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

Information

• Publication Type: Journal Paper with Conference Talk
• Workgroup(s)/Project(s): not specified
• Date: 2016
• Journal: Computer Graphics Forum (2016)
• Volume: 35
• Number: 3
• ISSN: doi: 10.1111/cgf.12896
• Pages: 201 – 210

Abstract

Material 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.

Additional Files and Images

Weblinks

No further information available.

BibTeX

@article{Groeller_2016_P1,
  title =      " Visual Analysis of Defects in Glass Fiber Reinforced
               Polymers for 4DCT Interrupted In situ Tests",
  author =     "Aleksandr Amirkhanov and Artem Amirkhanov and Dietmar
               Salaberger and Johannes Kastner and Eduard Gr\"{o}ller and
               Christoph Heinzl",
  year =       "2016",
  abstract =   "Material 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.",
  journal =    "Computer Graphics Forum (2016)",
  volume =     " 35",
  number =     "3",
  issn =       "doi: 10.1111/cgf.12896",
  pages =      "201--210",
  URL =        "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_P1/",
}