Identification and Reduction of Turbomachinery Noise

Award Information
Agency:
National Aeronautics and Space Administration
Branch
n/a
Amount:
$599,647.00
Award Year:
2007
Program:
SBIR
Phase:
Phase II
Contract:
NNC07CA07C
Award Id:
77525
Agency Tracking Number:
054412
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
3830 Packard, Suite 110, Ann Arbor, MI, 48108
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
136770703
Principal Investigator:
S.Raveendra
Principal Investigator
(734) 973-1600
rraveendra@cometacoustics.com
Business Contact:
SathaRaveendra
Business Official
(734) 973-1600
rraveendra@cometacoustics.com
Research Institute:
n/a
Abstract
Communities near airports are often exposed to high noise levels due to low flying aircraft in the takeoff and landing phases of flight. Propulsion source noise is the major contributor to the overall noise level. The noise generation mechanisms for a typical turbofan engine are complicated, which makes it a significant challenge to identify the noise sources. Each engine component, such as fan, compressor and turbine, can generate both broadband and narrowband noise. Particularly, the fan noise, more specifically the interaction of the rotor with the downstream stator, is important due to the trend towards the development of civil aircraft turbofan engines with higher and higher by pass ratios. Nearfield acoustical holography (NAH) refers to a process by which the noise sources and the resulting sound field can be reconstructed based on sound pressure measurements taken on a surface in the neighborhood of these sources. Thus, the development and application of appropriate generalized acoustical holography (GAH) system by extending NAH to handle arbitrary geometry and complex noise sources, novel measurement and data processing methods, and innovative inversion and regularization techniques will conceptually allow the identification and ranking of complex turbomachinery noise sources that are otherwise difficult to characterize. This system will also enable the use of more effective active and/or passive noise control measures by providing useful information that is impossible to obtain by direct measurements.

* information listed above is at the time of submission.

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