FiberScout: An Interactive Tool for Exploring and Analyzing Fiber Reinforced Polymers

Weissenböck, Johannes; Amirkhanov, A.N.; Liu, Weimin; Reh, Andreas; Amirkhanov, Aleksandr; Gröller, Eduard; Kastner, Johann; Heinzl, Christoph

doi:10.1109/pacificvis.2014.52

Cited by 47 publications

(30 citation statements)

References 26 publications

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“…They encode the extracted fibers as color-coded line segments in 3D and visually identify fibers with similar orientations. Recently, Weissenböck et al [30] presented a system for interactive exploration and analysis of fibers in fiber reinforced polymers. They use the visualization paradigms of a scatter plot matrix and parallel coordinates to select fibers according to their characteristics.…”

Section: Visual Analysis and Modeling Of Fiber Reinforced Compositesmentioning

confidence: 99%

“…In order to interactively analyze and explore the individual fiber bundles, we have applied the FiberScout visualization concept introduced by Weissenböck et al [30] to the MetaTracts. Figure 10 shows the necessary steps to realize the interactive fiber bundle analysis tool.…”

Section: Interactive Visual Analysis Of Fiber Bundlesmentioning

confidence: 99%

“…With this additional information, the individual bundles are described in much more detail. According to the work of [30] we used the following characteristics to describe the fiber bundles: the main diagonal elements of the orientation tensors (a 11 , a 22 , a 33 ), spherical coordinates of the orientations (ϕ, θ ), Cartesian coordinates of the centers (X i , Y i , Z i ) and the volume. Furthermore, we calculate the X, Y, Z bounding box dimensions and the major axis length of a fiber bundle.…”

Section: Interactive Visual Analysis Of Fiber Bundlesmentioning

confidence: 99%

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Interactive Exploration and Visualization Using MetaTracts extracted from Carbon Fiber Reinforced Composites

Bhattacharya

Weissenböck

Wenger

et al. 2017

IEEE Trans. Visual. Comput. Graphics

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This work introduces a tool for interactive exploration and visualization using MetaTracts. MetaTracts is a novel method for extraction and visualization of individual fiber bundles and weaving patterns from X-ray computed tomography (XCT) scans of endless carbon fiber reinforced polymers (CFRPs). It is designed specifically to handle XCT scans of low resolutions where the individual fibers are barely visible, which makes extraction of fiber bundles a challenging problem. The proposed workflow is used to analyze unit cells of CFRP materials integrating a recurring weaving pattern. First, a coarse version of integral curves is used to trace sections of the individual fiber bundles in the woven CFRP materials. We call these sections MetaTracts. In the second step, these extracted fiber bundle sections are clustered using a two-step approach: first by orientation, then by proximity. The tool can generate volumetric representations as well as surface models of the extracted fiber bundles to be exported for further analysis. In addition a custom interactive tool for exploration and visual analysis of MetaTracts is designed. We evaluate the proposed workflow on a number of real world datasets and demonstrate that MetaTracts effectively and robustly identifies and extracts fiber bundles.

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Section: Visual Analysis and Modeling Of Fiber Reinforced Compositesmentioning

confidence: 99%

Section: Interactive Visual Analysis Of Fiber Bundlesmentioning

confidence: 99%

Section: Interactive Visual Analysis Of Fiber Bundlesmentioning

confidence: 99%

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Interactive Exploration and Visualization Using MetaTracts extracted from Carbon Fiber Reinforced Composites

Bhattacharya

Weissenböck

Wenger

et al. 2017

IEEE Trans. Visual. Comput. Graphics

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“…Reh et al [3] introduced an approach to explore pores in carbon fiber reinforced polymers. The FiberScout [4] allows domain experts to explore the characteristics of fiber reinforced polymers. All these techniques share the fact that they analyze a single condition of a specimen, but not a process the specimen is exposed to.…”

Section: Related Workmentioning

confidence: 99%

Fuzzy feature tracking: Visual analysis of industrial 4D-XCT data

Reh

Amirkhanov

Kastner

et al. 2015

Computers & Graphics

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“…The resulting volumetric image is then further processed to characterize features, such as the fiber direction or spatial distribution of the fibers, which have an influence on B Tim Elberfeld the mechanical properties of the materials. Current methods to characterize the structural properties of GFRP from high resolution µCT images rely on a sequential work flow comprised of volumetric reconstruction from a large number of projections (typically > 1000) and subsequent fiber segmentation and image analysis [2][3][4][5][6].…”

Section: Introductionmentioning

confidence: 99%

Parametric Reconstruction of Glass Fiber-reinforced Polymer Composites from X-ray Projection Data—A Simulation Study

et al. 2018

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We present a new approach to estimate geometry parameters of glass fibers in glass fiber-reinforced polymers from simulated X-ray micro-computed tomography scans. Traditionally, these parameters are estimated using a multi-step procedure including image reconstruction, pre-processing, segmentation and analysis of features of interest. Each step in this chain introduces errors that propagate through the pipeline and impair the accuracy of the estimated parameters. In the approach presented in this paper, we reconstruct volumes from a low number of projection angles using an iterative reconstruction technique and then estimate position, direction and length of the contained fibers incorporating a priori knowledge about their shape, modeled as a geometric representation, which is then optimized. Using simulation experiments, we show that our method can estimate those representations even in presence of noisy data and only very few projection angles available.

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FiberScout: An Interactive Tool for Exploring and Analyzing Fiber Reinforced Polymers

Cited by 47 publications

References 26 publications

Interactive Exploration and Visualization Using MetaTracts extracted from Carbon Fiber Reinforced Composites

Interactive Exploration and Visualization Using MetaTracts extracted from Carbon Fiber Reinforced Composites

Fuzzy feature tracking: Visual analysis of industrial 4D-XCT data

Parametric Reconstruction of Glass Fiber-reinforced Polymer Composites from X-ray Projection Data—A Simulation Study

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