用于X射线计算机断层扫描辅助工程过程的非卷曲织物增强复合材料数据集。
Dataset of non-crimp fabric reinforced composites for an X-ray computer tomography aided engineering process.
作者信息
Auenhammer Robert M, Mikkelsen Lars P, Asp Leif E, Blinzler Brina J
机构信息
Industrial and Materials Science, Chalmers University of Technology, SE-41296 Göteborg, Sweden.
Composite Materials, DTU Wind Energy, Technical University of Denmark, DK-4000 Roskilde, Denmark.
出版信息
Data Brief. 2020 Nov 10;33:106518. doi: 10.1016/j.dib.2020.106518. eCollection 2020 Dec.
This data in brief article describes a dataset used for an X-ray computer tomography aided engineering process consisting of X-ray computer tomography data and finite element models of non-crimp fabric glass fibre reinforced composites. Additional scanning electron microscope images are provided for the validation of the fibre volume fraction. The specimens consist of 4 layers of unidirectional bundles each supported by off-axis backing bundles with an average orientation on ±80° The finite element models, which were created solely on the image data, simulate the tensile stiffness of the samples. The data can be used as a benchmark dataset to apply different segmentation algorithms on the X-ray computer tomography data. It can be further used to run the models using different finite element solvers.
这篇简短的数据文章描述了一个用于X射线计算机断层扫描辅助工程过程的数据集，该数据集由X射线计算机断层扫描数据和非卷曲织物玻璃纤维增强复合材料的有限元模型组成。还提供了额外的扫描电子显微镜图像以验证纤维体积分数。试样由4层单向束组成，每层由平均取向为±80°的离轴支撑束支撑。仅基于图像数据创建的有限元模型模拟了样品的拉伸刚度。该数据可作为基准数据集，用于对X射线计算机断层扫描数据应用不同的分割算法。它还可进一步用于使用不同的有限元求解器运行模型。
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