A Co-Registered In-Situ and Ex-Situ Dataset from an Electron Beam Powder Bed Fusion Additive Manufacturing Process (Peregrine v2023-09)

10.13139/ORNLNCCS/2001412

This release contains a co-registered in-situ and ex-situ Peregrine dataset from a single Arcam Q10 Electron Beam Powder Bed Fusion (EB-PBF) Inconel 738 build. These data were collected at the Manufacturing Demonstration Facility (MDF) located at Oak Ridge National Laboratory (ORNL). The dataset includes layer-wise Near Infrared (NIR) in-situ imaging data, in-situ temporal sensor data, ex-situ X-Ray Computed Tomography (X-CT) scans, and the target part geometries. Additionally, anomaly detections produced by a trained 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: 2023-09-28 09:28:54 Download Dataset

Dataset Properties

Field Value
Authors
  • Scime, Luke Oak Ridge National Laboratory
  • Snow, Zackary Oak Ridge National Laboratory
  • Halsey, William Oak Ridge National Laboratory
  • Ziabari, Amir Oak Ridge National Laboratory
  • Joslin, Chase Oak Ridge National Laboratory
  • Lowe, Larry Oak Ridge National Laboratory
  • Duncan, Ryan Oak Ridge National Laboratory
  • Kirka, Michael 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
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

Acknowledgements

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

*Support for 10.13139/ORNLNCCS/2001412 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.