Path to Improving Data Science for Materials in Extreme Environments

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.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 2019
Accession Number
AD1122223

Entities

People

  • Jessica G. Swallow

Organizations

  • Institute for Defense Analyses

Tags

DTIC Thesaurus Topics

  • Availability
  • Barrier Coatings
  • Best Practices
  • Case Studies
  • Data Analysis
  • Data Management
  • Data Science
  • Data Storage Systems
  • Databases
  • Department Of Defense
  • Environment
  • Experimental Data
  • Extreme Environments
  • Governments
  • High Temperature
  • Intellectual Property
  • Low Temperature
  • Materials
  • Materials Testing
  • Professional Associations
  • Storage
  • Strain Rate
  • Turbine Blades

Readers

  • Distributed Systems and Data Platform Development
  • Economics
  • Library and Information Science

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy
  • Hypersonics