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dc.contributor.authorKnauthe, Volkeren_US
dc.contributor.authorKraus, Mauriceen_US
dc.contributor.authorBuelow, Max vonen_US
dc.contributor.authorWirth, Tristanen_US
dc.contributor.authorRak, Arneen_US
dc.contributor.authorMerth, Laurenzen_US
dc.contributor.authorErbe, Alexanderen_US
dc.contributor.authorKontermann, Christianen_US
dc.contributor.authorGuthe, Stefanen_US
dc.contributor.authorKuijper, Arjanen_US
dc.contributor.authorFellner, Dieter W.en_US
dc.contributor.editorBender, Janen_US
dc.contributor.editorBotsch, Marioen_US
dc.contributor.editorKeim, Daniel A.en_US
dc.date.accessioned2022-09-26T09:28:43Z
dc.date.available2022-09-26T09:28:43Z
dc.date.issued2022
dc.identifier.isbn978-3-03868-189-2
dc.identifier.urihttps://doi.org/10.2312/vmv.20221201
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/vmv20221201
dc.description.abstractDesigning new types of heat-resistant steel components is an important and active research field in material science. It requires detailed knowledge of the inherent steel properties, especially concerning their creep ductility. Highly precise automatic stateof- the-art approaches for such measurements are very expensive and often times invasive. The alternative requires manual work from specialists and is time consuming and unrobust. In this paper, we present a novel approach that uses a photometric scanning system for capturing the geometry of steel specimens, making further measurement extractions possible. In our proposed system, we apply calibration for pan angles that occur during capturing and a robust reassembly for matching two broken specimen pieces to extract the specimen's geometry. We compare our results against µCT scans and found that it deviates by 0.057mm on average distributed over the whole specimen for a small amount of 36 captured images. Additionally, comparisons to manually measured values indicate that our system leads to more robust measurements.en_US
dc.publisherThe Eurographics Associationen_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectCCS Concepts: Computing methodologies --> Shape analysis; Applied computing --> Engineering
dc.subjectComputing methodologies
dc.subjectShape analysis
dc.subjectApplied computing
dc.subjectEngineering
dc.titleAlignment and Reassembly of Broken Specimens for Creep Ductility Measurementsen_US
dc.description.seriesinformationVision, Modeling, and Visualization
dc.description.sectionheadersSession I
dc.identifier.doi10.2312/vmv.20221201
dc.identifier.pages33-40
dc.identifier.pages8 pages


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Attribution 4.0 International License
Except where otherwise noted, this item's license is described as Attribution 4.0 International License