five

Characterization of the Fiber Orientations in Non-Crimp Glass Fiber Reinforced Composites using Structure Tensor

收藏
Mendeley Data2024-05-10 更新2024-06-27 收录
下载链接:
https://zenodo.org/records/3877522
下载链接
链接失效反馈
官方服务:
资源简介:
This dataset contains data, notebooks and code used in the publication: [1] Jeppesen, N., V.A. Dahl, A.N. Christensen, A.B. Dahl, L.P. Mikkelsen, Characterization of the fiber orientations in non-crimp glass fiber reinforced composites using structure tensor. IOP Conf. Ser.: Mater. Sci. Eng. 942, 012037, https://doi.org/10.1088/1757-899X/942/1/012037, 2020 If you reference this dataset, please also consider referencing the paper above. HF401TT-13_FoV16.5_Stitch.zip contains an X-ray CT scan of a non-crimp glass fiber composite sample saved in the TXM file format. HF401TT-13_FoV16.5_Stitch.txm.nii contains a cut-out of the TXM data, where air around the sample has been removed and the result has been saved in the NIfTI file format. The two notebooks, StructureTensorFiberAnalysisDemo and StructureTensorFiberAnalysisAdvancedDemo rely on the NIfTI scan data, HF401TT-13_FoV16.5_Stitch.txm.nii. They demonstrate how to do structure tensor orientation analysis on the data. The HF401TT-13_FoV16.5_Stitch notebook use the TXM scan data, HF401TT-13_FoV16.5_Stitch.zip. It can be used to recreate the results of the published experimental results. To run the notebooks, the Python file, structure_tensor_workers.py, must be in the same directory as the notebook. By default, the notebooks expect the following folder structure: /notebooks: Folder with the notebooks and Python files. /originals: Folder with the data (TXM/NIfTI files). /tmp: Folder for temporary files and output generated running the notebooks. /notebooks/figures: Folder for exporting figures as files (only needed if you want to save figures as files).
创建时间:
2023-06-28
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作