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

Luke Scime | Oak Ridge National Laboratory

Zackary Snow | Oak Ridge National Laboratory

William Halsey | Oak Ridge National Laboratory

Amir Ziabari | Oak Ridge National Laboratory

Chase Joslin | Oak Ridge National Laboratory

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 Information

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 Works

Cites (DOI): https://doi.org/10.1016/j.addma.2020.101453
Continues (DOI): https://doi.org/10.13139/ORNLNCCS/1779073
Continues (DOI): https://doi.org/10.13139/ORNLNCCS/1896716

Details

DOI

https://doi.org/10.13139/ORNLNCCS/2001412

Release Date

September 28, 2023

Subject

36 MATERIALS SCIENCE, 97 MATHEMATICS AND COMPUTING

Keywords

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

Dataset

Dataset Type

SM Specialized Mix

Software

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

Cite This Dataset:

Scime, L., Snow, Z., Halsey, W., Ziabari, A., Joslin, C., Lowe, L., Duncan, R., Kirka, M., Paquit, V. (2023). A Co-Registered In-Situ and Ex-Situ Dataset from an Electron Beam Powder Bed Fusion Additive Manufacturing Process (Peregrine v2023-09). Oak Ridge National Laboratory. https://doi.org/10.13139/ORNLNCCS/2001412.

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.