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A Computational Tool for Helicopter Rotor Noise Prediction

Award Information

Agency:
National Aeronautics and Space Administration
Branch:
N/A
Award ID:
Program Year/Program:
2011 / SBIR
Agency Tracking Number:
104691
Solicitation Year:
2010
Solicitation Topic Code:
A2.09
Solicitation Number:
Small Business Information
D&P, LLC
3409 North 42nd Place Phoenix, AZ 85018-5961
View profile »
Woman-Owned: Yes
Minority-Owned: Yes
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 2011
Title: A Computational Tool for Helicopter Rotor Noise Prediction
Agency: NASA
Contract: NNX11CG83P
Award Amount: $99,994.00
 

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.

Principal Investigator:

Lei Tang
Principal Investigator
6029572868
tanglei@d-p-llc.com

Business Contact:

Lei Tang
President
6029572868
tanglei@d-p-llc.com
Small Business Information at Submission:

D & P, LLC
3409 North 42nd Place Phoenix, AZ 85018-5961

EIN/Tax ID: 743185214
DUNS: N/A
Number of Employees:
Woman-Owned: Yes
Minority-Owned: Yes
HUBZone-Owned: No