Towards More Efficient Comprehensive Rotor Noise Simulation

Award Information
Agency: National Aeronautics and Space Administration
Branch: N/A
Contract: NNX10CC11P
Agency Tracking Number: 094955
Amount: $100,000.00
Phase: Phase I
Program: SBIR
Awards Year: 2010
Solicitation Year: 2009
Solicitation Topic Code: A2.09
Solicitation Number: N/A
Small Business Information
CASCADE Technologies, Inc.
1330 Charleston Road, Mountain View, CA, 94043-1331
DUNS: 179576715
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Bono Wasistho
 Principal Investigator
 (650) 691-6064
 wasistho@turbulentflow.com
Business Contact
 Shoreh Hajiloo
Title: General Manager (Engineering)
Phone: (650) 691-6067
Email: hajiloo@turbulentflow.com
Research Institution
N/A
Abstract
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.

* information listed above is at the time of submission.

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