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Multi-Disciplinary Analysis and Optimization of Integrated Spacecraft System Models

Award Information
Agency: National Aeronautics and Space Administration
Branch: N/A
Contract: NNX15CP72P
Agency Tracking Number: 150149
Amount: $121,549.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: T11.02
Solicitation Number: N/A
Timeline
Solicitation Year: 2015
Award Year: 2015
Award Start Date (Proposal Award Date): 2015-06-17
Award End Date (Contract End Date): 2016-06-17
Small Business Information
4020 Long Beach Boulevard
Long Beach, CA 90807-2683
United States
DUNS: 133626544
HUBZone Owned: No
Woman Owned: Yes
Socially and Economically Disadvantaged: No
Principal Investigator
 Tyler Winter
 Senior Engineer
 (562) 981-7797
 twinter@m4-engineering.com
Business Contact
 Kevin Roughen
Title: Business Official
Phone: (562) 981-7797
Email: kroughen@m4-engineering.com
Research Institution
 Missouri University of Science and Technology
 Henry Pernicka
 
202 Centennial Hall, 300 West 12th St
Rolla, MO 65409-1330
United States

 (573) 341-6749
 Domestic Nonprofit Research Organization
Abstract

M4 Engineering and Missouri S&T propose to investigate the viability of creating a multidisciplinary analysis and optimization architecture for analyzing spacecraft system models. The current approach will utilize commercial off-the-shelf (COTS) software to alleviate acquisition hurdles for NASA (and public) technical monitors/reviewers. Next, a preliminary set of analysis modules will be developed including a CAD-based Geometry component capable of generating parametric geometry. Once the analysis modules are completed, integration within the OpenMDAO framework will commence. The MDAO tool will be developed to address the issues of being generic and scalable to larger spacecraft systems. Validation of the modules and the prototype tool will be carried out by constructing model problems to test various capabilities as well as a complete spacecraft system demonstration application with optimization of integrated multidisciplinary performance models.

* Information listed above is at the time of submission. *

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