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dc.contributor.authorKozior, Tomasz
dc.contributor.authorBochnia, Jerzy
dc.contributor.authorBochenek, Aleksandra
dc.contributor.authorMalara, Dominik
dc.contributor.authorMichał Nawotka
dc.contributor.authorJansa, Jan
dc.contributor.authorHajnyš, Jiří
dc.contributor.authorWójtowicz, Adam
dc.contributor.authorMěsíček, Jakub
dc.date.accessioned2025-01-08T11:16:58Z
dc.date.available2025-01-08T11:16:58Z
dc.date.issued2024
dc.identifier.citationApplied Sciences. 2024, vol. 14, issue 8, art. no. 3506.cs
dc.identifier.issn2076-3417
dc.identifier.urihttp://hdl.handle.net/10084/155461
dc.description.abstractThis paper presents the results of a study on the dimensional accuracy analysis of models produced by 3D printing technology—Fused Filament Fabrication (FFF). Geometric measurements were conducted using a dial caliper, a 3D scanner and a coordinate measuring machine. In addition, a statistical analysis of the test results was carried out, considering the division into different numbers of test samples (3, 5, 10, 20, 30). The analysis of the test results made it possible to assess the influence of the measuring tools used and the number of samples tested on the final measurement result, as well as to determine the consequences associated with it.cs
dc.language.isoencs
dc.publisherMDPIcs
dc.relation.ispartofseriesApplied Sciencescs
dc.relation.urihttps://doi.org/10.3390/app14083506cs
dc.rights© 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.cs
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/cs
dc.subjectFFFcs
dc.subjectPLAcs
dc.subject3D scanningcs
dc.subjectcoordinate measuring machinecs
dc.subjectstatistical analysiscs
dc.titleEstimating the uncertainty of measurements for various methods and 3D printed partscs
dc.typearticlecs
dc.identifier.doi10.3390/app14083506
dc.rights.accessopenAccesscs
dc.type.versionpublishedVersioncs
dc.type.statusPeer-reviewedcs
dc.description.sourceWeb of Sciencecs
dc.description.volume14cs
dc.description.issue8cs
dc.description.firstpageart. no. 3506cs
dc.identifier.wos001210115600001


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© 2024 by the authors.  Licensee MDPI, Basel, Switzerland.  This article is an open access article  distributed under the terms and  conditions of the Creative Commons  Attribution (CC BY) license.
Except where otherwise noted, this item's license is described as © 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.