NASA Glenn Research Center

Fundamental Noise Project

 

 

 

 

 

 

 

 

 

Project Objectives

The Fundamental Noise Project will improve upon current state-of-the-art technology for low noise aircraft engines. This work encompasses both experimental research and development of computational algorithms that will lead to aeroacoustic design tools with increased accuracy and computational efficiency. The project will ultimately deliver new approaches for low noise aircraft engines and the analytical tools that are used to develop them.

The technical challenges of the Fundamental Noise Project are to:

  1. Develop the next generation of computational aeroacoustic algorithms for fan and jet noise prediction, and
  2. Demonstrate the ability to use active noise reduction techniques to reduce fan broadband noise in the GRC Active Noise Control Fan (ANCF) facility.

 

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Technical Summary

The goal of the Fundamental Noise Project is to develop and demonstrate high risk, high payoff aircraft engine noise reduction technologies. As these technologies mature to the point that the feasibility and benefit of incorporating them into an actual engine system can be assessed, those technologies that show the potential for producing a significant noise reduction benefit in an actual engine application will be transferred to NASA focused programs, such as the Quiet Aircraft Technology Program or the Ultra Efficient Engine Technology Program, for further development and demonstration at higher Technology Readiness Levels. The current technical focus of the Fundamental Noise Project is on the development of Computational Aeroacoustics Algorithms for prediction of engine noise and on the development of Active Noise Control methods to reduce fan broadband noise.

To accomplish this, the Fundamental Noise project uses the following in-house facilities:

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Milestones

Milestone Output Outcome
FN-1.0 Demonstrate increased accuracy and computational efficiency of new CAA algorithms (9/05) A report documenting the accuracy and efficiency of the new fan and jet noise algorithms as determined by analysis of a series of benchmark CAA problems. New analytical design tools will be available to predict engine noise.
FN-1.1 Demonstrate new jet noise algorithm on benchmark CAA problems. (09/05) A report documenting the accuracy and efficiency of the new jet noise algorithm as determined by analysis of a series of benchmark CAA problems. New analytical design tools will be available to predict jet noise.
FN-1.2 Demonstrate new fan noise algorithm on benchmark CAA problems. (09/05) A report documenting the accuracy and efficiency of the new fan noise algorithm as determined by analysis of a series of benchmark CAA problems. New analytical design tools will be available to predict fan noise.
FN-2.0 Demonstrate effectiveness of Active Noise Control methods (9/05) A report describing the effectiveness of active noise control approaches in reducing fan noise in the ANCF test rig A series of experimentally validated active noise control techniques with documented effectiveness in reducing fan noise.

 

 

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