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

    Luke Scime | Oak Ridge National Laboratory
    Chase Joslin | Oak Ridge National Laboratory
    David Collins | Oak Ridge National Laboratory
    William Halsey | Oak Ridge National Laboratory
    Ryan Duncan | Oak Ridge National Laboratory
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Description

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.

Funding Information

DOE Contract Number

DE-AC05-00OR22725

Originating 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

Details

DOI

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

Release Date

September 28, 2023

Subject

36 MATERIALS SCIENCE, 97 MATHEMATICS AND COMPUTING

Keywords

Powder Bed Additive Manufacturing, Image Segmentation, In-Situ Process Monitoring, Tensile Testing

Dataset

Dataset Type

SM Specialized Mix

Software

any software or programming language capable of reading HDF5 files, such as Python's h5py package

Cite This Dataset:

Scime, L., Joslin, C., Collins, D., Halsey, W., Duncan, R., Paquit, V. (2023). A Co-Registered In-Situ and Ex-Situ Tensile Properties Dataset from a Laser Powder Bed Fusion Additive Manufacturing Process (Peregrine v2023-11). Oak Ridge National Laboratory. https://doi.org/10.13139/ORNLNCCS/2001425.

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.