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

Luke Scime | Oak Ridge National Laboratory

Zackary Snow | Oak Ridge National Laboratory

Amir Ziabari | Oak Ridge National Laboratory

William Halsey | 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 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.

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
Continues (DOI): https://doi.org/10.13139/ORNLNCCS/2001412
Continues (DOI): https://doi.org/10.13139/ORNLNCCS/2001425
Cites (DOI): https://doi.org/10.3389/fmech.2021.767444

Details

DOI

https://doi.org/10.13139/ORNLNCCS/2008021

Release Date

October 18, 2023

Subject

36 MATERIALS SCIENCE, 97 MATHEMATICS AND COMPUTING

Keywords

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

Dataset

Dataset Type

SM Specialized Mix

Software

HDF5 file reader (ex. Python h5py package)

Cite This Dataset:

Scime, L., Snow, Z., Ziabari, A., Halsey, W., Joslin, C., Knapp, G., Coleman, J., Peles, A., Graham, S., Marquez Rossy, A., Duncan, R., Paquit, V. (2023). A Co-Registered In-Situ and Ex-Situ Dataset from a Laser Powder Bed Fusion Additive Manufacturing Process (Peregrine v2023-10). Oak Ridge National Laboratory. https://doi.org/10.13139/ORNLNCCS/2008021.

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.