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Process Monitoring Dataset from the Additive Manufacturing Metrology Testbed (AMMT): RHF Experiment
This dataset includes the files pertaining to a 3D additive manufacturing experiment performed on the Additive Manufacturing Metrology Testbed (AMMT) by Ho Yeung on July 11, 2019. The experiment included 55 separate laser scanned 'pads' created on a bare-metal plate. Each pad corresponds to a different laser processing setting, described in the paper Yeung et al. 2020 (https://doi.org/10.1016/j.mfglet.2020.07.005). Files include the input command files, in-situ process monitoring data and metadata, and ex-situ microscope photographic images of the pad surfaces. This data is one of a set of 'AMMT Process Monitoring Datasets', as part of the Metrology for Real-Time Monitoring of Additive Manufacturing project at the National Institute of Standards and Technology (https://www.nist.gov/el/ammt-temps/datasets).
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Process Monitoring Dataset from the Additive Manufacturing Metrology Testbed (AMMT): RHF Experiment
공공데이터포털
This dataset includes the files pertaining to a 3D additive manufacturing experiment performed on the Additive Manufacturing Metrology Testbed (AMMT) by Ho Yeung on July 11, 2019. The experiment included 55 separate laser scanned 'pads' created on a bare-metal plate. Each pad corresponds to a different laser processing setting, described in the paper Yeung et al. 2020 (https://doi.org/10.1016/j.mfglet.2020.07.005). Files include the input command files, in-situ process monitoring data and metadata, and ex-situ microscope photographic images of the pad surfaces. This data is one of a set of 'AMMT Process Monitoring Datasets', as part of the Metrology for Real-Time Monitoring of Additive Manufacturing project at the National Institute of Standards and Technology (https://www.nist.gov/el/ammt-temps/datasets).
Process Monitoring Dataset from the Additive Manufacturing Metrology Testbed (AMMT): Overhang Part X4
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This dataset includes files from the experiment titled 'OverhangPartX4' pertaining to a three-dimensional (3D) additive manufacturing (AM) build performed on the Additive Manufacturing Metrology Testbed (AMMT) by Ho Yeung and Brandon Lane on June 28, 2019. The files include the input command files, materials data, in-situ process monitoring data, and metadata. This data is one of a set of 'AMMT Process Monitoring Datasets', as part of the Metrology for Real-Time Monitoring of Additive Manufacturing project at the National Institute of Standards and Technology (NIST). Ex-situ part characterization data, including X-ray computed tomography measurements, will be provided as they are made available. Readers should refer to the AMMT datasets web page for updates (https://www.nist.gov/el/ammt-temps/datasets).
Process Monitoring Dataset from the Additive Manufacturing Metrology Testbed (AMMT): Overhang Part X4
공공데이터포털
This dataset includes files from the experiment titled 'OverhangPartX4' pertaining to a three-dimensional (3D) additive manufacturing (AM) build performed on the Additive Manufacturing Metrology Testbed (AMMT) by Ho Yeung and Brandon Lane on June 28, 2019. The files include the input command files, materials data, in-situ process monitoring data, and metadata. This data is one of a set of 'AMMT Process Monitoring Datasets', as part of the Metrology for Real-Time Monitoring of Additive Manufacturing project at the National Institute of Standards and Technology (NIST). Ex-situ part characterization data, including X-ray computed tomography measurements, will be provided as they are made available. Readers should refer to the AMMT datasets web page for updates (https://www.nist.gov/el/ammt-temps/datasets).
Process Monitoring Dataset from the Additive Manufacturing Metrology Testbed (AMMT): 3D Scan Strategies
공공데이터포털
This dataset includes the files pertaining to a 3D additive manufacturing build performed on the Additive Manufacturing Metrology Testbed (AMMT) by Ho Yeung on July 8, 2018. The files include the input command files and in-situ process monitoring data, and metadata. This data is the first of the AMMT Process Monitoring Reference Datasets (https://www.nist.gov/el/ammt-temps/datasets), as part of the Metrology for Real-Time Monitoring of Additive Manufacturing project (https://www.nist.gov/programs-projects/metrology-real-time-monitoring-additive-manufacturing).Details on the experiment design, data formats and processing, and file structures can be found in the data description article: https://doi.org/10.6028/jres.124.033
Process Monitoring Dataset from the Additive Manufacturing Metrology Testbed (AMMT): Overhang Part X16
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This dataset includes files from the experiment titled OverhangPartX16 pertaining to a three-dimensional (3D) additive manufacturing (AM) build performed on the Additive Manufacturing Metrology Testbed (AMMT) by Ho Yeung and Brandon Lane on July 3, 2019. Users should refer to the included User Notes file: OverhangX16_In-situData_UserNotes.pdf, which describes unique attributes of this experiment and dataset from previous, similar AMMT datasets. Users should refer to the data description article https://doi.org/10.6028/jres.125.027 for in-depth discussion of the file types and data structure, which are similar for this dataset. The files included in this dataset include the input command files and in-situ process monitoring data. Experiment and measurement metadata may be obtained from the previous dataset: https://doi.org/10.18434/M32233.This data is one of a set of 'AMMT Process Monitoring Datasets', as part of the Metrology for Real-Time Monitoring of Additive Manufacturing project at the National Institute of Standards and Technology (NIST). Ex-situ part characterization data, including X-ray computed tomography measurements, will be provided as they are made available. Readers should refer to the AMMT datasets web page for updates (https://www.nist.gov/el/ammt-temps/datasets).
Additive Manufacturing Benchmark Test Series (AM-Bench) 2018 Test Descriptions
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The Additive Manufacturing Benchmark Test Series (AM-Bench) is developing a continuing series of controlled benchmark tests, in conjunction with a conference series, with two initial goals: 1) to allow modelers 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. This dataset provides the files to allow the participants in the study (modelers) to understand the experiments and measurements and the files to facilitate the model development. Types of files include .stl files, process videos, and material information.
X-ray computed tomography data of Additive Manufacturing Metrology Testbed (AMMT) parts: Overhang Part X4
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This dataset includes files generated from post-build X-ray computed tomography (XCT) measurements of the four parts built as part of the "Overhang Part X4" in-situ process monitoring dataset (available at https://doi.org/10.18434/M32233). The "Overhang Part X4" dataset was a three-dimensional (3D) additive manufacturing (AM) build performed on the Additive Manufacturing Metrology Testbed (AMMT) by Ho Yeung and Brandon Lane on June 28, 2019. The files in this dataset include XCT image sequences for each part, and stereolithography files (.STL) of the surface data extracted from XCT, measured by Maxwell Praniewicz at the Precision Machining Research Consortium at Georgia Institute of Technology, Atlanta, GA.
X-ray Computed Tomography Data of Additive Manufacturing Metrology Testbed (AMMT) Parts: Overhang Part X16
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This dataset includes files generated from post-build X-ray computed tomography (XCT) measurements of the sixteen parts built as part of the "Overhang Part X16" in-situ process monitoring dataset (available at https://doi.org/10.18434/mds2-2309). The "Overhang Part X16" dataset was a three-dimensional (3D) additive manufacturing (AM) build performed on the Additive Manufacturing Metrology Testbed (AMMT) by Ho Yeung and Brandon Lane on July 3, 2019. The files in this dataset include XCT image sequences for each part, and stereolithography files (.STL) of the surface data extracted from XCT, measured by Maxwell Praniewicz at the Precision Machining Research Consortium at Georgia Institute of Technology, Atlanta, GA. Details on the dataset can be found in the included data description document "DataDescription_OverhangPartX16_XCT.pdf"
Additive Manufacturing Benchmark 2022 Schema
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This resource is the implementation in XML Schema [1] of a data model that describes the Additive Manufacturing Benchmark 2022 series data. It provides a robust set of metadata for the build processes and their resulting specimens and for measurements made on these in the context of the AM Bench 2022 project.The schema was designed to support typical science questions which users of a database with metadata about the AM Bench results might wish to pose. The metadata include identifiers assigned to build products, derived specimens, and measurements; links to relevant journal publications, documents, and illustrations; provenance of specimens such as source materials and details of the build process; measurement geometry, instruments and other configurations used in measurements; and access information to raw and processed data as well as analysis descriptions of these datasets.This data model is an abstraction of these metadata, designed using the concepts of inheritance, normalization, and reusability of an object oriented language for ease of extensibility and maintenance. It is simple to incorporate new metadata as needed.A CDCS [2] database at NIST was filled with metadata provided by the contributors to the AM Bench project. They entered values for the metadata fields for an AM Bench measurement, specimen or build process in tabular spreadsheets. These entries were translated to XML documents compliant with the schema using a set of python scripts. The generated XML documents were loaded into the database with a persistent identifier (PID) assigned by the database.[1] https://www.w3.org/XML/Schema[2] https://www.nist.gov/itl/ssd/information-systems-group/configurable-data-curation-system-cdcs/about-cdcs
AM Bench 2022 Measurement Results Data: Optical Microscopy of Laser-scanned Single Tracks and Pads (AMB2022-03)
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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).