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Uncertainty quantification in dimensions dataset of additive manufactured NIST standard test artifact

The printed features on an additive manufactured part will often deviate from the nominal values of the 3D model's features due to the factors such as printer resolution, printing parameters, printing technology, and the measurement method. The National Institute of Standards and Technology (NI...

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Detalles Bibliográficos
Autores principales: Mac, Gary, Pearce, Hammond, Karri, Ramesh, Gupta, Nikhil
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8427264/
https://www.ncbi.nlm.nih.gov/pubmed/34522727
http://dx.doi.org/10.1016/j.dib.2021.107286
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author Mac, Gary
Pearce, Hammond
Karri, Ramesh
Gupta, Nikhil
author_facet Mac, Gary
Pearce, Hammond
Karri, Ramesh
Gupta, Nikhil
author_sort Mac, Gary
collection PubMed
description The printed features on an additive manufactured part will often deviate from the nominal values of the 3D model's features due to the factors such as printer resolution, printing parameters, printing technology, and the measurement method. The National Institute of Standards and Technology (NIST) standard test artifact contains a collection of various features that can be used to characterize a 3D printer's performance and has been used to benchmark metal printers. There is limited documentation on how well different additive manufacturing processes can fabricate the NIST artifact. This dataset records the dimensional uncertainty of selective printed features of the NIST artifact manufactured with polymer and resin printing processes. It contains the post-processing dimensional measurements of geometric features on the printed test artifacts. In order to generate the data, a total of 16 samples of the test artifact were printed with fused deposition modelling (FDM) and stereolithography (SLA) additive manufacturing methods. The percentage error between the measurement of features in the printed samples and their nominal computer aided design (CAD) values are calculated. For future reusability of this data, the same NIST test artifact CAD model can be printed, and the features’ measurements can be compared with the dataset presented in this article.
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spelling pubmed-84272642021-09-13 Uncertainty quantification in dimensions dataset of additive manufactured NIST standard test artifact Mac, Gary Pearce, Hammond Karri, Ramesh Gupta, Nikhil Data Brief Data Article The printed features on an additive manufactured part will often deviate from the nominal values of the 3D model's features due to the factors such as printer resolution, printing parameters, printing technology, and the measurement method. The National Institute of Standards and Technology (NIST) standard test artifact contains a collection of various features that can be used to characterize a 3D printer's performance and has been used to benchmark metal printers. There is limited documentation on how well different additive manufacturing processes can fabricate the NIST artifact. This dataset records the dimensional uncertainty of selective printed features of the NIST artifact manufactured with polymer and resin printing processes. It contains the post-processing dimensional measurements of geometric features on the printed test artifacts. In order to generate the data, a total of 16 samples of the test artifact were printed with fused deposition modelling (FDM) and stereolithography (SLA) additive manufacturing methods. The percentage error between the measurement of features in the printed samples and their nominal computer aided design (CAD) values are calculated. For future reusability of this data, the same NIST test artifact CAD model can be printed, and the features’ measurements can be compared with the dataset presented in this article. Elsevier 2021-08-14 /pmc/articles/PMC8427264/ /pubmed/34522727 http://dx.doi.org/10.1016/j.dib.2021.107286 Text en © 2021 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Data Article
Mac, Gary
Pearce, Hammond
Karri, Ramesh
Gupta, Nikhil
Uncertainty quantification in dimensions dataset of additive manufactured NIST standard test artifact
title Uncertainty quantification in dimensions dataset of additive manufactured NIST standard test artifact
title_full Uncertainty quantification in dimensions dataset of additive manufactured NIST standard test artifact
title_fullStr Uncertainty quantification in dimensions dataset of additive manufactured NIST standard test artifact
title_full_unstemmed Uncertainty quantification in dimensions dataset of additive manufactured NIST standard test artifact
title_short Uncertainty quantification in dimensions dataset of additive manufactured NIST standard test artifact
title_sort uncertainty quantification in dimensions dataset of additive manufactured nist standard test artifact
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8427264/
https://www.ncbi.nlm.nih.gov/pubmed/34522727
http://dx.doi.org/10.1016/j.dib.2021.107286
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