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

Scime, Luke; Joslin, Chase; Collins, David; Halsey, William; Duncan, Ryan; Paquit, Vincent

doi:10.13139/ORNLNCCS/2001425

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

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Abstract

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.

Authors:

Scime, Luke; Joslin, Chase; Collins, David; Halsey, William; Duncan, Ryan; Paquit, Vincent

ORNL-OLCF

Publication Date:: Thu Sep 28 04:00:00 UTC 2023

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); Office of Nuclear Energy (NE)

Subject:: 36 MATERIALS SCIENCE; 97 MATHEMATICS AND COMPUTING; Image Segmentation; In-Situ Process Monitoring; Powder Bed Additive Manufacturing; Tensile Testing

OSTI Identifier:: 2001425

DOI:: https://doi.org/10.13139/ORNLNCCS/2001425

Citation Formats


                    Scime, Luke, Joslin, Chase, Collins, David, Halsey, William, Duncan, Ryan, and Paquit, Vincent. A Co-Registered In-Situ and Ex-Situ Tensile Properties Dataset from a Laser Powder Bed Fusion Additive Manufacturing Process (Peregrine v2023-11).  United States: N. p., 2023. 
        Web.  doi:10.13139/ORNLNCCS/2001425.

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                    Scime, Luke, Joslin, Chase, Collins, David, Halsey, William, Duncan, Ryan, & Paquit, Vincent. A Co-Registered In-Situ and Ex-Situ Tensile Properties Dataset from a Laser Powder Bed Fusion Additive Manufacturing Process (Peregrine v2023-11).  United States.  doi:https://doi.org/10.13139/ORNLNCCS/2001425

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                    Scime, Luke, Joslin, Chase, Collins, David, Halsey, William, Duncan, Ryan, and Paquit, Vincent. 2023.  
"A Co-Registered In-Situ and Ex-Situ Tensile Properties Dataset from a Laser Powder Bed Fusion Additive Manufacturing Process (Peregrine v2023-11)".  United States.  doi:https://doi.org/10.13139/ORNLNCCS/2001425.  https://www.osti.gov/servlets/purl/2001425. Pub date:Thu Sep 28 04:00:00 UTC 2023

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@article{osti_2001425,

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

  author       = {Scime, Luke and Joslin, Chase and Collins, David and Halsey, William and Duncan, Ryan and Paquit, Vincent},

  abstractNote = {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.},

  doi          = {10.13139/ORNLNCCS/2001425},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Thu Sep 28 04:00:00 UTC 2023},

  month        = {Thu Sep 28 04:00:00 UTC 2023}

}

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DOI: https://doi.org/10.13139/ORNLNCCS/2001425

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