Building digital twins of 3D printing machines

T. DebRoy, W. Zhang, J. Turner, S. S. Babu

Research output: Contribution to journalArticlepeer-review

61 Scopus citations

Abstract

Geometrical conformity, microstructure and properties of additively manufactured (AM) components are affected by the desired geometry and many process variables within given machines. Building structurally sound parts with good mechanical properties by trial and error is time-consuming and expensive. Today's computationally-efficient, high-fidelity models can simulate the most important factors that affect the AM products' properties, and upon validation can serve as components of digital twins of 3D printing machines. Here we provide a perspective of the current status and research needs for the main building blocks of a first generation digital twin of AM from the viewpoints of researchers from several organizations.

Original languageEnglish (US)
Pages (from-to)119-124
Number of pages6
JournalScripta Materialia
Volume135
DOIs
StatePublished - Jul 1 2017

All Science Journal Classification (ASJC) codes

  • Materials Science(all)
  • Condensed Matter Physics
  • Mechanics of Materials
  • Mechanical Engineering
  • Metals and Alloys

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