A Co-Registered In-Situ and Ex-Situ Tensile Properties Dataset from a Laser Powder Bed Fusion Additive Manufacturing Process (Peregrine v2023-11)

10.13139/ORNLNCCS/2001425

This release contains a co-registered in-situ and ex-situ Peregrine dataset from five Concept Laser M2 Laser Powder Bed Fusion (L-PBF) stainless steel 316L builds containing 6,299 SS-J3 individually tracked tensile coupons. 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, room-temperature static tensile test results, 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.

Published: 2023-09-28 13:16:43 Download Dataset

Dataset Properties

Field	Value
Authors	Scime, Luke Oak Ridge National Laboratory Joslin, Chase Oak Ridge National Laboratory Collins, David Oak Ridge National Laboratory Halsey, William Oak Ridge National Laboratory Duncan, Ryan Oak Ridge National Laboratory Paquit, Vincent Oak Ridge National Laboratory
Project Identifier	Peregrine
Dataset Type	SM Specialized Mix
Subjects	36 MATERIALS SCIENCE 97 MATHEMATICS AND COMPUTING
Keywords	Powder Bed Additive Manufacturing Image Segmentation In-Situ Process Monitoring Tensile Testing
Software Needed	any software or programming language capable of reading HDF5 files, such as Python's h5py package
Originating Organizations	Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
Sponsoring Organizations	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)
DOE Contract	DE-AC05-00OR22725
Related Identifiers	Cites (DOI) 10.1016/j.addma.2020.101453 Continues (DOI) 10.13139/ORNLNCCS/1779073 Continues (DOI) 10.13139/ORNLNCCS/1896716 Cites (DOI) 10.3389/fmech.2021.767444

Acknowledgements

Papers using this dataset are requested to include the following text in their acknowledgements:

*Support for 10.13139/ORNLNCCS/2001425 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.