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4 results for “Carbon fibre composites”
Data from: "Damage deflection and subsequent damage diffusion in carbon-boron fibre hybrid composites under longitudinal compression"
<p>The datset contains raw data used for the work presented in the journal paper "Damage deflection and subsequent damage diffusion in carbon-boron fibre hybrid composites under longitudinal compression".<br>Specifically, it contains machine recorded data and video recordings (either SEM or with optical microscope) of the compression tests on small scale single edge notched specimens made of IM7/8552 (carbon/epoxy) and HyBor 52 FPI (carbon-boron fibre hybrid composite). It also contains specimens pictures taken during and after the tests (including SEM and optical micrographs).</p> <p>For more details, please refer to the full paper.</p>
Translaminar Fracture in a Mini-Protruded Compact Tension Specimen: A Dataset of Micro-Scale Tomograms of a Thin-Ply Carbon Fibre-Epoxy Composite acquired via Synchrotron Radiation Computed Tomography During In-Situ Loading
<p>In this study, we developed a scaled-down “mini-protruded compact tension specimen” to facilitate in-situ tensile testing coupled with synchrotron radiation computed tomography (SRCT). This innovative design provides valuable insights into in-situ translaminar damage mechanisms, significantly enhancing the accuracy of data used in finite element models.</p> <p>The specimen is made of HS40 carbon fibres and ThinPreg<sup>TM </sup>736LT epoxy resin, with the layup of [90<sub>2</sub>/0/90<sub>2</sub>/0/90<sub>2</sub>/0/90<sub>2</sub>]. The translaminar fracture experiments were conducted under continuous loading and scanning using ultra-fast SRCT at the Swiss Light Source (SLS) TOMCAT beamline (Paul Scherrer Institut in Villigen, Switzerland). A polychromatic beam with an energy of 24 keV was used. The achieved voxel size was 800 <em>nm</em>, and 1000 projections per scan and 2 <em>ms</em> exposure time were acquired per scan. The GigaFRoST camera served as the detector. The scans were reconstructed into 3D volumes using the SLS’s in-house absorption-based algorithm (Gridrec) for critical loading steps during a test—both before and after a load drop (detailed in the accompanying Excel file). The tensile loading was exerted on the specimen at a rate of 0.2 <em>mm/min</em> until failure during scanning with the Deben CT500.</p>
Unpaired fast- and slow-acquisition microCT scans of carbon-fibre-reinforced composites
<p>data.zip contains tomographic images of carbon-fibre-reinforced composites with <a href="https://www.toraycma.com/wp-content/uploads/T700S-Technical-Data-Sheet-1.pdf.pdf">Toray T700S</a> fibres in a <a href="http://sicomin.com/datasheets/product-pdf1123.pdf">Sicomin SR8500 KTA313</a> epoxy matrix.</p> <p>The datasets accompany the paper <a href="https://doi-org.remotexs.ntu.edu.sg/10.1016/j.compscitech.2023.110278" target="_blank" rel="noopener"><em>Deep-learning image enhancement and fibre segmentation from time-resolved computed tomography of fibre-reinforced composites</em></a>.</p> <p>They are used in a two-step process:<br>1) to train a 3DCycleGAN enhancement algorithm available on <a href="https://github.com/pvilla/3DCycleGaN">https://github.com/pvilla/3DCycleGaN</a>.<br>2) to train a UNetID segmentation algorithm available on <a href="https://github.com/CMG-KULeuven/UnetID-FibreSeg">https://github.com/CMG-KULeuven/UnetID-FibreSeg</a>.</p> <p>The tomograms were acquired at the TOMCAT Beamline at the Swiss Light Source in October 2021.</p> <p>Acquisition specifications:</p> <p>T700_GF_0p8um_1ms:</p> <ul> <li>detector: GigaFRoST</li> <li>effective voxel size: 800x800x800 nm³</li> <li># projections: 500</li> <li>exposure time: 1 ms</li> <li>total acquisition time: 500 x 1 ms = 0.5 s</li> <li>beam: polychromatic</li> <li>datasets: (same sample, different regions)<br>T700-T-21_GF_0p8um_1ms_1.h5<br>T700-T-21_GF_0p8um_1ms_2.h5<br>T700-T-21_GF_0p8um_1ms_3.h5</li> </ul> <p>T700_GF_1p6um_0p5ms:</p> <ul> <li>detector: GigaFRoST</li> <li>effective voxel size: 1600x1600x1600 nm³</li> <li># projections: 500</li> <li>exposure time: 0.5 ms</li> <li>total acquisition time: 500 x 0.5 ms = 0.25 s</li> <li>beam: polychromatic</li> <li>files: (same sample, different regions)<br>T700-T-21_GF_1p6um_0p5ms_1.h5<br>T700-T-21_GF_1p6um_0p5ms_2.h5</li> </ul> <p>T700_GF_1p6um_3ms:</p> <ul> <li>detector: GigaFRoST</li> <li>effective voxel size: 1600x1600x1600 nm³</li> <li># projections: 500</li> <li>exposure time: 3 ms</li> <li>total acquisition time: 500 x 3 ms = 1.5 s</li> <li>beam: polychromatic</li> <li>files: (same sample, different regions)<br>T700-T-21_GF_1p6um_3ms_1.h5<br>T700-T-21_GF_1p6um_3ms_2.h5<br>T700-T-21_GF_1p6um_3ms_3.h5<br>T700-T-21_GF_1p6um_3ms_4.h5<br>T700-T-21_GF_1p6um_3ms_5.h5</li> </ul> <p>T700_pco_0p4um:</p> <ul> <li>detector: pco.edge 5.5</li> <li>effective voxel size: 400x400x400 nm³ (scaled from 325x325x325 nm³)</li> <li># projections: 2000</li> <li>exposure time: 250 ms</li> <li>total acquisition time: 2000 x 250 ms = 500 s</li> <li>beam: 15 keV</li> <li>files: (different samples)<br>T700-T-02_pco_0p4um.h5<br>T700-T-08_pco_0p4um.h5<br>T700-T-21_pco_0p4um_reference.h5<br>T700-T-26_pco_0p4um.h5</li> </ul> <p>3DCycleGAN_trained_models.zip contains pre-trained models for the 3DCycleGAN enhancement algorithm.</p> <p>UnetID_trained_models.zip contains pre-trained models for the UNetID segmentation algorithm.</p>
3D orthogonal woven carbon fibre fabric and composites - Micro-computed tomography scans
<p>Computed tomography images of a 3D orthogonal woven carbon fibre fabric and composites. Detailed description can be found in the attached metadata files as well as in the associated paper: <a href="https://doi.org/10.1016/j.compositesa.2013.10.004">https://doi.org/10.1016/j.compositesa.2013.10.004</a></p> <p>The sample was used for geometrical analysis and for creating a TexGen model with the subsequent permeability and mechanical modelling.</p>
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