Integrated Network of Optimizations for Aircraft Systems

Award Information
Agency:
National Aeronautics and Space Administration
Amount:
$99,610.00
Program:
SBIR
Contract:
NNX10CC79P
Solitcitation Year:
2009
Solicitation Number:
N/A
Branch:
N/A
Award Year:
2010
Phase:
Phase I
Agency Tracking Number:
094636
Solicitation Topic Code:
A2.08
Small Business Information
Michigan Engineering Services, LLC
2890 Carpenter Road, Suite 1900, Ann Arbor, MI, 48108-1100
Hubzone Owned:
N
Woman Owned:
Y
Socially and Economically Disadvantaged:
N
Duns:
134722656
Principal Investigator
 Jim He
 Principal Investigator
 (734) 477-5710
 jim_he@miengsrv.com
Business Contact
 Nick Vlahopoulos
Title: Business Official
Phone: (734) 358-0792
Email: nv@miengsrv.com
Research Institution
N/A
Abstract
Aircraft design is a complex process requiring interactions and exchange of information among multiple disciplines such as aerodynamics, strength, fatigue, controls, propulsion, corrosion, maintenance, and manufacturing. A lot of attention has been paid during the past fifteen years in the Multi-disciplinary Design Optimization (MDO) nature of the aircraft design process. However, a consistent void in aircraft design is the ability to integrate high-fidelity computational capabilities from multiple disciplines within an organized MDO environment. Integrating high fidelity simulation technology (that has been developed over the years though significant investments) within a MDO environment will constitute a disruptive technological development in aircraft design. The ability to replace time consuming solvers with metamodels within the highly iterative environment of an integrated network of optimizations is critical for engaging high fidelity simulation tools in the MDO analysis of complex aircraft systems. Previous work completed by the proposing firm has demonstrated the feasibility of conducting such MDO analysis for an aircraft system, while considering outer mold line shape optimization and structural sizing simultaneously. Since the ability to create metamodels from results obtained at a number of sample points from the actual solvers is the key enabling factor for conducting the multi-discipline optimization analysis, the proposed project will use as foundation the existing metamodeling capability of the proposing firm and will pursue new research that will lead to the development of a powerful stand-alone commercial product for metamodel development. The latter, along with the proposing firm's MDO solver will provide the means for operating an integrated network of optimizations for designing aircraft systems.

* information listed above is at the time of submission.

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