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
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