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Title: A Co-Registered In-Situ and Ex-Situ Dataset from an Electron Beam Powder Bed Fusion Additive Manufacturing Process (Peregrine v2023-09)

Abstract

This release contains a co-registered in-situ and ex-situ Peregrine dataset from a single Arcam Q10 Electron Beam Powder Bed Fusion (EB-PBF) Inconel 738 build. These data were collected at the Manufacturing Demonstration Facility (MDF) located at Oak Ridge National Laboratory (ORNL). The dataset includes layer-wise Near Infrared (NIR) in-situ imaging data, in-situ temporal sensor data, ex-situ X-Ray Computed Tomography (X-CT) scans, and the target part geometries. Additionally, anomaly detections produced by a trained 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; X-Ray Computed Tomography
OSTI Identifier:
2001412
DOI:
https://doi.org/10.13139/ORNLNCCS/2001412

Citation Formats

Scime, Luke, Snow, Zackary, Halsey, William, Ziabari, Amir, Joslin, Chase, Lowe, Larry, Duncan, Ryan, Kirka, Michael, and Paquit, Vincent. A Co-Registered In-Situ and Ex-Situ Dataset from an Electron Beam Powder Bed Fusion Additive Manufacturing Process (Peregrine v2023-09). United States: N. p., 2023. Web. doi:10.13139/ORNLNCCS/2001412.
Scime, Luke, Snow, Zackary, Halsey, William, Ziabari, Amir, Joslin, Chase, Lowe, Larry, Duncan, Ryan, Kirka, Michael, & Paquit, Vincent. A Co-Registered In-Situ and Ex-Situ Dataset from an Electron Beam Powder Bed Fusion Additive Manufacturing Process (Peregrine v2023-09). United States. doi:https://doi.org/10.13139/ORNLNCCS/2001412
Scime, Luke, Snow, Zackary, Halsey, William, Ziabari, Amir, Joslin, Chase, Lowe, Larry, Duncan, Ryan, Kirka, Michael, and Paquit, Vincent. 2023. "A Co-Registered In-Situ and Ex-Situ Dataset from an Electron Beam Powder Bed Fusion Additive Manufacturing Process (Peregrine v2023-09)". United States. doi:https://doi.org/10.13139/ORNLNCCS/2001412. https://www.osti.gov/servlets/purl/2001412. Pub date:Thu Sep 28 04:00:00 UTC 2023
@article{osti_2001412,
title = {A Co-Registered In-Situ and Ex-Situ Dataset from an Electron Beam Powder Bed Fusion Additive Manufacturing Process (Peregrine v2023-09)},
author = {Scime, Luke and Snow, Zackary and Halsey, William and Ziabari, Amir and Joslin, Chase and Lowe, Larry and Duncan, Ryan and Kirka, Michael and Paquit, Vincent},
abstractNote = {This release contains a co-registered in-situ and ex-situ Peregrine dataset from a single Arcam Q10 Electron Beam Powder Bed Fusion (EB-PBF) Inconel 738 build. These data were collected at the Manufacturing Demonstration Facility (MDF) located at Oak Ridge National Laboratory (ORNL). The dataset includes layer-wise Near Infrared (NIR) in-situ imaging data, in-situ temporal sensor data, ex-situ X-Ray Computed Tomography (X-CT) scans, and the target part geometries. Additionally, anomaly detections produced by a trained 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/2001412},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Thu Sep 28 04:00:00 UTC 2023},
month = {Thu Sep 28 04:00:00 UTC 2023}
}