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Towards More Efficient Comprehensive Rotor Noise Simulation

Award Information

National Aeronautics and Space Administration
Award ID:
Program Year/Program:
2010 / SBIR
Agency Tracking Number:
Solicitation Year:
Solicitation Topic Code:
Solicitation Number:
Small Business Information
Cascade TechNologies, Inc.
2445 Faber Place Suite 100 Palo Alto, CA 94303-3347
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Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
Phase 1
Fiscal Year: 2010
Title: Towards More Efficient Comprehensive Rotor Noise Simulation
Agency: NASA
Contract: NNX10CC11P
Award Amount: $100,000.00


Rotorcraft design and optimization currently still rely largely on simplified (low-fidelity) models, such as rotor disk or wake models to reduce the turn-around time and allow exploration of a large parameter space. On the other hand, accurate noise prediction requires first principle, high fidelity simulations to capture small scales, highly unsteady aerodynamic sources of noise. This forces us to resort to component-wise acoustics computations, ignoring the fact that different components in the system affect each other in generating noise. The objective of this proposal is to develop high fidelity rotor noise simulation capabilities that allow multi-components noise prediction and exploration of a large parameter space inherent to design processes. The distinctive aspect of the present proposal is the use of a novel discretization method based on Adaptive Vorticity Confinement technique to counteract the numerical dissipation of the underlying spatial discretization scheme in a dynamic fashion. The concept has been proven successful in controlled flow setting, allowing direct comparison with analytical solution and laboratory experiment. The primary task in this project is to extend this concept to general flow and computational environment, focusing on Blade-Vortex Interaction noise prediction as initially targeted milestone.

Principal Investigator:

Bono Wasistho
Principal Investigator

Business Contact:

Shoreh A. Hajiloo
General Manager (Engineering)
Small Business Information at Submission:

CASCADE Technologies, Inc.
1330 Charleston Road Mountain View, CA 94043

EIN/Tax ID: 043353686
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No