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

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

Overview

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. 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.

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

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

10.13139/ORNLNCCS/2008021

Release date

October 18, 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

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.

Keywords

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