Form 9.B Project Summary



Proposal Number:


Project Title:

Advanced Prediction Tool for

Simulation of Turbomachinery Noise


Technical Abstract (Limit 200 words)

Serious concerns regarding the adverse

environmental impact of aircraft noise have led to

increasingly stringent regulations on the allowable

acoustic emissions from commercial transport

aircraft. To facilitate future growth in air

transportation while ensuring compliance with

international noise regulations, urgent attention to

noise prediction and reduction technologies is

required at this time. The perceived aircraft noise

levels during both takeoff and approach phases are

controlled by the turbomachinery noise, in

particular, its fan component. Here, an accurate yet

highly efficient numerical technique based on a

(high-order) computational aeroacoustics (CAA)

algorithm is proposed for simulating

turbomachinery noise. This approach is innovative

in tapping the potential of CAA to provide an

enhanced physical understanding of and integrated

prediction methodology for turbomachinery noise.

In addition to providing guidance and checks for

preliminary design tools, simulation tools of this

kind will minimize the overall design cycle time and

significantly enhance the competitiveness of U.S.

engine manufacturers in the global aviation market.

Potential Commercial Applications (Limit 200 words)

Turbomachinery design, engine noise reduction

technologies for subsonic commercial transports,

aerodynamic and aeroacoustic prediction, validation

of analytical prediction tools for turbomachinery

noise, computational electromagnetics, radar

detection and avoidance, wireless communications.

Name and Address of Principal Investigator (Name,

Organization Name, Mail Address, City/State/Zip)

Meelan M. Choudhari

High Technology Corporation

28 Research Drive

Hampton , VA 23666

Name and Address of Offeror (Firm Name, Mail Address,


Mujeeb R. Malik

High Technology Corporation

28 Research Drive

Hampton , VA 23666