Skip to main content

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

  • Snow, Zackary | Oak Ridge National Laboratory
  • Haley, James | Oak Ridge National Laboratory
  • Leach, S. Clay | Oak Ridge National Laboratory
  • Halsey, William | Oak Ridge National Laboratory
  • Jordan, Brian | Oak Ridge National Laboratory
  • Rossy, Andres Marquez | Oak Ridge National Laboratory
  • Paquit, Vincent | Oak Ridge National Laboratory
Download dataset
Overview

Description

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.

Funding resources

DOE contract number

DE-AC05–00OR22725

Originating research organization

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)

Details

DOI

10.13139/OLCF/2446626

Release date

November 4, 2024

Dataset

Dataset type

SM Specialized Mix

Software

HDF5 file reader

Acknowledgements

Users should acknowledge the OLCF in all publications and presentations that speak to work performed on OLCF resources:

This research used resources of the Oak Ridge Leadership Computing Facility at the Oak Ridge National Laboratory, which is supported by the Office of Science of the U.S. Department of Energy under Contract No. DE-AC05-00OR22725.

Keywords

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