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Accession Number:

AD1122223

Title:

Path to Improving Data Science for Materials in Extreme Environments

Author(s):

• Swallow, Jessica G.

Author Organization(s):

• INSTITUTE FOR DEFENSE ANALYSES ALEXANDRIA VA

Report Date:

2019-08-01

Abstract:

During regular service life, many U.S. military systems are exposed to extreme environments, including high or low temperatures, corrosive environments, radiation, and high strain rates. These environments can affect a materials composition and microstructure, causing changes in material strength or toughness. For example, long-term operation of turbine blades in a marine environment results in corrosion of the blades, while extreme temperatures generated by atmospheric drag limit a hypersonic systems performance. Designing, modeling, and managing materials for extreme environments play a direct role in determining lifetime, reliability, maintenance, and performance specifications for Department of Defense (DoD) systems. Through review of published literature, interviews with researchers and materials testing experts in government laboratories, and case studies on limited sets of experimental data, IDA found that access to data and data analytics tools could help the DoD solve some of its critical material design problems. Although materials databases, repositories, registries, and analysis tools exist today in open-source formats, DoD researchers struggle to use them because of lack of awareness, availability, or access. Existing databases that can assist materials scientists have limited processing information, unclear descriptions of database content, and insufficient microstructure information and other metadata. Existing approval processes, publication goals, and intellectual property rules prove to be disincentives to releasing data. Right now government materials data storage, maintenance, and publication is ad hoc and institutional support for curating, storing, and maintaining materials data is lacking.

Document Type:

Conference:

Journal:

Pages:

2

File Size:

0.52MB

Contracts:

Grants:

Descriptors:

• department of defense
• materials
• data science
• materials testing
• best practices
• environment
• governments
• high temperature
• low temperature
• professional associations
• storage
• barrier coatings
• case studies
• data management
• databases
• experimental data
• intellectual property
• strain rate
• turbine blades
• availability

Identifiers:

• extreme environments
• dod (department of defense)
• statistical learning approaches

SubjectCategory:

• Behavioral and Social Sciences
• Materials

Distribution Statement:

Approved For Public Release

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