A Co-Registered In-Situ and Ex-Situ Dataset from a Laser Powder Bed Fusion Additive Manufacturing Process (Peregrine v2023-10)

10.13139/ORNLNCCS/2008021

This release contains a co-registered in-situ and ex-situ Peregrine dataset from a single Concept Laser M2 Laser Powder Bed Fusion (L-PBF) stainless steel 316L build. These data were collected at the Manufacturing Demonstration Facility (MDF) located at Oak Ridge National Laboratory (ORNL). The dataset includes layer-wise visible-light in-situ imaging data, the laser scan paths and parameters, in-situ temporal sensor data, X-Ray Computed Tomography (X-CT) scans, pycnometry and tensile test results, etched micrographs from selected locations, and the target part geometries. Additionally, anomaly detections produced by a modified Dynamic Segmentation Convolutional Neural Network (DSCNN) are provided. To download the dataset: (1) Create a Globus account. (2) Create a Globus Endpoint on your computer. You may need to create an exception for Globus in your antivirus software so that it can create an Endpoint. (3) Transfer the dataset from the OLCF DOI-DOWNLOADS Collection to your Collection. Be sure to confirm that the transfer is going from OLCF DOI-DOWNLOADS to your Collection. (4) Sometimes users will need to manually create a Globus access directory (where the data will be downloaded) by going to the Preferences > Access tab before the download will begin.

Published: 2023-10-18 16:12:55 Download Dataset

Dataset Properties

Field Value
Authors
  • Scime, Luke Oak Ridge National Laboratory
  • Snow, Zackary Oak Ridge National Laboratory
  • Ziabari, Amir Oak Ridge National Laboratory
  • Halsey, William Oak Ridge National Laboratory
  • Joslin, Chase Oak Ridge National Laboratory
  • Knapp, Gerry Oak Ridge National Laboratory
  • Coleman, John Oak Ridge National Laboratory
  • Peles, Amra Oak Ridge National Laboratory
  • Graham, Sarah Oak Ridge National Laboratory
  • Marquez Rossy, Andres Oak Ridge National Laboratory
  • Duncan, Ryan Oak Ridge National Laboratory
  • Paquit, Vincent Oak Ridge National Laboratory
Project Identifier Peregrine
Dataset Type SM Specialized Mix
Subjects
  • 36 MATERIALS SCIENCE
  • 97 MATHEMATICS AND COMPUTING
Keywords
  • Powder Bed Additive Manufacturing
  • Image Segmentation
  • In-Situ Process Monitoring
  • X-Ray Computed Tomography
  • Tensile Testing
Software Needed any software or programming language capable of reading HDF5 files, such as Python's h5py package
Originating Organizations Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
Sponsoring Organizations Office of Energy Efficiency and Renewable Energy (EERE);Office of Energy Efficiency and Renewable Energy (EERE), Advanced Manufacturing Office (EE-5A)
DOE Contract DE-AC05-00OR22725
Related Identifiers
  • Cites (DOI) 10.1016/j.addma.2020.101453
  • Continues (DOI) 10.13139/ORNLNCCS/1779073
  • Continues (DOI) 10.13139/ORNLNCCS/1896716
  • Continues (DOI) 10.13139/ORNLNCCS/2001412
  • Continues (DOI) 10.13139/ORNLNCCS/2001425
  • Cites (DOI) 10.3389/fmech.2021.767444

Acknowledgements

Papers using this dataset are requested to include the following text in their acknowledgements:

*Support for 10.13139/ORNLNCCS/2008021 is provided by the U.S. Department of Energy, project Peregrine under Contract DE-AC05-00OR22725. This research used resources of the Oak Ridge Leadership Computing Facility, which is a DOE Office of Science User Facility.