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Geometric parameters characterization of minicomposite and modulus prediction of 2D composite based on X-ray computed tomography
Abstract:The reconstruction quality of a three-dimensional (3D) model of woven composites and the mechanical performance of minicomposites have an important influence on the accuracy of finite element (FE) analysis. Through edge detection and morphological operations, the cross-sectional area of a SiC/SiC minicomposite and the volume content of each component were calculated. This method can also be used to obtain the pore distribution. For the SiC/SiC two-dimensional (2D) woven composite, the structure tensor was used to initially classify the weft and warp in the top view of the X-ray computed tomography (XCT) image, and then, the front view was derived to readily correct the misclassification regions. The edge equivalent is proposed because watershed segmentation cannot compute the edge at the overlapping regions. Then, multiple morphological operations were applied to achieve accurate individual warp recognition. Finally, comparing the modulus predicted by the reconstructed FE model with the experimental results, the prediction was found to be in good agreement with the experiment.
Keywords:Fabrics/textiles  Minicomposites  Model reconstruction  Parameters characterization  X-ray computed tomography
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