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Toolset For Prediction of Carbon-Carbon Aeroshell Properties Based OnConstituent Materials And Manufacturing Process Parameters

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA8650-19-P-5196
Agency Tracking Number: F19A-021-0005
Amount: $149,910.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: AF19A-T021
Solicitation Number: 2019.1
Timeline
Solicitation Year: 2019
Award Year: 2019
Award Start Date (Proposal Award Date): 2019-08-05
Award End Date (Contract End Date): 2020-08-05
Small Business Information
13290 Evening Creek Drive South, San Diego, CA, 92128
DUNS: 133709001
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Carl Pray
 (703) 225-7437
 carl.pray@ata-e.com
Business Contact
 Joshua Davis
Phone: (858) 480-2028
Email: jdavis@ata-e.com
Research Institution
 Southwest Research Institute
 Steve Wall
 6220 Culebra Road
San Antonio, TX, 78238
 (210) 522-2081
 Domestic nonprofit research organization
Abstract
Carbon-carbon (C-C) composites are used in the fabrication of aeroshells and thermal protection systems (TPS) in hypersonic and atmospheric reentry applications because they maintain their strength at elevated temperatures and have desirable thermal conductivity properties. Although these materials have been used in mission-critical components for decades, the effects of variations in processing methods on overall performance of the composite are not fully understood, and it is currently not possible to predict the final physical and mechanical properties of 2D C-C components from knowledge of the composite constituents and manufacturing methods. To overcome these limitations, ATA Engineering, Inc., (ATA) and Southwest Research Institution (SwRI) propose to develop a software framework to predict the response of C-C composites for varying manufacturing and processing parameters. The toolset will use molecular dynamics techniques to make atomistic-scale material property predictions for varying manufacturing start materials, processes, and parameters. These predictions will be linked to microstructure-scale material properties using informatics technology techniques to define relationships between the atomistic and microstructure-scale properties. In Phase I, ATA/SwRI will develop and test the toolset and perform preliminary validation using existing test data. In Phase II, ATA/SwRI will refine the analysis toolset and execute a verification and validation program.

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

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