Fotouhi, M. , Suwarta, P., Jalalvand, M., Czel, G. and Wisnom, M. R. (2016) Detection of fibre fracture and ply fragmentation in thin-ply UD carbon/glass hybrid laminates using acoustic emission. Composites Part A: Applied Science and Manufacturing, 86, pp. 66-76. (doi: 10.1016/j.compositesa.2016.04.003)
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Abstract
This paper investigates the link between acoustic emission (AE) events and the corresponding damage modes in thin-ply UD carbon/glass hybrid laminates under tensile loading. A novel configuration was investigated which has not previously been studied by AE, where the laminates were fabricated by embedding thin carbon plies between standard thickness translucent glass plies to produce progressive fragmentation of the carbon layer and delamination of the carbon/glass interface. A criterion based on amplitude and energy of the AE event values was established to identify the fragmentation failure mode. Since the glass layer was translucent, it was possible to quantitatively correlate the observed fragmentation during the tests and the AE events with high amplitude and energy values. This new method can be used as a simple and advanced tool to identify fibre fracture as well as estimate the number and sequence of damage events that are not visible e.g. in hybrid laminates with thick or non-transparent layers as well as when the damage is too small to be visually detected.
Item Type: | Articles |
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Additional Information: | This work was funded under the UK Engineering and Physical Sciences Research Council Programme Grant EP/I02946X/1 on High Performance Ductile Composite Technology in collaboration with Imperial College, London. |
Status: | Published |
Refereed: | Yes |
Glasgow Author(s) Enlighten ID: | Fotouhi, Dr Mohammad |
Authors: | Fotouhi, M., Suwarta, P., Jalalvand, M., Czel, G., and Wisnom, M. R. |
Subjects: | T Technology > T Technology (General) T Technology > TA Engineering (General). Civil engineering (General) T Technology > TJ Mechanical engineering and machinery |
College/School: | College of Science and Engineering > School of Engineering > Autonomous Systems and Connectivity |
Journal Name: | Composites Part A: Applied Science and Manufacturing |
Publisher: | Elsevier |
ISSN: | 1359-835X |
ISSN (Online): | 1878-5840 |
Published Online: | 04 April 2016 |
Copyright Holders: | Copyright © 2016 The Authors |
First Published: | First published in Composites Part A: Applied Science and Manufacturing 86: 66-76 |
Publisher Policy: | Reproduced under a Creative Commons License |
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