Mehdikhani Mahoor, Straumit Ilya, Gorbatikh Larissa, Lomov Stepan V
KU Leuven, Department of Materials Engineering, Kasteelpark Arenberg 44, 3001, Leuven, Belgium.
SIM M3 program, Technologiepark 935, B-9052, Zwijnaarde, Belgium.
Data Brief. 2019 Oct 18;27:104686. doi: 10.1016/j.dib.2019.104686. eCollection 2019 Dec.
In the current data article, we present detailed characteristics of voids in carbon/epoxy composite laminates, along with the original image stacks obtained via X-ray micro-Computed Tomography (micro-CT). Five different lay-ups are produced with altering the recommended cure cycle in order to intentionally induce voids in the material. For each lay-up, an image stack (consisting of tomographic slices) and a dataset are provided. The image slices are in 8-bit TIF format. The datasets (spreadsheets) include the volume, size parameters, shape parameters, orientation, and location of the ellipsoids that are fitted to the detected voids in the specimen. The segmentation of the images and quantification of voids are performed in , an in-house software for processing of micro-CT results. The processing and interpretation of the data is reported in [1]. The data is hosted in the repository at [2].
在当前的数据文章中,我们展示了碳/环氧复合层压板中孔隙的详细特征,以及通过X射线显微计算机断层扫描(显微CT)获得的原始图像堆栈。通过改变推荐的固化周期制作了五种不同的铺层,以便有意在材料中引入孔隙。对于每种铺层,都提供了一个图像堆栈(由断层切片组成)和一个数据集。图像切片为8位TIF格式。数据集(电子表格)包括拟合到试样中检测到的孔隙的椭球体的体积、尺寸参数、形状参数、方向和位置。图像分割和孔隙量化是在一个用于处理显微CT结果的内部软件中进行的。数据的处理和解释在[1]中有报道。数据托管在[2]的存储库中。