DOI: 10.5061/dryad.9cnp5hqsm
title: Data from: Detecting damage in composites using volume decomposition analysis of tomographic data

description: This dataset contains X-ray computed tomographic data of a ceramic matrix
 composite (CMC) single tow mini-composite specimen collected at four
 tensile load levels (40, 80, 120, 160 N). The specimen was prepared from
 Hi-Nicalon™ Type S (HNS) fibres with an average diameter of 12 microns
 (Nippon Carbon Co., Ltd., Tokyo, Japan), which were coated through a
 chemical vapor infiltration (CVI) process with boron nitride (BN).
 Subsequently the fibres were overlaid with a silicon carbide (SiC) matrix
 also applied via the CVI process. The sample was loaded in situ at the
 Advanced Light Source at the Berkeley National Laboratory in Beamline
 8.3.2, where X-ray scans were collected at four tensile load levels, i.e.,
 40, 80, 120 and 160 N. Tomographic data collection was carried out in
 white light mode with photon energy of 43 keV, with 180 degree rotation
 and 1024 steps. The voxel size in reconstructions was 0.67 µm and image
 files were output as 32 bit.
description: # X-ray computed tomography data supporting “Detecting damage in
 composites using volume decomposition analysis of tomographic data”
 [https://doi.org/10.5061/dryad.9cnp5hqsm](https://doi.org/10.5061/dryad.9cnp5hqsm) This dataset contains X-ray computed tomographic data of a ceramic matrix composite (CMC) single tow mini-composite specimen collected at four tensile load levels (40, 80, 120, 160 N). The specimen was prepared from Hi-Nicalon™ Type S (HNS) fibres with an average diameter of 12 microns (Nippon Carbon Co., Ltd., Tokyo, Japan), which were coated through a chemical vapor infiltration (CVI) process with boron nitride (BN). Subsequently the fibres were overlaid with a silicon carbide (SiC) matrix also applied via the CVI process. The sample was loaded in situ at the Advanced Light Source at the Berkeley National Laboratory in Beamline 8.3.2, where X-ray scans were collected at four tensile load levels, i.e., 40, 80, 120 and 160 N. Tomographic data collection was carried out in white light mode with photon energy of 43 keV, with 180 degree rotation and 1024 steps. The voxel size in reconstructions was 0.67 µm and image files were output as 32 bit. This data has been used in Middleton et al., **2024** Detecting damage in composites using volume decomposition analysis of tomographic data. *Proc. R. Soc. A *480: 20240379. [https://doi.org/10.1098/rspa.2024.0379](https://doi.org/10.1098/rspa.2024.0379). ## Description of the data and file structure There are four X-ray CT datasets collected at four tensile loads (40, 80, 120 and 160 N). Each dataset at a given load consists of a series of 2D images (.tiff files) generated from the X-ray computed tomography reconstruction. Each tiff file represents a slice nominally perpendicular to the fibre length and load axis (z-direction), one pixel in each image = 0.6 µm in the x and y direction. Files are named using the format “LLN_X-CT_ZZZZ.tiff”, where LL is the tensile load (in Newtons) and ZZZZ is a sequential number, indicating the z position of the slice within the dataset (0001 is the base of the dataset). The 3D datasets can be reconstructed by stacking these 2D slices. Each slice is separated from the next by 0.6 µm in the z-direction. Each dataset is split into four folders: **1) 40 N** a. 40N_X-CT_DataA.zip (‘40N_X-CT_0001.tiff’ – ‘..._0540.tiff'; 540 files) b. 40N_X-CT_DataB.zip (‘40N_X-CT_0541.tiff’ – ‘..._1080.tiff'; 540 files) c. 40N_X-CT_DataC.zip (‘40N_X-CT_1081.tiff’ – ‘..._1620.tiff'; 540 files) d. 40N_X-CT_DataD.zip (‘40N_X-CT_1621.tiff’ – ‘..._2142.tiff'; 522 files) **2) 80 N** a. 80N_X-CT_DataA.zip (‘80N_X-CT_0001.tiff’ – ‘..._0540.tiff'; 540 files) b. 80N_X-CT_DataB.zip (‘80N_X-CT_0541.tiff’ – ‘..._1080.tiff'; 540 files) c. 80N_X-CT_DataC.zip (‘80N_X-CT_1081.tiff’ – ‘..._1620.tiff'; 540 files) d. 80N_X-CT_DataD.zip (‘80N_X-CT_1621.tiff’ – ‘..._2158.tiff'; 538 files) **3) 120 N** a. 120N_X-CT_DataA.zip (‘120N_X-CT_0001.tiff’ – ‘..._0540.tiff'; 540 files) b. 120N_X-CT_DataB.zip (‘120N_X-CT_0541.tiff’ – ‘..._1080.tiff'; 540 files) c. 120N_X-CT_DataC.zip (‘120N_X-CT_1081.tiff’ – ‘..._1620.tiff'; 540 files) d. 120N_X-CT_DataD.zip (‘120N_X-CT_1621.tiff’ – ‘..._2160.tiff'; 540 files) **4) 160 N** a. 160N_X-CT_DataA.zip (‘160N_X-CT_0001.tiff’ – ‘..._0540.tiff'; 540 files) b. 160N_X-CT_DataB.zip (‘160N_X-CT_0541.tiff’ – ‘..._1080.tiff'; 540 files) c. 160N_X-CT_DataC.zip (‘160N_X-CT_1081.tiff’ – ‘..._1620.tiff'; 540 files) d. 160N_X-CT_DataD.zip (‘160N_X-CT_1621.tiff’ – ‘..._2160.tiff'; 540 files)