Multiscale Extraction of Morphological Features in Woven CMCs

Chapoullié, C.; Germain, Christian; Costa, J‐P. Da; Vignoks, G. L.; Cataldi, Michel

doi:10.1002/9781118807743.ch22

Cited by 2 publications

(4 citation statements)

References 12 publications

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“…Though not adapted for large scale studies, 3-D imaging techniques could be used for the prior estimation of area distributions instead of 2-D imaging, thus avoiding difficulties relate to sample preparation. High resolution x-ray microtomography (Chapoullié et al, 2013) or x-ray coherent diffraction imaging (Miao et al, 2012) could be interesting alternatives.…”

Section: Resultsmentioning

confidence: 99%

“…Studies carried out on very high resolution X-ray Computarized Micro Tomography (CMT) scans (≈1-2 µm per pixel) allow a fine analysis of fiber size, orientation and density at the intra-yarn scale (e.g. Coindreau and Vignoles, 2005; Martín-Herrero and Germain, 2007;Chapoullié et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

“…For instance, when imaging composite structures at a microscopic scale, the use of tomography requires a compromise between resolution and sample size. Studies carried out on very high-resolution X-ray computerized micro-tomography (CMT) scans (≈1–2 μm/pixel) allow fine analysis of fiber size, orientation, and density at the intra-yarn scale (e.g., Coindreau & Vignoles, 2005; Martín-Herrero & Germain, 2007; Chapoullié et al, 2013). At such scales individual fibers can indeed be segmented and described but the weave itself (i.e., the mutual arrangement of yarns) cannot be investigated since only small samples of a few millimeters can be digitized.…”

Section: Introductionmentioning

confidence: 99%

“…scans~'1-2 mm/pixel! allow fine analysis of fiber size, orientation, and density at the intra-yarn scale~e.g., Coindreau & Vignoles, 2005;Martín-Herrero & Germain, 2007;Chapoullié et al, 2013!. At such scales individual fibers can indeed be segmented and described but the weave itself~i.e., the mutual arrangement of yarns! cannot be investigated since only small samples of a few millimeters can be digitized.…”

Section: Introductionmentioning

confidence: 99%

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Stereological Estimation of Orientation Distribution of Generalized Cylinders from a Unique 2D Slice

et al. 2013

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Though three-dimensional (3D) imaging gives deep insight into the inner structure of complex materials, the stereological analysis of 2D snapshots of material sections is still necessary for large-scale industrial applications for reasons related to time and cost constraints. In this paper, we propose an original framework to estimate the orientation distribution of generalized cylindrical structures from a single 2D section. Contrary to existing approaches, knowledge of the cylinder cross-section shape is not necessary. The only requirement is to know the area distribution of the cross-sections. The approach relies on minimization of a least squares criterion under linear equality and inequality constraints that can be solved with standard optimization solvers. It is evaluated on synthetic data, including simulated images, and is applied to experimental microscopy images of fibrous composite structures. The results show the relevance and capabilities of the approach though some limitations have been identified regarding sensitivity to deviations from the assumed model.

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Section: Resultsmentioning

confidence: 99%