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A Fully Registered In-Situ and Ex-Situ Dataset for Metal Powder Bed Fusion Additive Manufacturing: Data Processing, Feature Extraction, Registration, and Uncertainties
This document details the data registration process for the previously published datasets from Additive Manufacturing Metrology Testbed (AMMT) parts, "Overhang Part X4," generated at the National Institute of Standards and Technology (NIST). The two datasets —one for process monitoring and the other for XCT inspection—covering four overhang parts, along with their descriptions were published in 2020. The published data have been well-received by the community, advancing the understanding of laser powder bed fusion additive manufacturing (AM). In the last four years, the NIST team encountered numerous questions regarding the published datasets, as the raw data were not easily interpretable for mining process-structure relationships. To support a wider range of research efforts across multiple disciplines, the NIST team conducted additional data analysis, resulting in a fully registered and well-documented dataset for publication. This document provides a detailed overview of the data processing pipeline and the multi-modal data registration techniques employed, including preprocessing, feature extraction, and data alignment. The final registered dataset consists solely of numerical values, fully aligned with the machine coordinate system. Key features of the registered data include process parameters, laser power, in-situ melt pool characteristics, in-situ layerwise optical intensity, and ex-situ XCT voxel values. Additionally, this document provides uncertainty analysis for each feature to help users better select data for their applications and evaluate their results. It can also serve as a framework for processing similar datasets collected on the same testbed in future research.
연관 데이터
A Fully Registered In-Situ and Ex-Situ Dataset for Metal Powder Bed Fusion Additive Manufacturing: Data Processing, Feature Extraction, Registration, and Uncertainties
공공데이터포털
This document details the data registration process for the previously published datasets from Additive Manufacturing Metrology Testbed (AMMT) parts, "Overhang Part X4," generated at the National Institute of Standards and Technology (NIST). The two datasets —one for process monitoring and the other for XCT inspection—covering four overhang parts, along with their descriptions were published in 2020. The published data have been well-received by the community, advancing the understanding of laser powder bed fusion additive manufacturing (AM). In the last four years, the NIST team encountered numerous questions regarding the published datasets, as the raw data were not easily interpretable for mining process-structure relationships. To support a wider range of research efforts across multiple disciplines, the NIST team conducted additional data analysis, resulting in a fully registered and well-documented dataset for publication. This document provides a detailed overview of the data processing pipeline and the multi-modal data registration techniques employed, including preprocessing, feature extraction, and data alignment. The final registered dataset consists solely of numerical values, fully aligned with the machine coordinate system. Key features of the registered data include process parameters, laser power, in-situ melt pool characteristics, in-situ layerwise optical intensity, and ex-situ XCT voxel values. Additionally, this document provides uncertainty analysis for each feature to help users better select data for their applications and evaluate their results. It can also serve as a framework for processing similar datasets collected on the same testbed in future research.
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): 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): Overhang Part X16
공공데이터포털
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).
Process Monitoring Dataset from the Additive Manufacturing Metrology Testbed (AMMT): Overhang Part X16
공공데이터포털
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).
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
X-ray computed tomography data of Additive Manufacturing Metrology Testbed (AMMT) parts: Overhang Part X4
공공데이터포털
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
공공데이터포털
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"
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): 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).