Ultra-fast time-lapse synchrotron radiation CT imaging of compressive failure in unidirectional glass fibre-epoxy composite
Description
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).
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 (Damage Mechanisms Associated with Kink-Band Formation in Unidirectional Fibre Composites) supervised by Prof. Philip J. Withers.
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 taken before loading (GFRP_Initial.zip), and the composite specimen was continuously loaded and imaged when approaching its failure (GFRP_Continuous_No0.zip and GFRP_Continuous_No12.zip).
The CT acquisition speed attained 1 tomogram per second. The voxel size of the reconstructed CT data-sets is (1.1 μm)3.
For use of the data, please cite the DOI of the repository and relevant papers -
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.
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.
Please also acknowledge EPSRC and ERC support in the acknowledgements, including
Engineering and Physical Science Research Council (EPSRC) for funding the Henry Moseley X-ray Imaging Facility within the Henry Royce Institute through grants (EP/F007906/1, EP/F001452/1, EP/I02249X, EP/M010619/1, EP/F028431/1, and EP/M022498/1)
European Research Council grant No 695638 CORREL-CT.