Layer-wise Imaging Dataset from Powder Bed Additive Manufacturing Processes for Machine Learning Applications (Peregrine v2021-03)
Description
Funding Information
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);Office of Nuclear Energy (NE)Related Works
- IsSupplementedBy (DOI): https://doi.org/10.1016/j.addma.2020.101453
Details
Release Date
April 23, 2021Subject
MATERIALS SCIENCE, MATHEMATICS AND COMPUTINGKeywords
Powder Bed Additive Manufacturing, Image Segmentation, In-Situ Process Monitoring, Machine LearningDataset
Dataset Type
SM Specialized MixCite This Dataset:
Scime, L., Paquit, V., Joslin, C., Richardson, D., Goldsby, D., Lowe, L. (2021). Layer-wise Imaging Dataset from Powder Bed Additive Manufacturing Processes for Machine Learning Applications (Peregrine v2021-03) . Oak Ridge National Laboratory. https://doi.org/10.13139/ORNLNCCS/1779073.
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.