NASA Aircraft Engine Noise Prediction Software Portfolio

• Research teams at NASA’s Glenn Research Center develop specialized theory and software to predict and mitigate aircraft engine noise, aiding in the design of improved propulsion systems.
• All featured software can be requested through NASA’s Software Catalog.

Noise Prediction Codes

• JeNo: Uses Lilley’s Acoustic Analogy and RANS flow solutions to offer relatively fast, validated jet noise predictions for subsonic and low-supersonic jets.
• MGBK: Analyzes noise trends in complex exhaust nozzles, famously used to study the noise reduction benefits of chevrons.
• V072: A rapid, early-design-cycle tool for studying tone noise generated by rotor/stator interactions.
• TFaNS: Advances rotor/stator prediction by accounting for blade row acoustic coupling, transmission, and reflection effects.
• Linflux: Utilizes computational resources to analyze realistic 3-D flows and blade geometries beyond the reach of simpler models.
• BFANS: Calculates broadband noise from turbulence impinging on blade/vane leading edges using turbulence intensity and length scale inputs.
• RSI: Computes broadband noise spectra produced by the interaction between fan rotor wake turbulence and exit guide vanes.
• WOBBLE: Models propeller tone noise by accounting for unsteady loading due to aircraft pitch, yaw, and roll.
• MPT: Estimates 'buzz saw' noise caused by rotor-locked shocks during supersonic tip speeds, including manufacturing variation impacts.

Aerodynamic Analysis

• ADPAC: A flexible, validated Computational Fluid Dynamics (CFD) tool developed for analyzing internal and external flows through advanced short-duct turbofan engines.