The following data files include in-situ thermographic measurement results, scan strategy, and various additional data associated with laser powder bed fusion (LPBF) 3D builds of nickel-based superalloy IN718 test objects for the 2022 Additive Manufacturing Benchmark (AM-Bench) test series. These data are associated with the AMB2022-01 series of modeling challenges described here: https://www.nist.gov/ambench/amb2022-01-benchmark-measurements-and-challenge-problems. However, these data may also be used in future AM-Bench challenges. These AM builds 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 2715_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 2715_README.txt file.

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.

These measurements were performed as part of the 2018 Additive Manufacturing Benchmark Test Series (AM-Bench), specifically supporting the melt pool geometry challenge (CHAL-AMB2018-02-MP) and cooling rate challenge (CHAL-AMB2018-02-CR). 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. Multiple laser scan tracks were performed on bare nickel-based superalloy IN625 substrates using three different combinations of laser power and scan speed. A high-speed infrared camera was used to measure the infrared emissions during each scan track, allowing measurement of the melt pool length and cooling rate of the solidified material. Details related to this dataset are provided in the associated NIST Journal of Research article (in press). The associated publication with experiment details and ex-situ characterization is Lane et. al. 2020 (https://doi.org/10.1007/s40192-020-00169-1).For dataset description article; refer to https://doi.org/10.6028/NIST.AMS.100-53

These measurements were performed as part of the 2018 Additive Manufacturing Benchmark Test Series (AM-Bench), specifically supporting the melt pool geometry challenge (CHAL-AMB2018-02-MP) and cooling rate challenge (CHAL-AMB2018-02-CR). 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. Multiple laser scan tracks were performed on bare nickel-based superalloy IN625 substrates using three different combinations of laser power and scan speed. A high-speed infrared camera was used to measure the infrared emissions during each scan track, allowing measurement of the melt pool length and cooling rate of the solidified material. Details related to this dataset are provided in the associated NIST Journal of Research article (in press). The associated publication with experiment details and ex-situ characterization is Lane et. al. 2020 (https://doi.org/10.1007/s40192-020-00169-1).For dataset description article; refer to https://doi.org/10.6028/NIST.AMS.100-53

The following data files are provided in support of the 2022 Additive Manufacturing Benchmark test series (AM-Bench 2022) modeling challenges associated with laser powder bed fusion (LPBF) 3D builds of nickel-based superalloy IN718 test objects. These AM builds performed on the NIST Additive Manufacturing Metrology Testbed (AMMT). Description of the associated measurements and model are provided on the AMB2022-01 challenge description webpage (https://www.nist.gov/ambench), and information on the directory structure and file formats available in the 2607_README.txt file.Note that this dataset may be periodically updated. Refer to the Version number below, and updates described in this Description and the README file.

The following data files are provided in support of the 2022 Additive Manufacturing Benchmark test series (AM-Bench 2022) modeling challenges associated with laser powder bed fusion (LPBF) 3D builds of nickel-based superalloy IN718 test objects. These AM builds performed on the NIST Additive Manufacturing Metrology Testbed (AMMT). Description of the associated measurements and model are provided on the AMB2022-01 challenge description webpage (https://www.nist.gov/ambench), and information on the directory structure and file formats available in the 2607_README.txt file.Note that this dataset may be periodically updated. Refer to the Version number below, and updates described in this Description and the README file.

The following data files are provided in support of the 2022 Additive Manufacturing Benchmark test series (AM-Bench 2022) modeling challenges associated with laser powder bed fusion (LPBF) 3D builds of nickel-based superalloy IN718 test objects using variety of custom scan strategies. These AM builds were performed on the NIST Additive Manufacturing Metrology Testbed (AMMT, https://www.nist.gov/el/ammt-temps). Note that these 3D builds are an extension of those for the AMB2022-01 challenges, and part geometry, materials data, and 'nominal' 3D build data are available in the corresponding data repository (https://doi.org/10.18434/mds2-2607)Description of the associated 3D builds and measurements are provided on the AMB2022-02 challenge description webpage (https://www.nist.gov/ambench). Note that this dataset may be periodically updated. Refer to the Version number below, and updates described in this Description and the README file.

The following data files are provided in support of the 2022 Additive Manufacturing Benchmark test series (AM-Bench 2022) modeling challenges associated with laser powder bed fusion (LPBF) 3D builds of nickel-based superalloy IN718 test objects using variety of custom scan strategies. These AM builds were performed on the NIST Additive Manufacturing Metrology Testbed (AMMT, https://www.nist.gov/el/ammt-temps). Note that these 3D builds are an extension of those for the AMB2022-01 challenges, and part geometry, materials data, and 'nominal' 3D build data are available in the corresponding data repository (https://doi.org/10.18434/mds2-2607)Description of the associated 3D builds and measurements are provided on the AMB2022-02 challenge description webpage (https://www.nist.gov/ambench). Note that this dataset may be periodically updated. Refer to the Version number below, and updates described in this Description and the README file.

The following data files are provided in support of the AM Bench 2022 modeling challenges associated with Microstructure measurement extension to AMB2018-01: laser powder bed fusion (LPBF) 3D builds of nickel-based superalloy IN625 test objects (AMB2022-05). Description of the associated measurements are provided in the AMB2022-05 challenge description webpage (https://www.nist.gov/ambench).Some of the work was supported by the Exascale Additive Manufacturing Application Development Project, part of the Exascale Computing Project, (17-SC-20-SC), a collaborative effort of U.S. DOE Office of Science and NNSA. Lawrence Livermore National Security, LLC.

The following data files are provided in support of the AM Bench 2022 modeling challenges associated with Microstructure measurement extension to AMB2018-01: laser powder bed fusion (LPBF) 3D builds of nickel-based superalloy IN625 test objects (AMB2022-05). Description of the associated measurements are provided in the AMB2022-05 challenge description webpage (https://www.nist.gov/ambench).Some of the work was supported by the Exascale Additive Manufacturing Application Development Project, part of the Exascale Computing Project, (17-SC-20-SC), a collaborative effort of U.S. DOE Office of Science and NNSA. Lawrence Livermore National Security, LLC.