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Toolset for Prediction of Carbon-Carbon Properties Based on Constituent Materials and Manufacturing Process Parameters

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA8650-19-P-5063
Agency Tracking Number: F182-097-0075
Amount: $149,962.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: AF182-097
Solicitation Number: 18.2
Solicitation Year: 2018
Award Year: 2019
Award Start Date (Proposal Award Date): 2018-12-18
Award End Date (Contract End Date): 2019-12-18
Small Business Information
13290 Evening Creek Drive South Suite 250
San Diego, CA 92128
United States
DUNS: 133709001
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Shane Flores
 Senior Project Engineer
 (424) 277-5672
Business Contact
 Joshua Davis
Phone: (858) 480-2028
Research Institution

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 C-C components from knowledge of the composite constituents and manufacturing methods. To overcome these limitations, ATA Engineering, Inc., (ATA) proposes to develop a software framework to predict the response of C-C composites from manufacturing and processing parameters. The toolset will use informatics technology to define relationships between precursor composite materials and processing parameters and resulting physical and mechanical properties. The toolset will include a framework to link simulations that account for molecular interactions occurring during processing to simulations at increasingly larger length scales to ultimately predict composite properties. In Phase I, ATA will develop and test the toolset and perform preliminary validation using existing test data. In Phase II, ATA 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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