Additive Manufacturing: Which DLA-Managed Legacy Parts are Potential AM Candidates?

Abstract

LMI and its supporting partners were able to build, demonstrate, and successfully test (using Military Service and DLA personnel) an Additive Manufacturing (AM) Prescreening Decision Support Process that can quickly parse the millions of DLA-managed Class IX legacy spare parts to manageable groups of items potentially amenable to AM. The process minimizes research time to determine whether AM may be suitable for particular legacy Class IX parts on the basis of part attributes, such as material specifications and criticality, and logistics attributes such as item cost. However, in the end, the potential candidates still require an individual engineering review to determine whether and how they can be produced using AM. The decision support process allowed service partners an opportunity to evaluate AM technology by identifying DLA parts that are potential candidates for production using AM. This process could enable the routine use of AM in parts selection and manufacture, creating new efficiencies throughout the services, and further speeding support to the warfighter.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 2016
Accession Number
AD1014552

Entities

People

  • Bruce J. Kaplan
  • Christopher B Williams
  • L. R. Pokorny
  • Thomas K. Parks
  • Timothy W. Simpson

Organizations

  • LMI

Tags

Communities of Interest

  • Human Systems
  • Weapons Technologies

DTIC Thesaurus Topics

  • Additive Manufacturing
  • Air Force Research Laboratories
  • Aluminum Alloys
  • Chemistry
  • Databases
  • Department Of Defense
  • Engineering
  • Fabrication
  • Governments
  • Logistics
  • Manufacturing
  • Materials
  • Materials Science
  • Standards
  • Supply Chain
  • Two Dimensional
  • Web Browsers

Readers

  • Defense Technology Research and Development.
  • Logistics and Supply Chain Management.
  • Software Engineering.