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Coupled Viscous Vortex Particle Method and Unstructured CFD Solver for…

Award Information

Department of Defense
Award ID:
Program Year/Program:
2010 / STTR
Agency Tracking Number:
Solicitation Year:
Solicitation Topic Code:
Solicitation Number:
Small Business Information
Advanced Rotorcraft Technology, Inc.
1330 Charleston Rd Mountain View, CA -
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Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
Phase 2
Fiscal Year: 2010
Title: Coupled Viscous Vortex Particle Method and Unstructured CFD Solver for Rotorcraft Aerodynamic Interaction Modeling
Agency / Branch: DOD / NAVY
Contract: N68335-10-C-0382
Award Amount: $749,997.00


The rotorcraft aerodynamic interaction is a complicated problem and remains an extremely challenging aspect of rotorcraft analysis. This STTR is dedicated to developing a solution for the complicated rotorcraft aerodynamic interaction problem. The Phase I research coupled a state-of-the-art vortex particle method (VPM) with an unstructured Navier-Stokes CFD body surface solver and prototyped a hybrid solver for the complicated rotor/fuselage interaction problem. The hybrid solver successfully demonstrated an accurate solution for the prediction of the unsteady flow field of the rotor wake and the unsteady pressure over the fuselage surface due to the interacting rotor wake effect. Phase II will aim at a full development of the methodology and emphasize the application of the advanced hybrid tool for solving the complicated rotorcraft aerodynamic interaction problems. Phase II will further enhance the methodology, develop a standard flow solver coupling utility, and fully implement the hybrid methodology. Phase II will also evaluate the hybrid solution and compare the results with wind tunnel and flight test measurements to substantiate the hybrid modeling and analysis tool.

Principal Investigator:

Chengjian He
Vice President of Researc
(408) 523-5100

Business Contact:

Donna Carrig
Vice President of Finance
(408) 523-5123
Small Business Information at Submission:

Advanced Rotorcraft Technology, Inc.
635 Vaqueros Avenue Sunnyvale, CA -

EIN/Tax ID: 942839639
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
Research Institution Information:
Rensselaer Polytechnic Institute
Research Adminstration
110 8th Street
Troy, NY 12180, NY 12180-
Contact: Angela Stark
Contact Phone: (518) 276-6169