Automatic melt pool recognition in X-ray radiography images from laser-molten Al alloy

Marc André Nielsen*, Johann Flemming Gloy, Dieter Lott, Tao Sun, Martin Müller, Peter Staron

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

Size and shape of the melt pool play an important role in the microstructure formation in materials additively manufactured by laser powder bed fusion (LPBF) techniques. It is an enormous challenge to determine them automatically in radiography image series taken during LPBF when the melt pool has a very low contrast to the surrounding base material. In this work, an approach solving this problem for Al alloys is presented. The melt pool is detected by a combination of different image processing methods and boundary conditions. The method developed in this work is demonstrated on high-speed radiography images taken at a synchrotron beamline during an in-situ LPBF experiment using an Al-Si alloy.

Original languageEnglish (US)
Pages (from-to)3502-3513
Number of pages12
JournalJournal of Materials Research and Technology
Volume21
DOIs
StatePublished - Nov 1 2022

Funding

The authors would like to thank the APS team, Drs. Cang Zhao and Kamel Fezzaa, for their great support on site. This research used resources of the Advanced Photon Source, a U.S. Department of Energy (DOE) Office of Science User Facility, operated for the DOE Office of Science by Argonne National Laboratory under Contract No. DE-AC02-06CH11357. Finally, we would like to thank the research group of Jozef Keckes from Leoben, Austria that the authors were allowed to perform microscopy of the samples in their labs.

Keywords

  • Al alloy
  • High-speed X-ray radiography
  • Image processing
  • Melt pool
  • Selective laser melting

ASJC Scopus subject areas

  • Ceramics and Composites
  • Biomaterials
  • Surfaces, Coatings and Films
  • Metals and Alloys

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