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    • In situ thermography of the metal bridge structures fabricated for the 2018 Additive Manufacturing Benchmark Test Series (AM-Bench 2018)

    Metadata Updated: February 1, 2024

    These measurements were performed as part of the 2018 Additive Manufacturing Benchmark Test Series (AM-Bench). This dataset and the associated experiments are part of a continuing series of controlled benchmark tests, in conjunction with a conference series, with two initial goals, 1) to allow modelers of Additive Manufacturing processes to test their simulations against rigorous, highly controlled additive manufacturing benchmark test data, and 2) to encourage additive manufacturing practitioners to develop novel mitigation strategies for challenging build scenarios. More information regarding the AMBench 2018 study can be found at www.nist.gov/ambench. For this year's challenge, numerous metal parts of the same geometry were created using an identical processing condition using a commercial powder bed fusion machine. The eight parts in total were manufactured in two builds. In situ thermal measurements of a select region on one of the parts within each build were acquired at 1800 frames per second. The part is a bridge structure geometry that has 12 legs of varying size (5 mm x 5 mm, 5 mm x 2.5 mm, and 0.5 mm x 5 mm), each leg is 5 mm tall, then uses a 45-degree overhang to transition into the bridge structure with a constant cross section. Each part is manufactured using 0.02 mm layer thickness, a programmed laser power of 195 W traveling at a scan speed of 800 mm/s, and the hatch spacing is 0.1 mm. The part is manufactured in 624 layers and the total build time nearly 9.5 hours. Details on the experiment can be found at www.nist.gov/ambench/amb2018-01-description, while related post-process measurement results can be found at www.nist.gov/ambench/benchmark-test-data.This dataset consists of thermal videos and MATLAB data structures for each layer. These are provided for each layer of the build and are grouped ten layers at a time in the provided zip files. The thermal videos provide an overview of the radiant temperature (not accounting for emissivity) measured during each layer, while the MATLAB structures contain the measurement data along with information on the camera timing, calibration, and process information. Two MATLAB functions are also provided. The first allows the measured radiant temperature to be converted into true temperature based on an assumed emissivity correction factor. The second function recreates the thermal video files. The second MATLAB function helps to provides context on how to interact with the MATLAB structures.For a detailed description of the dataset, please refer to the NIST Journal of Research publication, "Thermography of the Metal Bridge Structures Fabricated for the 2018 Additive Manufacturing Benchmark Test Series (AM-Bench 2018)." (in press)

    Access & Use Information

    Public: This dataset is intended for public access and use. License: See this page for license information.

    Downloads & Resources

    References

    https://doi.org/10.1007/s40192-020-00170-8

    Dates

    Metadata Created Date March 11, 2021
    Metadata Updated Date February 1, 2024
    Data Update Frequency irregular

    Metadata Source

    Harvested from NIST

    Other Data Resources

    Additional Metadata

    Resource Type Dataset
    Metadata Created Date March 11, 2021
    Metadata Updated Date February 1, 2024
    Publisher National Institute of Standards and Technology
    Maintainer
    Identifier 6F0C74FF99CC53D5E05324570681FA761935
    Language en
    Data Last Modified 2018-09-14 00:00:00
    Category Mathematics and Statistics:Modeling and simulation research
    Public Access Level public
    Data Update Frequency irregular
    Bureau Code 006:55
    Metadata Context https://project-open-data.cio.gov/v1.1/schema/data.json
    Schema Version https://project-open-data.cio.gov/v1.1/schema
    Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
    Harvest Object Id 4efb6125-0b00-4378-b1d8-5bd68ad7c721
    Harvest Source Id 74e175d9-66b3-4323-ac98-e2a90eeb93c0
    Harvest Source Title NIST
    Homepage URL https://data.nist.gov/od/id/6F0C74FF99CC53D5E05324570681FA761935
    License https://www.nist.gov/open/license
    Program Code 006:045
    Related Documents https://doi.org/10.1007/s40192-020-00170-8
    Source Datajson Identifier True
    Source Hash 47551a32c6862f5301149164b29722d642c37c1cfec5416d18f98e05e45f9d61
    Source Schema Version 1.1

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