Multimodal Defect Imaging of Pure Tungsten Components Fabricated via Electron Beam Powder Bed Fusion

  • Haozhi Zhang
  • , Paul Carriere
  • , Dan Schneberk
  • , Dylan Peverall
  • , Emmanuel Amoako
  • , Michael Sprayberry
  • , Timothy Horn

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

The utilization of additive manufacturing (AM) techniques for refractory materials in high-temperature environments has significantly expanded because of the ability to fabricate geometrically complex components. Electron beam powder bed fusion (EB-PBF), which provides lower residual stress, a cleaner vacuum environment, and better efficiency for high melting point, is one of the best-suited AM methods to produce advanced refractory components. However, the property variation attributed to the heterogeneous microstructure and process-induced defects has hindered the widespread adoption of EB-PBF-produced material like tungsten. While numerous in-situ monitoring and defect detection methods have been demonstrated for EB-PBF, a workflow that compares and evaluates process-induced abnormalities from different imaging perspectives is still limited. This study examines a feature-embedded tungsten component manufactured via the EB-PBF process to demonstrate the defect detection capabilities of a multimodal defect imaging workflow. The predefined and process-induced defects are evaluated by harnessing various imaging techniques, including in-situ electron imaging, layerwise near-infrared (NIR) imaging, post-build high-energy x-ray computed tomography (CT), and conventional destructive metallography. The results highlight the strengths and limitations of distinctive defect imaging techniques concerning specific defect types, sizes, and conditions. It was found that electron imaging can provide more abnormal detection capabilities while maintaining a higher measuring accuracy, against the conventional metallography in this case study, compared with NIR and CT imaging techniques.

Original languageEnglish
Pages (from-to)9140-9152
Number of pages13
JournalJournal of Materials Engineering and Performance
Volume34
Issue number10
DOIs
StatePublished - May 2025

Funding

The experiment and analysis were performed at the Center for Additive Manufacturing and Logistics (CAMAL) of North Carolina State University under DOE SBIR/STTR funding No. # DE-SC0021700. This work was performed in part at the Analytical Instrumentation Facility (AIF) at North Carolina State University, which is supported by the State of North Carolina and the National Science Foundation (award number ECCS-2025064). The AIF is a member of the North Carolina Research Triangle Nanotechnology Network (RTNN), a site in the National Nanotechnology Coordinated Infrastructure (NNCI). Thanks to Trevor McDonald for the insightful discussion on the electron imaging and data analysis, and Sourabh Saptarshi for the help on the metallurgical sample preparation.

Keywords

  • additive manufacturing
  • advanced characterization
  • in-situ monitoring
  • refractories

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