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

Abstract

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.

Authors:
; ; ; ; ; ; ; ; ; ; ;
  1. ORNL-OLCF
Publication Date:
DOE Contract Number:  
AC05-00OR22725
Research Org.:
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States). Oak Ridge Leadership Computing Facility (OLCF); Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
Sponsoring Org.:
Office of Energy Efficiency and Renewable Energy (EERE); Office of Energy Efficiency and Renewable Energy (EERE), Advanced Manufacturing Office (EE-5A)
Subject:
36 MATERIALS SCIENCE; 97 MATHEMATICS AND COMPUTING; Image Segmentation; In-Situ Process Monitoring; Powder Bed Additive Manufacturing; Tensile Testing; X-Ray Computed Tomography
OSTI Identifier:
2008021
DOI:
https://doi.org/10.13139/ORNLNCCS/2008021

Citation Formats

Scime, Luke, Snow, Zackary, Ziabari, Amir, Halsey, William, Joslin, Chase, Knapp, Gerry, Coleman, John, Peles, Amra, Graham, Sarah, Marquez Rossy, Andres, Duncan, Ryan, and Paquit, Vincent. A Co-Registered In-Situ and Ex-Situ Dataset from a Laser Powder Bed Fusion Additive Manufacturing Process (Peregrine v2023-10). United States: N. p., 2023. Web. doi:10.13139/ORNLNCCS/2008021.
Scime, Luke, Snow, Zackary, Ziabari, Amir, Halsey, William, Joslin, Chase, Knapp, Gerry, Coleman, John, Peles, Amra, Graham, Sarah, Marquez Rossy, Andres, Duncan, Ryan, & Paquit, Vincent. A Co-Registered In-Situ and Ex-Situ Dataset from a Laser Powder Bed Fusion Additive Manufacturing Process (Peregrine v2023-10). United States. doi:https://doi.org/10.13139/ORNLNCCS/2008021
Scime, Luke, Snow, Zackary, Ziabari, Amir, Halsey, William, Joslin, Chase, Knapp, Gerry, Coleman, John, Peles, Amra, Graham, Sarah, Marquez Rossy, Andres, Duncan, Ryan, and Paquit, Vincent. 2023. "A Co-Registered In-Situ and Ex-Situ Dataset from a Laser Powder Bed Fusion Additive Manufacturing Process (Peregrine v2023-10)". United States. doi:https://doi.org/10.13139/ORNLNCCS/2008021. https://www.osti.gov/servlets/purl/2008021. Pub date:Wed Oct 18 00:00:00 EDT 2023
@article{osti_2008021,
title = {A Co-Registered In-Situ and Ex-Situ Dataset from a Laser Powder Bed Fusion Additive Manufacturing Process (Peregrine v2023-10)},
author = {Scime, Luke and Snow, Zackary and Ziabari, Amir and Halsey, William and Joslin, Chase and Knapp, Gerry and Coleman, John and Peles, Amra and Graham, Sarah and Marquez Rossy, Andres and Duncan, Ryan and Paquit, Vincent},
abstractNote = {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.},
doi = {10.13139/ORNLNCCS/2008021},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Wed Oct 18 00:00:00 EDT 2023},
month = {Wed Oct 18 00:00:00 EDT 2023}
}