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10 results for “Glass fibre”
Melting glass fibres recovered from wind turbine blades into new glass fibres for wind turbine blades: Dataset
<p><strong><span>Melting glass fibres recovered from wind turbine blades into new glass fibres for wind turbine blades: Dataset.</span></strong></p> <p><span>In the study titled “Melting glass fibres recovered from wind turbine blades into new glass fibres for wind turbine blades”, four different types of glass fibres were manufactured with varying fractions of recycled fibre powder, 0 wt%, 1.64 wt%, 1.90 wt% or 1.96 wt%. Furthermore, these glass fibre types were used to manufacture composite specimens and characterised by static tension tests in fibre and transverse directions. </span></p> <p><span>This dataset is a collection of 13 Excel files.</span></p> <p><span>The “Glass fibre properties and Weibull analysis” Excel file summarise the single fibre tensile testing of glass fibre types and strength analysis using unimodal 2-parameter Weibull theory. There are four sheets in the Excel files for 0 wt%, 1.64 wt%, 1.90 wt% or 1.96 wt% glass fibres. </span></p> <p><span>The Excel files “Single glass fibres-Stress-strain curves-0 %, 1.64 %, 1.90 %, 1.96 %” contains the raw data of individual fibres obtained from the single fibre tensile testing experiments.</span></p> <p><span>There are eight Excel files containing the raw data of static tensile tests in the fibre and transverse direction of the composites made with glass fibres were manufactured with varying fractions of recycled fibre powder, 0 wt%, 1.64 wt%, 1.90 wt% or 1.96 wt%.</span></p>
GFRP Glass fibre plain weave laminate - Micro-computed tomography scans
<p>A sample of computed tomography image of a glass fibre plain weave laminate. 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.2015.03.027">https://doi.org/10.1016/j.compositesa.2015.03.027 </a></p> <p>The sample was used for geometrical analysis and for creating a TexGen model with the subsequent image-based permeability modelling.</p>
Test results from quasi-static impact tests over SMC materials reinforced with glass fibre (ramdom and textile)
<p>Test results from quasi-static impact tests over SMC materials with structural properties conceived for automotive applications, reinforced with glass fibre (samples with ramdom distribution of fibres and samples reinforced with GF textile)</p>
Results from DSC analysis over glass fibre reinforced SMC (50009092 grade by Menzolit supplier)
<p>Results from DSC analysis over glass fibre reinforced SMC automotive grade (50009092 grade provided by Menzolit supplier)</p>
Results from DSC analysis over glass fibre reinforced SMC (50007150 grade by Menzolit supplier)
<p>Results from DSC analysis over glass fibre reinforced SMC for automotive applications (50007150 grade provided by Menzolit supplier)</p>
A multimodal data-set of a unidirectional glass fibre reinforced polymer composite
<p>Please cite the following article when using the data-sets hereby shared:</p> <p>Emerson, M.J., Dahl, V.A., Conradsen, K., Mikkelsen, L.P. and Dahl, A.B., 2018. A multimodal data-set of a unidirectional glass fibre reinforced polymer composite. <em>Data in brief</em>, <em>18</em>, pp.1388-1393.</p> <p>These data-sets were used for validating the use of X-ray tomography and our dictionary-based probabilistic method for detection of individual fibres, for more information see the following article:</p> <p>Emerson, M.J., Dahl, V.A., Conradsen, K., Mikkelsen, L.P. and Dahl, A.B., 2018. Statistical validation of individual fibre segmentation from tomograms and microscopy. <em>Composites Science and Technology</em>, <em>160</em>, pp.208-215.</p>
X-ray computed tomography and scanning electron microscopy datasets of unidirectional and textured glass fibre composites.
<p>3D x-ray tomography and 2D scanning electron microscopy (SEM) data behind the publications: </p> <p>Salling, F.B, Jeppesen, N., Sonne, M.R., Hattel, J.H., Mikkelsen, L.P. Individual Fibre Inclination Segmentation from X-ray Computed Tomography using Principal Component Analysis, <em>Journal of Composite Materials</em>, <strong>56</strong>, 83-98, <a href="https://doi.org/10.1177%2F00219983211052741">https://doi.org/10.1177/00219983211052741</a>, 2022.</p> <p>to where the reference should be given if used. </p> <p>Details on the data-set is given in the supplementary document found together with the data</p> <p>The data-files is given for the two material case called Mock and UD. For each material case, the data is given as:</p> <ul> <li>.txm-files: 3D reconstructed x-ray scan files <ul> <li>FoV 2mm binning 2 (analyzed in the paper)</li> <li>FoV 4mm binning 1 (additional data-set)</li> </ul> </li> <li>2Dtif.zip-files: 2D tif-stack version of the 3D reconstructed data-set</li> <li>.tif-files: stitched SEM scanning file used for fiber volume fraction determination</li> <li>.hdr-files: meta-data ASCII file behind the SEM scan</li> <li>tif.zip-files: The individual images behind the stitched SEM scanning file</li> <li>fig-files: digital form of the fibre trajectories colored according to their individual mean inclination used in figure xx in reference yy</li> <li>m-files: Matlab-script for calculating the fibre volume fraction (Vf) from the SEM image</li> <li>mat-files: Mat-file with the segmented part in the SEM image used for the Vf calculation</li> </ul>
Ultra-fast time-lapse synchrotron radiation CT imaging of compressive failure in unidirectional glass fibre-epoxy composite
<p>This series of ultra-fast X-ray computed tomography datasets were acquired on the TOMCAT beamline at the Swiss Light Source by the composite group at Henry Moseley X-ray Imaging Facility (within the Henry Royce Institute @Manchester).</p> <p>The experiment was designed to help understand the catastrophic failure of unidirectional fibre reinforced composites under compression, as part of Ying Wang's PhD project (<em>Damage Mechanisms Associated with Kink-Band Formation in Unidirectional Fibre Composites</em>) supervised by Prof. Philip J. Withers.</p> <p>A notched unidirectional glass fibre-epoxy composite specimen was loaded in-situ under compression in a tension/compression rig developed at INSA-Lyon. An initial scan of the composite gauge section was acquired before loading (GFRP_Initial.zip). During the in-situ loading process, the composite specimen was imaged statically at 200 N (GFRP_Static_200N.zip) and 600 N (GFRP_Static_600N.zip), after which the acquisition mode was changed to continuous streaming in order to capture the final stages immediately leading up to failure, at 876 N (GFRP_Continuous_876N.zip), 893 N (GFRP_Continuous_893N.zip), 895 N (GFRP_Continuous_895N.zip), and right after collapse (at 79 N, GFRP_Failed.zip).</p> <p>The CT acquisition speed attained 1 tomogram per second. The voxel size of the reconstructed CT data-sets is (1.1 μm)<sup>3</sup>.</p> <p> </p> <p><strong>Update regarding the fibre trajectories on 20 August 2024:</strong></p> <p>The extracted fibre trajectories dataset for Fig.4 in the published paper "<em>Wang, Y., Emerson, M. J., Conradsen, K., Dahl, A. B., Dahl, V. A., Maire, E. and Withers, P. J. (2021). Evolution of Fibre Deflection Leading to Kink-band Formation in Unidirectional Glass Fibre/Epoxy Composite Under Axial Compression. Composites Science and Technology, 213, 108929. " </em>has been added to this new version.</p> <p>Please note that the centre positions of 5229 fibres (the row number of x and y coordinates corresponds to the fibre number) on the 1264 xy CT slices (the column number of x and y coordinates corresponds to the slice number) were stored in this file. The x, y, and z (slice number) coordinates all need to be multiplied by the voxel size of 1.1 μm to get the physical positions of the fibre trajectories.</p> <p> </p> <p><strong>For use of the data, please cite the DOI of the repository </strong><strong>and the relevant papers -</strong></p> <p><em><strong>http://doi.org/10.5281/zenodo.13348028</strong></em></p> <p><em>Wang, Y., Emerson, M. J., Conradsen, K., Dahl, A. B., Dahl, V. A., Maire, E. and Withers, P. J. (2021). Evolution of Fibre Deflection Leading to Kink-band Formation in Unidirectional Glass Fibre/Epoxy Composite Under Axial Compression. Composites Science and Technology, 213, 108929. </em></p> <p><em>Emerson, M. J., Wang, Y., Withers, P. J., Conradsen, K., Dahl, A. B., and Dahl, V. A. (2018). Quantifying fibre reorientation during axial compression of a composite through time-lapse X-ray imaging and individual fibre tracking. Composites Science and Technology, 168, 47-54. </em></p> <p><em>Wang, Y., Garcea, S. C., Lowe, T., Maire, E., Soutis, C. and Withers, P. J. (2016). Ultra-fast time-lapse synchrotron radiographic imaging of compressive failure in CFRP. In ECCM16-16th European Conference on Composite Materials, Munich, Germany.</em></p> <p><em>Garcea, S. C. , Wang, Y. and Withers, P. J. (2018). X-ray computed tomography of polymer composites, Composites Science and Technology (156), 305-319.</em></p> <p><em>Wang, Y., Garcea, S. C. and Withers, P. J. (2018). Computed Tomography of Composites in Comprehensive Composite<br>Materials II (7), 101-118. Eds. Beaumont PWR, Zweben CH. Elsevier.</em></p> <p> </p> <p><strong>Contact details of the authors: </strong></p> <p>Ying Wang - ywang1@buaa.edu.cn</p> <p>Philip J. Withers - p.j.withers@manchester.ac.uk</p>
Local fibre volume fraction in non-crimp glass-fibre reinforced composites based on scanning electron microscopy.
<p>SEM data and segmentation of two non-crimp fabric cases used in the following two publications to where the references should be given. </p> <p>Sørensen, B.F., Goutianos, S., Mikkelsen, L.P., Fæster, S. (2021). Fatigue damage growth and fatigue life of unidirectional composites. Composites Science and Technology, (in press), <a href="https://doi.org/10.1016/j.compscitech.2021.108656">https://doi.org/10.1016/j.compscitech.2021.108656</a></p> <p>Mikkelsen, L.P., Fæster, S., Goutianos, S., Sørensen, B.F. Scanning electron microscopy datasets for local fibre volume fraction determination in non-crimp glass-fibre reinforced composites. <em>Data in Brief</em>, <strong>35</strong>, <a href="https://doi.org/10.1016/j.dib.2021.106868">https://doi.org/10.1016/j.dib.2021.106868</a>, 2021, 106868.</p> <p>Description of the data-files:</p> <p>For each of the two cases, five files are made available. Those two file-set contains:</p> <p>• Tif-file: The stitched SEM scanned image which is used in the fibre volume fraction analysis</p> <p>• Hdr-file: Meta-data about the stitched SEM scanned image</p> <p>• M-file: The Matlab script used for analysing the tif-file</p> <p>• Mat-file: Matlab mask data for a selection of the bundles used in the fibre volume fraction analysis <br> </p>
Simulations of Radical Induced Cationic Frontal Polymerisation under different applied initial temperatures, trigger times and glass fibre contents
<p>Videos demonstrating simulations of Radical Induced Cationic Frontal Polymerisation in a 2D finite difference model composed of a insulating mould surrounding a cavity. The following acronyms are used in the filenames:</p> <ul> <li>PP: Pure polymer (no fillers)</li> <li>GF: Glass fibre reinforced polymer</li> <li>vf: Volume fraction (followed by quantity)</li> <li>w: Width of one foam mould halve in mm</li> <li>T0: Initial set temperature of the system</li> <li>trig: Trigger time in s </li> </ul>
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