Skip to main content
U.S. flag

An official website of the United States government

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

Towards a Digital Thread and Data Package for Metals Additive Manufacturing

Published

Author(s)

Paul Witherell, Yan Lu, Shaw C. Feng, Duckbong Kim

Abstract

Additive manufacturing (AM) has been envisioned by many as the next industrial revolution. Potential benefits of AM include the production of low-volume, customized, complicated parts/products, supply chain efficiencies, shortened time-to-market, and environmental sustainability. Work remains, however, for AM to reach the status of a full production-ready technology. While the ability to create unique 3D geometries has been generally proven, some production challenges remain, including lacks of 1) data manageability through information management systems, 2) traceability to promote product producibility, process repeatability, and part-to-part reproducibility, and 3) accountability through mature certification and qualification methodologies. To address these challenges, this paper discusses the building of data models to support AM information analysis, identification, and data structure. We identify key attributes for producibility, process repeatability, and part-to-part reproducibility in an AM process. We propose conceptual data models to establish digital provenance in AM parts, a foundation on which future qualification and certification methodologies can be built.
Citation
Journal of ASTM International

Keywords

metals additive manufacturing, digital thread, repeatability, reproducibility

Citation

Witherell, P. , Lu, Y. , Feng, S. and Kim, D. (2017), Towards a Digital Thread and Data Package for Metals Additive Manufacturing, Journal of ASTM International (Accessed June 20, 2024)

Issues

If you have any questions about this publication or are having problems accessing it, please contact reflib@nist.gov.

Created March 5, 2017, Updated October 12, 2021