Visualization of Fiber Orientation in Glass Fiber Reinforced Polymers

Lukas Lipp
Visualization of Fiber Orientation in Glass Fiber Reinforced Polymers
[Bachelor Thesis] [image]

Information

Abstract

Fiber-reinforced composites are materials used for their extraordinary characteristics. The importance of these materials is constantly increasing, therefore, a wide range of variations exists of this material. Types range from Carbon Fiber Reinforced Polymer to Fiber-reinforced Foamed Urethane and more. Fiber-reinforced composites are lightweight, strong, and durable, among others and are therefore used for printed circuit boards, railway sleepers, airplanes or Formula 1 vehicles. To assure that these materials provide the required quality, they need to be tested and analyzed. To analyze these materials or to be more exact, the fibers within, special tools are needed. The first step is to scan the material with a X-ray Computed Tomography (CT) and save it as a volumetric CT-image on a computer. Now this data can be used to analyze the structure and find flaws in the dataset. In this thesis, a program for a later integration in a software called open_iA to extend its range of features, is developed. Purpose of the developed program is to analyze the orientation of fibers in a dataset. The result will be visualized with two different graphs. One shows the orientation of the fibers, while the other shows how many fibers are visible to the analyst. With the option of different configurations, it is possible to further specify these visualizations and get a better understanding of the underlying data.

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BibTeX

@bachelorsthesis{lipp-2017-mgpu,
  title =      "Visualization of Fiber Orientation in Glass Fiber Reinforced
               Polymers",
  author =     "Lukas Lipp",
  year =       "2018",
  abstract =   "Fiber-reinforced composites are materials used for their
               extraordinary characteristics. The importance of these
               materials is constantly increasing, therefore, a wide range
               of variations exists of this material. Types range from
               Carbon Fiber Reinforced Polymer to Fiber-reinforced Foamed
               Urethane and more. Fiber-reinforced composites are
               lightweight, strong, and durable, among others and are
               therefore used for printed circuit boards, railway sleepers,
               airplanes or Formula 1 vehicles. To assure that these
               materials provide the required quality, they need to be
               tested and analyzed. To analyze these materials or to be
               more exact, the fibers within, special tools are needed. The
               first step is to scan the material with a X-ray Computed
               Tomography (CT) and save it as a volumetric CT-image on a
               computer. Now this data can be used to analyze the structure
               and find flaws in the dataset. In this thesis, a program for
               a later integration in a software called open_iA to extend
               its range of features, is developed. Purpose of the
               developed program is to analyze the orientation of fibers in
               a dataset. The result will be visualized with two different
               graphs. One shows the orientation of the fibers, while the
               other shows how many fibers are visible to the analyst. With
               the option of different configurations, it is possible to
               further specify these visualizations and get a better
               understanding of the underlying data.",
  month =      jan,
  address =    "Favoritenstrasse 9-11/186, A-1040 Vienna, Austria",
  school =     "Institute of Computer Graphics and Algorithms, Vienna
               University of Technology",
  URL =        "https://www.cg.tuwien.ac.at/research/publications/2018/lipp-2017-mgpu/",
}