The following data files include microstructure measurement results associated with the 2022 Additive Manufacturing Benchmark test series (AM Bench 2022) AMB2022-03 set of benchmarks. These AMB2022-03 benchmarks explore a range of individual and overlapping melt pool behaviors using individual laser tracks and 2D arrays of laser tracks (pads) on solid metal IN718 plates. For the individual laser tracks, a range of laser parameters was used, with variations in laser power, speed, and spot diameter. For the laser pads, the laser scan patterns and most of the laser parameters match those used for the 2.5 mm legs from the AMB2022-01 3D builds. The laser tracks and pads were cross sectioned at different locations and examined using scanning electron microscopy (SEM) electron backscatter diffraction (EBSD) and energy dispersive spectroscopy (EDS). Descriptions and measurement data for all of the other AMB2022-03 measurements may be found on the AM Bench website at www.nist.gov/ambench.The AM Bench measurements metadata catalog provides both a web search interface and API access to extensive linked data associated with these measurements (see Data Access link to explore this related resource). The SciServer AM Bench collaborative compute platform provides a mechanism for exploring and analyzing the AM Bench datasets directly on a data server without the need to download large datasets (see Data Access link to explore this related resource).

The following data files include microstructure measurement results associated with the 2022 Additive Manufacturing Benchmark test series (AM-Bench 2022) AMB2022-01 benchmark on laser powder bed fusion (LPBF) 3D builds of nickel-based superalloy IN718 test objects. The AM builds were performed on the NIST Additive Manufacturing Metrology Testbed (AMMT) and the microstructure measurements were conducted using scanning electron microscopy (SEM), transmission electron microscopy (TEM), ultra-small-angle X-ray scattering (USAXS), small-angle X-ray scattering (SAXS), wide-angle X-ray scattering (WAXS), and automated serial sectioning. Detailed descriptions of the build process parameters, scan pattern, heat treatment, and descriptions of all of the AMB2022-01 measurements are provided on the AMB2022-01 challenge description webpage (https://www.nist.gov/ambench/amb2022-01-benchmark-measurements-and-challenge-problems).Due to the time-sensitive nature of the AM Bench challenge problems, those measurements and analyses were prioritized. The challenges that this data publication address are:Microstructure (CHAL-AMB2022-01-MS): Histograms of direction-specific grain sizes from specified regions within as-built and heat-treated samples.Phase Evolution (CHAL-AMB2022-01-PE): Formation and evolution of phases and phase fractions, including major precipitates, as a function of time for heat treatments of IN718 from a 2.5 mm leg.The data provided for CHAL-AMB2022-01-PE are preliminary since an additional phase in the as-build material has not yet been positively identified. These data will be updated shortly. Also, additional datasets that are not required for the challenges will be added soon. For updates, please check back here or at www.nist.gov/ambench.

The following data files include in-situ thermographic measurement results and various additional experiment design data associated with laser-scanned single tracks and multi-track pads on bare (no-powder) nickel superalloy In718 for the 2022 Additive Manufacturing Benchmark (AM-Bench) test series. These data are associated with the AMB2022-03 series of modeling challenges described here: https://www.nist.gov/system/files/documents/2022/05/26/AMB2022-03%20Measurement%20and%20Challenge%20Descriptions_1.01.pdf. However, these data may also be used in future AM-Bench challenges. These laser-scanning tests and thermographic measurements were performed on the NIST Additive Manufacturing Metrology Testbed (AMMT, https://www.nist.gov/el/ammt-temps).Information on the directory structure and file formats are provided in the README.txt file. Note that this dataset will be periodically updated, and additional data will be added as it is made available. Future publications will also provide more in-depth description of the data in this dataset, as will links to available analysis code and scripts. Refer to the Version number below, and updates described in this Description and the README.txt file.

The following data files are provided in support of the AM Bench 2022 modeling challenges associated with bare plate single track and pad laser scans performed on the NIST Additive Manufacturing Metrology Testbed (https://www.nist.gov/el /ammt-temps). These measurements were used in the AMB2022-03 set of challenges associated with track melt pool geometry (CHAL-AMB2022-03-TMPG) and pad melt pool geometry (CHAL-AMB2022-03-PMPG). Description of the associated measurements and modeling challenges are provided on the AMB2022-03 challenge description webpage (https://www.nist.gov/document/amb2022-03-measurement-and-challenge-descriptions-version-101).

The following data files are provided in support of the AM Bench 2022 modeling challenges associated with bare plate single track and pad laser scans performed on the NIST Additive Manufacturing Metrology Testbed (https://www.nist.gov/el /ammt-temps). These measurements were used in the AMB2022-03 set of challenges associated with track melt pool geometry (CHAL-AMB2022-03-TMPG) and pad melt pool geometry (CHAL-AMB2022-03-PMPG). Description of the associated measurements and modeling challenges are provided on the AMB2022-03 challenge description webpage (https://www.nist.gov/document/amb2022-03-measurement-and-challenge-descriptions-version-101).

This dataset contains thermographic measurements acquired during single and multiple track scans on bare substrates and on single layers of powder. The substrates and powder are nickel alloy 625 and the experiments are performed inside a commercial laser powder bed fusion machine. There are four experiment cases: 1) a single scan track on a bare substrate, 2) a single scan track on a single hand-spread layer of powder, 3) multiple (39) scan tracks covering an area on a bare substrate, and 4) multiple (39) scan tracks solidifying a single hand-spread layer of powder. Thermographic measurements are performed using a camera system sensitive to wavelengths between 1350 nm and 1600 nm. The camera acquires frames with an integration time of 0.04 ms and a frame rate of 1800 frames per s. The camera signal and radiant temperature values based on a black body calibration are provided. True temperature is not provided because emissivity of the surfaces is unknown. This data was used to measure melt pool length and cooling rate based on radiant temperature as part of the work in: Heigel, J. C. & Lane, B. (2017). "The effect of powder on cooling rate and melt pool length measurements using in situ thermographic techniques." In Proceedings of the 2017 Annual International SFF Symposium (https://www.nist.gov/publications/effect-powder-cooling-rate-and-melt-pool-length-measurements-using-situ-thermographic)