DOI: 10.5281/zenodo.13862632
title: Quantitative Fiber Orientation Analysis of Carbon Fiber Sheet Molding Compounds using Polarization Imaging and X-Ray Computed Tomography

description: This data set is the supplementary material for the paper[1] M. Duhovic, A. Keilmann, D. Schommer, C. Redenbach, K. Schladitz, 2024. Quantitative Fiber Orientation Analysis of Carbon Fiber Sheet Molding Compounds using Polarization Imaging and X-Ray Computed Tomography.Here, we validated polarization imaging of carbon sheet molding compounds (C-SMC) for fiber orientation estimation.It includes polarization and computed tomography (CT) images of 8 C-SMC specimens.



Polarization images: Each specimen has 2 polarization images, one for the top surface and one for the bottom surface, representing the local fiber orientation. The fiber orientations are coded as integer values in degrees, ranging from 1° to 180°, with 0 indicating the image background. The orientation system is anti-clockwise with 0° aligned with the negative y-axis. For example, rotating 30° anti-clockwise from the direction of the x-axis yields 120°. The images are of size 1232x1028 pixels with a pixel spacing of 210 um (filetype: TIF).

CT scans: Nine tiles were cut from each specimen, and each tile was scanned using CT to capture the fibers. We provide the aligned x-y-slices of size 1520x1520 with a voxel spacing of 25 um (filetype: PNG).

Fiber orientations: The dataset also includes fiber orientations (only within the x-y-plane) derived from the CT images. The fiber orientations are coded as integer values in degrees, ranging from 1° to 180°, with 0 indicating the image background. The orientation system is clockwise with 0° aligned with the negative x-axis. For example, rotating 30° anti-clockwise from the direction of the x-axis yields 150°. These images are 1440x1440 pixels with a voxel spacing of 25 um (filetype: TIF). The fiber orientations were calculated using methods described in the accompanying paper. Note: The images' orientation system differs from the one of the polarization images. This is taken into account in the accompanying code and analyses.

Source code: The dataset is processed with a jupyter notebook to register the polarization and CT images and calculate the final similarity measure. Density analysis was conducted in R. Both the jupyter notebook and the R Notebook contain the results for each specimen.


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For each investigated specimen (stored in directories labeled C-SMC_*), the dataset is structured as follows:



polarization_image/: Contains two polarization images for each specimen, representing the top (*t.bmp) and bottom (*b.bmp) surfaces.Example:C-SMC_19/polarization_image/19t.tif (top surface)C-SMC_01/polarization_image/19b.tif (bottom surface)

CT/: Contains CT image slices of the CT, organized by tile for each specimen. Each tile consists of multiple x-y aligned slices.Example:C-SMC_19/CT/tile1/Slice000.pngC-SMC_19/CT/tile1/Slice001.pngC-SMC_19/CT/tile2/Slice000.png

fiber_orientations/: Contains the fiber orientation results calculated from the CT images for each tile of the specimen.Example:C-SMC_19/fiber_orientations/tile1/Slice000.tifC-SMC_19/fiber_orientations/tile1/Slice001.tifC-SMC_19/fiber_orientations/tile2/Slice000.tif


The source code is stored in the directory src.

For more details, refer to [1].