Uncertainty in CT Metrology: Visualizations for Exploration and Analysis of Geometric Tolerances

Information

• Publication Type: Conference Paper
• Workgroup(s)/Project(s):
  • Visualization Group
• Date: February 2014
• Location: Wels, Austria
• Lecturer: Artem Amirkhanov
• ISSN: 978-3-8440-2557-6
• Event: iCT Conference 2014
• Booktitle: Proceedings of 5th Conference on Industrial Computed Tomography (iCT Conference 2014)
• Journal: Proceedings of iCT 2014
• Conference date: 25. February 2014 – 28. February 2014
• Pages: 189 – 195
• Keywords: metrology, level-of-details, uncertainty visualization, Industrial 3D computed tomography

Abstract

Industrial 3D X-ray computed tomography (3DXCT) is increasingly applied as a technique for metrology applications. In contrast to comventional metrology tools such as coordinate measurement machines (CMMs). 3DXCT only estimates the exact position of the specimen’s surface and is subjected to a specific set of artifact types. These factors result in uncertainty that is present in the data. Previous work by Amirkhanov et. al [2] presented a tool prototype that is taking such uncertainty into account when measuring geometric tolerances such as straightness, circularity, or flatness. In this paper we extend the previous work with two more geometric tolerance types: cylindricity and angularity. We provide methods and tools for visualization, inspection, and analysis of these tolerances. For the cylindricity tolerance we employ neighboring profiles visualization, box-plot overview, and interactive 3D view. We evaluate applicability and usefulness our methods on a new TP03 data set, and present results and new potential use cases.

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BibTeX

@inproceedings{Groeller_Eduard_2014_UCT,
  title =      "Uncertainty in CT Metrology: Visualizations for Exploration
               and Analysis of Geometric Tolerances",
  author =     "Artem Amirkhanov and Bernhard Fr\"{o}hler and Michael Reiter
               and Johann Kastner and Eduard Gr\"{o}ller and Christoph
               Heinzl",
  year =       "2014",
  abstract =   "Industrial 3D X-ray computed tomography (3DXCT) is
               increasingly applied as a technique for metrology
               applications. In contrast to comventional metrology tools
               such as coordinate measurement machines (CMMs). 3DXCT only
               estimates the exact position of the specimen’s surface and
               is subjected to a specific set of artifact types. These
               factors result in uncertainty that is present in the data. 
               Previous work by Amirkhanov et. al [2] presented a tool
               prototype that is taking such uncertainty into account when
               measuring geometric tolerances such as straightness,
               circularity, or flatness. In this paper we extend the
               previous work with two more geometric tolerance types:
               cylindricity and angularity. We provide methods and tools
               for visualization, inspection, and analysis of these
               tolerances. For the cylindricity tolerance we employ
               neighboring profiles visualization, box-plot overview, and
               interactive 3D view. We evaluate applicability and
               usefulness our methods on a new TP03 data set, and present
               results and new potential use cases.",
  month =      feb,
  location =   "Wels, Austria",
  issn =       "978-3-8440-2557-6",
  event =      "iCT Conference 2014",
  booktitle =  "Proceedings of 5th Conference on Industrial Computed
               Tomography (iCT Conference 2014)",
  journal =    "Proceedings of iCT 2014",
  pages =      "189--195",
  keywords =   "metrology, level-of-details, uncertainty visualization,
               Industrial 3D computed tomography",
  URL =        "https://www.cg.tuwien.ac.at/research/publications/2014/Groeller_Eduard_2014_UCT/",
}