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Microtomography dataset for Prediction of linear and non-linear behavior of 3D woven composite using mesoscopic voxel models reconstructed from X-ray micro-tomography

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Mendeley Data2026-08-04 收录
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This dataset contains the Z-slices of the reconstructed microtomography images in .tif format of 3D textile-reinforced composites. The preform was manufactured using Owen Corning SE 1200 Type 30 E-glass roving. The areal density of the preform was 1732 g/m², and the weave densities in the warp (ends count) and weft (picks count) directions were 6.89 and 6.92 yarns/cm, respectively. Vacuum infusion was used to impregnate the 3D orthogonal woven preforms. Epolam 5015 epoxy resin and 5015 hardener (Axson Technologies) were mixed at a mass ratio of 10:3 to prepare the resin system. The material properties of the fiber and resin are summarized in Table 1. The infusion process was performed under a vacuum pressure of −0.9 bar, followed by curing in an autoclave at 50 °C for 2 h according to the manufacturer's datasheet. No additional compression load was applied to the preform during the curing process. Samples were cut from the final composite panel and inspected using micro-computed tomography (micro-CT). Image acquisition was performed using an UltraTom RxSolution 3D CT system. A nano-focus X-ray tube was used with an operating voltage of 60 kV and a current of 70 µA, without any additional filter. A flat-panel detector with 1920 × 1536 pixels was used for image acquisition, resulting in a spatial resolution of 4.07 µm/pixel. This dataset has been used in several publications: https://doi.org/10.1016/j.compstruct.2017.07.066 https://doi.org/10.1016/j.compstruct.2020.112438 https://doi.org/10.1007/s10853-020-05225-x If you are developing a new damage model or proposing an original segmentation methodology, you can use this dataset as a reference. These data were acquired on the ISIS4D platform. The ISIS4D X-Ray CT platform has been funded by International Campus on Safety and Intermodality in Transportation (CISIT), the Nord-Pas-de-Calais Region, the European Community and the National Center for Scientific Research. The authors gratefully acknowledge the support of these institutions.

创建时间:
2026-07-23
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