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

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

doi:10.1016/j.jmrt.2022.10.121

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

Journal Article · Tue Nov 01 00:00:00 EDT 2022 · Journal of Materials Research and Technology

DOI:https://doi.org/10.1016/j.jmrt.2022.10.121· OSTI ID:1959105

; Gloy, Johann Flemming;

;

; Müller, Martin; Staron, Peter

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.

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Research Organization:: Argonne National Laboratory (ANL), Argonne, IL (United States)

Sponsoring Organization:: USDOE Office of Science (SC), Basic Energy Sciences (BES)

Grant/Contract Number:: AC02-06CH11357

OSTI ID:: 1959105

Alternate ID(s):: OSTI ID: 1998245

Journal Information:: Journal of Materials Research and Technology, Journal Name: Journal of Materials Research and Technology Vol. 21 Journal Issue: C; ISSN 2238-7854

Publisher:: ElsevierCopyright Statement

Country of Publication:: Brazil

Language:: English

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36 MATERIALS SCIENCE
high-speed X-ray radiography
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image processing
melt pool
selective laser melting

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

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