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.
Funding Resources
DOE Contract Number
DE-AC05-00OR22725Originating 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/2008021Release Date
October 18, 2023Dataset
Dataset Type
SM Specialized MixSoftware
HDF5 file reader (ex. Python h5py package)Acknowledgements
Users should acknowledge the OLCF in all publications and presentations that speak to work performed on OLCF resources:
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,
- Tensile Testing