Visual Analysis of Methods for Processing 3D X-ray Computed Tomography Data of Advanced Composites

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Abstract

Advanced composites have excellent mechanical properties at low weight and can be realized as complex components that can be manufactured quickly and cost-effectively. Due to these outstanding characteristics, these materials are used in many di˙erent areas of industry, such as aviation and automotive. Industrial 3D X-ray computed tomography (XCT) is used as a non-destructive testing (NDT) method to inspect the quality of components and to develop new advanced composite materials. XCT has the ability to determine the inner and outer geometries of a specimen non-destructively. For example, interesting features in fiber-reinforced polymers (FRPs) such as fibers, pores, and higher-density inclusions can be detected. The high resolutions of modern XCT devices generate large volume datasets, which reveal very fine structures. However, this high information content makes the exploration and analysis of the datasets with conventional methods very diÿcult and time-consuming. In this doctoral thesis, typical NDT application scenarios of advanced composites using XCT are addressed and visual analysis methods and visualization techniques are designed to provide material experts with tools to improve their workflow and to eÿciently analyze the XCT data, so that domain-specific questions can be answered easily and quickly. This work describes a novel visualization system for the interactive exploration and detailed analysis of FRPs, a tool for the visual analysis and evaluation of segmentation filters to accurately determine porosity in FRPs, and a more general system for the visual comparison of interesting features in an ensemble of XCT datasets are presented. The results of the individual visualization systems are presented using real-world and simulated XCT data. The proposed visual analysis methods support the experts in their workflows by enabling improved data analysis processes that are simple, fast, and well-founded, and provide new insights into material characterization with XCT.

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BibTeX

@phdthesis{Weissenboeck_2019_PhD,
  title =      "Visual Analysis of Methods for Processing 3D X-ray Computed
               Tomography Data of Advanced Composites",
  author =     "Johannes Weissenb\"{o}ck",
  year =       "2019",
  abstract =   "Advanced composites have excellent mechanical properties at
               low weight and can be realized as complex components that
               can be manufactured quickly and cost-effectively. Due to
               these outstanding characteristics, these materials are used
               in many di˙erent areas of industry, such as aviation and
               automotive. Industrial 3D X-ray computed tomography (XCT) is
               used as a non-destructive testing (NDT) method to inspect
               the quality of components and to develop new advanced
               composite materials. XCT has the ability to determine the
               inner and outer geometries of a specimen non-destructively.
               For example, interesting features in fiber-reinforced
               polymers (FRPs) such as fibers, pores, and higher-density
               inclusions can be detected. The high resolutions of modern
               XCT devices generate large volume datasets, which reveal
               very fine structures. However, this high information content
               makes the exploration and analysis of the datasets with
               conventional methods very diÿcult and time-consuming. In
               this doctoral thesis, typical NDT application scenarios of
               advanced composites using XCT are addressed and visual
               analysis methods and visualization techniques are designed
               to provide material experts with tools to improve their
               workflow and to eÿciently analyze the XCT data, so that
               domain-specific questions can be answered easily and
               quickly. This work describes a novel visualization system
               for the interactive exploration and detailed analysis of
               FRPs, a tool for the visual analysis and evaluation of
               segmentation filters to accurately determine porosity in
               FRPs, and a more general system for the visual comparison of
               interesting features in an ensemble of XCT datasets are
               presented. The results of the individual visualization
               systems are presented using real-world and simulated XCT
               data. The proposed visual analysis methods support the
               experts in their workflows by enabling improved data
               analysis processes that are simple, fast, and well-founded,
               and provide new insights into material characterization with
               XCT.",
  month =      nov,
  address =    "Favoritenstrasse 9-11/E193-02, A-1040 Vienna, Austria",
  school =     "Research Unit of Computer Graphics, Institute of Visual
               Computing and Human-Centered Technology, Faculty of
               Informatics, TU Wien ",
  URL =        "/research/publications/2019/Weissenboeck_2019_PhD/",
}