Software Environment for Mission Design, Simulation, and Engineering Data Management

Award Information
Agency: National Aeronautics and Space Administration
Branch: N/A
Contract: NNX09CC33P
Agency Tracking Number: 084942
Amount: $99,756.00
Phase: Phase I
Program: SBIR
Awards Year: 2009
Solicitation Year: 2008
Solicitation Topic Code: S4.02
Solicitation Number: N/A
Small Business Information
Phoenix Integration
1715 Pratt Drive, Suite 2000, Blacksburg, VA, 24060-6472
DUNS: 938911427
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Scott Ragon
 Principal Investigator
 (540) 961-7215
Business Contact
 Scott Ragon
Title: Director, Research
Phone: (540) 961-7215
Research Institution
As NASA designs and develops the next generation of scientific and space exploration vehicles and missions, there is a growing need for a robust, flexible, and easy-to-use software framework that NASA engineers can use to rapidly analyze, design, simulate, and evaluate competing vehicle and mission concepts. This need is particularly acute for small satellite design missions (such as Low-Cost Small Spacecraft and Technologies Missions) and other missions with small budgets and cost margins. In this project, Phoenix Integration will develop a software framework for flexibly meeting these needs. Working within the framework, NASA engineers will be able to flexibly assemble mission simulation models by choosing components from a custom library of reusable analysis modules. Once the system models are created, the framework will be capable of automatically executing these models, seamlessly transferring data from analysis to analysis as required. Mechanisms will be provided in the user interface that will allow engineers to archive important models, designs, data, and meta-data in an "Analysis Library" during the design process. This Analysis Library will be fully indexed and searchable, and will serve as a central information repository for facilitating communication and collaboration between team members, preserving important models, data, and knowledge for future reuse, and helping to capture design knowledge and document the decision making process.

* information listed above is at the time of submission.

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