A Computational Tool for Helicopter Rotor Noise Prediction

Award Information
Agency:
National Aeronautics and Space Administration
Branch
n/a
Amount:
$99,994.00
Award Year:
2011
Program:
SBIR
Phase:
Phase I
Contract:
NNX11CG83P
Agency Tracking Number:
104691
Solicitation Year:
2010
Solicitation Topic Code:
A2.09
Solicitation Number:
n/a
Small Business Information
D & P, LLC
3409 North 42nd Place, Phoenix, AZ, 85018-5961
Hubzone Owned:
N
Socially and Economically Disadvantaged:
Y
Woman Owned:
Y
Duns:
781820258
Principal Investigator:
Lei Tang
Principal Investigator
(602) 957-2868
tanglei@d-p-llc.com
Business Contact:
Lei Tang
President
(602) 957-2868
tanglei@d-p-llc.com
Research Institution:
n/a
Abstract
This SBIR project proposes to develop a computational tool for helicopter rotor noise prediction based on hybrid Cartesian grid/gridless approach. The uniqueness of this approach is to achieve fully automated grid generation without grid overlapping. As a result, the resulting software will enjoy great ease of use with minimum human interference. There is no grid distortion in the majority of the computational domain. One can apply the best available flow solver which may not be possible to use in the unstructured grid approach. All are important for achieving accurate prediction of helicopter rotor aerodynamics and near-field acoustics. In Phase I, the high-speed impulsive noise will be first investigated and in Phase II, the blade-vortex interaction noise will be further explored.

* information listed above is at the time of submission.

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