Spatiotemporally Registered In-Situ and Ex-Situ Datasets for Laser-based Blown Powder Directed Energy Deposition

Dataset · Mon Nov 04 04:00:00 EST 2024

DOI:https://doi.org/10.13139/OLCF/2446626· OSTI ID:2446626

Snow, Zackary ^[1]; Haley, James; Leach, S. Clay; Halsey, William; Jordan, Brian; Rossy, Andres Marquez; Paquit, Vincent

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1. ORNL-OLCF

This dataset is comprised of in situ sensing data collected during laser-based, blown powder directed energy deposition (DED) of Inconel 718 representing eight different printing conditions: (1) nominal, (2) +15% scan speed, (3) +12% laser power, (4) +42% powder feed rate, (5) +100% jerk limit, (6) +10% layer height, (7) +20% hatch spacing, (8) +20% carrier gas flow. All eight DED builds constructed an identical test coupon geometry consisting of geometric features representative of industrial print requirements (e.g., bulk deposition, thin walls, overhangs). In situ data consists of xyz-coordinates (100 Hz) and on-axis melt pool camera video (60 Hz), both of which have been temporally synchronized to spatially map the melt pool camera data. In addition, post-build X-ray computed tomography (XCT) data for each of the eight test geometries have been spatially registered to the recorded xyz-coordinates, allowing for comparisons between melt pool camera data and flaws identified in the XCT data.

• Research Organization: Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States). Oak Ridge Leadership Computing Facility (OLCF); Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
• Sponsoring Organization: Office of Energy Efficiency and Renewable Energy (EERE), Advanced Manufacturing Office (EE-5A)
• DOE Contract Number: AC05-00OR22725
• OSTI ID: 2446626
• Country of Publication: United States
• Language: English

Related Subjects

additive manufacturing
directed energy deposition
in situ sensing
process monitoring
X-ray computed tomography