a generalized acoustic holography (GAH) system to handle aero-acoustic sources under steady-state and transient conditions. Key achievements include efficient methods for generating transfer matrices that link sources to sound pressure fields measured by surface-mounted microphones, innovative data filtering with de-noising techniques, and advanced regularization methods.