Skip to main content

2025 Peregrine in-situ monitoring and training dataset for laser powder bed fusion and binder jet printers

    Luke Scime | Oak Ridge National Laboratory
    Zackary Snow | Oak Ridge National Laboratory
    Chase Joslin | Oak Ridge National Laboratory
    Trevor McDonald | Oak Ridge National Laboratory
    Desarae Goldsby | Oak Ridge National Laboratory
Download Dataset on Globus

Description

Peregrine, a software tool developed at Oak Ridge National Laboratory (ORNL), was used to collect and analyze in-situ monitoring (ISM) data from a Concept Laser M2 (Colibrium Additive) laser powder bed fusion (L-PBF) printer and an ExOne Innovent (Desktop Metal) binder jet printer. Data for four builds (print jobs) were saved to HDF5 (high performance data) files for release. Additionally, process anomalies were annotated by the authors across 37 image stacks (i.e., print layers) and are also provided as HDF5 files.

Funding Information

DOE Contract Number

AC05-00OR22725

Originating Research Organization

Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)

Sponsoring Organization

Advanced Materials and Manufacturing Technologies Office (AMMTO)

Details

DOI

https://doi.org/10.13139/ORNLNCCS/2588140

Release Date

September 17, 2025

Subject

36 MATERIALS SCIENCE

Keywords

machine learning, Powder Bed Additive Manufacturing, Machine vision

Dataset

Dataset Type

SM Specialized Mix

Software

A stand-alone HDF5 file viewer or a programming language (e.g., Python) with an HDF5 library.

Cite This Dataset:

Scime, L., Snow, Z., Joslin, C., McDonald, T., Goldsby, D., Richardson, D., Paquit, V. (2025). 2025 Peregrine in-situ monitoring and training dataset for laser powder bed fusion and binder jet printers. Oak Ridge National Laboratory. https://doi.org/10.13139/ORNLNCCS/2588140.

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.