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

  • 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
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Overview

Description

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.

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);Office of Energy Efficiency and Renewable Energy (EERE), Advanced Manufacturing Office (EE-5A)

Related Resources

Details

DOI

10.13139/ORNLNCCS/2001412

Release Date

September 28, 2023

Dataset

Dataset Type

SM Specialized Mix

Software

any software or programming language capable of reading HDF5 files, such as Python's h5py package

Acknowledgements

This work was carried out [in part] at Oak Ridge National Laboratory, managed by UT-Battelle, LLC for the U.S. Department of Energy under contract DE-AC05-00OR22725.

Category

  • 36 MATERIALS SCIENCE,
  • 97 MATHEMATICS AND COMPUTING

Keywords

  • Powder Bed Additive Manufacturing,
  • Image Segmentation,
  • In-Situ Process Monitoring,
  • X-Ray Computed Tomography