Computational ElectroMagnetics Analysis Assistant (CEMAA)

Award Information
Agency:
Department of Defense
Branch
Army
Amount:
$716,662.00
Award Year:
2003
Program:
SBIR
Phase:
Phase II
Contract:
DAAB07-03-C-K012
Award Id:
58016
Agency Tracking Number:
A012-1095
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
3085 Woodman Drive, Suite 200, Dayton, OH, 45420
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
603299207
Principal Investigator:
MaryFricke
Software Architect
(937) 299-5999
mlf@spectra-research.com
Business Contact:
PaulZidek
President
(937) 299-5999
zidek@spectra-research.com
Research Institute:
n/a
Abstract
Simulation and Modeling for Acquisition Requirements and Training (SMART) is the U.S. Army's implementation of the DoD Simulation Based Acquisition (SBA) initiative. SMART's goal is to significantly reduce the time required to develop Future Combat Systems(FCS) from over 20 years to about 8 years through extensive use of M&S to rapidly analyze design changes. Composite materials will replace metals to manufacture some FSC vehicle structures. Because composite materials affect the propagation and scatteringof electromagnetic energy differently than metals, there is a growing need to rapidly analyze electromagnetic interactions between composite vehicle structures and vehicular mounted antennas. In order to support acquisition objectives, there is a need toimprove and integrate Computational Electromagnetic (CEM) M&S tools that can handle the large workload for FCS development. Spectra Research, Inc. (S*R) and Riverside Research Institute (RRI) propose to develop a CEM Analysis Assistant (CEMAA) thatintegrates/configures CEM codes, capable of handling composite materials, and guides the user through a CEM analysis. Our approach will leverage the Army's development of a M&S integration architecture, called the Collaborative Biome (CB). S*R isdeveloping an Analysis Information Portal (AIP) under an Integration Biome (iBiome) development which is part of the CB proof of concept.Application of the CEMAA will integrate Army CEM tools to provide the rapid response required to support DoD goals toreduce the cost and time required to develop FCS and train new people. As S*R is developing segments of the CB architecture, the CB investment will be leveraged to develop the CEMAA. This effort will also incorporate artificial intelligence capabilitiesinto the CB architecture, which will facilitate application of the CB within the Army and DoD as well as enhance its commercial potential.

* information listed above is at the time of submission.

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