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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
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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. |
format | Online Article Text |
id | pubmed-8427264 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
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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