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Store Trajectory Response to Unsteady Aerodynamic Loads

Award Information

Agency:
Department of Defense
Branch:
Air Force
Award ID:
86683
Program Year/Program:
2009 / SBIR
Agency Tracking Number:
F073-086-1345
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
M4 Engineering, Inc.
4020 Long Beach Blvd 2nd Floor Long Beach, CA 90807
View profile »
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 2
Fiscal Year: 2009
Title: Store Trajectory Response to Unsteady Aerodynamic Loads
Agency / Branch: DOD / USAF
Contract: FA8650-09-C-3905
Award Amount: $749,600.00
 

Abstract:

M4 Engineering proposes enhance the Phase I method for predicting store trajectory response subject to unsteady aerodynamic loads. This method combines low-fidelity data with high-fidelity data in a novel way to represent the deterministic and probabilistic portions of the unsteady aerodynamic response. This development enables increased efficiency in the use of test and time-accurate Computational Fluid Dynamics (CFD) data allowing for more accurate simulations to be calculated using fewer resources. This technique will be an excellent compliment to modern test and analysis methods. BENEFIT: Demand for a store separation analysis tool that considers unsteady aerodynamic effects has existed for a considerable time. RUSAT will satisfy this demand with a tool that is not only technically capable and computationally inexpensive, but is easy to understand and use. The variable fidelity coupled analyses in the proposed effort will allow accurate and rapid prediction of the overall performance in order to avoid unpleasant "surprises" during vehicle development and testing. Satisfying this existing demand will provides a tremendous commercial potential for RUSAT. In addition to store separation applications, the technologies of the RUSAT System could be valuable to other aircraft systems subjected to unsteady aerodynamic effects such as aeroelasticity. Additionally, this system poses modules that are of use to any program where reduced order modeling or stochastic simulation is important. The interest we have received from industry and other government sources indicates that there is a large potential for follow-on research and development activities, and this project has a high potential of reaching Phase III.

Principal Investigator:

Kevin Roughen
Vice President of Enginee
5629817797
kevin.roughen@m4-engineering.com

Business Contact:

Myles Baker
CEO
5629817797
myles.baker@m4-engineering.com
Small Business Information at Submission:

M4 ENGINEERING, INC.
2161 Gundry Avenue Signal Hill, CA 90755

EIN/Tax ID: 020539482
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No