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An Additive Manufacturing Test Artifact.

Shawn Moylan1, John Slotwinski2, April Cooke3

  • 1National Institute of Standards and Technology, Gaithersburg, MD 20899.

Journal of Research of the National Institute of Standards and Technology
|November 25, 2015
PubMed
Summary
This summary is machine-generated.

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A new test artifact standardizes additive manufacturing (AM) system performance evaluation. This tool helps identify and fix AM system errors for improved manufacturing quality and reliability.

Area of Science:

  • Materials Science
  • Manufacturing Engineering
  • Metrology

Background:

  • Additive Manufacturing (AM) systems require standardized performance evaluation methods.
  • Existing AM test artifacts lack comprehensive characterization capabilities.
  • Machining test artifact experience informed the design of a novel AM artifact.

Purpose of the Study:

  • To propose a new test artifact for evaluating additive manufacturing (AM) system performance.
  • To enable detailed characterization of AM system capabilities and limitations.
  • To facilitate AM system improvement by linking errors to specific sources.

Main Methods:

  • Design of a novel test artifact based on prior research and machining experience.
  • Fabrication of the test artifact using multiple AM technologies and materials.
Keywords:
3D printingadditive manufacturingbenchmarkingperformance evaluationtest artifact

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  • Analysis of measurement results from various builds to demonstrate artifact utility.
  • Main Results:

    • The proposed test artifact successfully characterized AM system performance across different builds.
    • Specific measurement results were linked to identifiable sources of error within AM systems.
    • Demonstrated the artifact's capability to guide AM system improvements.

    Conclusions:

    • The developed test artifact provides a robust method for AM system standardization and evaluation.
    • The artifact enables targeted improvements in AM processes by identifying error origins.
    • This approach contributes to enhanced quality control and reliability in additive manufacturing.