Visual Analysis of Defects in Glass Fiber Reinforced Polymers for 4DCT Interrupted In situ Tests

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dc.contributor.authorAmirkhanov, Alexanderen_US
dc.contributor.authorAmirkhanov, Artemen_US
dc.contributor.authorSalaberger, Dietmaren_US
dc.contributor.authorKastner, Johannen_US
dc.contributor.authorGröller, Eduarden_US
dc.contributor.authorHeinzl, Christophen_US
dc.contributor.editorKwan-Liu Ma and Giuseppe Santucci and Jarke van Wijken_US
dc.date.accessioned2016-06-09T09:32:43Z
dc.date.available2016-06-09T09:32:43Z
dc.date.issued2016en_US
dc.description.abstractMaterial engineers use interrupted in situ tensile testing to investigate the damage mechanisms in composite materials. For each subsequent scan, the load is incrementally increased until the specimen is completely fractured. During the interrupted in situ testing of glass fiber reinforced polymers (GFRPs) defects of four types are expected to appear: matrix fracture, fiber/matrix debonding, fiber pull-out, and fiber fracture. There is a growing demand for the detection and analysis of these defects among the material engineers. In this paper, we present a novel workflow for the detection, classification, and visual analysis of defects in GFRPs using interrupted in situ tensile tests in combination with X-ray Computed Tomography. The workflow is based on the automatic extraction of defects and fibers. We introduce the automatic Defect Classifier assigning the most suitable type to each defect based on its geometrical features. We present a visual analysis system that integrates four visualization methods: 1) the Defect Viewer highlights defects with visually encoded type in the context of the original CT image, 2) the Defect Density Maps provide an overview of the defect distributions according to type in 2D and 3D, 3) the Final Fracture Surface estimates the material fracture's location and displays it as a 3D surface, 4) the 3D Magic Lens enables interactive exploration by combining detailed visualizations in the region of interest with overview visualizations as context. In collaboration with material engineers, we evaluate our solution and demonstrate its practical applicability.en_US
dc.description.number3en_US
dc.description.sectionheadersVolume Data Applicationsen_US
dc.description.seriesinformationComputer Graphics Forumen_US
dc.description.volume35en_US
dc.identifier.doi10.1111/cgf.12896en_US
dc.identifier.issn1467-8659en_US
dc.identifier.pages201-210en_US
dc.identifier.urihttps://doi.org/10.1111/cgf.12896en_US
dc.identifier.urihttps://diglib.eg.org:443/handle/10
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.subjectImage processing and computer vision [I.4.7]en_US
dc.subjectFeature Measurementen_US
dc.subjectLife Cycleen_US
dc.subjectImage processing and computer vision [I.4.10]en_US
dc.subjectImage Representationen_US
dc.subjecten_US
dc.subjectComputer graphics [I.3.0]en_US
dc.subjectGeneralen_US
dc.titleVisual Analysis of Defects in Glass Fiber Reinforced Polymers for 4DCT Interrupted In situ Testsen_US
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35-Issue 3
EuroVis16: Eurographics Conference on Visualization