NASA's Glenn Research Center has developed a suite of noise-prediction software for aircraft engines, available via the NASA Software Catalog, to aid in designing quieter propulsion systems.
01Summary
- 01JeNo predicts jet noise using Lilley's Acoustic Analogy and RANS-based mean flow solutions, validated for subsonic and low supersonic axisymmetric jets.
- 02MGBK code was used to analyse noise reduction benefits of chevrons on turbofan nozzles, now common on commercial aircraft.
- 03V072, TFaNS, and Linflux predict rotor/stator interaction tone noise, with Linflux modelling realistic 3-D flows and blade geometries.
- 04BFANS and RSI calculate broadband noise from turbulence impinging on fan blades and vanes, using experimental data from NASA's 9'x15' Low Speed Wind Tunnel.
- 05WOBBLE computes propeller tone noise from varying inflow angles, and MPT estimates 'buzz saw' noise from supersonic fan blade tip speeds.
02Why it matters
This software enables engineers to design quieter aircraft engines, reducing noise pollution around airports and improving community relations.
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