Acoustic emission monitoring of thin ply hybrid composites under repeated quasi-static tensile loading

Fotouhi, M. , Suwarta, P., Jalalvand, M., Czél, G. and Wisnom, M. (2018) Acoustic emission monitoring of thin ply hybrid composites under repeated quasi-static tensile loading. FME Transactions, 46, pp. 238-244. (doi: 10.5937/fmet1802238F)

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This paper investigates the applicability of the acoustic emission (AE) technique for identification of the damage onset and accumulation in S-Glass/TR30-Carbon hybrid laminates under repeated quasi-static tensile loading. The samples were made of 2 layers of unidirectional thin carbon prepreg plies which were sandwiched between 2 standard thickness S-glass prepreg plies. Analysis of the AE results shows that there are two types of events regarding energy and amplitude ranges of the AE signals. The signals with low values are found to be related to the delamination of the carbon/glass interface whereas the signals with high values are linked with the carbon layer fragmentation. There are more friction related AE signals during the unloading stage than the loading stage due to collision and rubbing between existing crack faces. Increasing the strain level increases the number of fragmentations and the AE technique is able to quantify this. It is concluded that the AE technique can be used to evaluate the number of fragmentations and can identify the damage evolution of the hybrid laminate under repeated quasi-static tensile loading.

Item Type:Articles (Editorial)
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. Gergely Czél acknowledges the Hungarian Academy of Sciences for funding through the PostDoctoral Researcher Programme fellowship scheme, the János Bolyai scholarship and the Hungarian National Research, Development and Innovation Office -NKFIH, for funding through grant OTKA K 116070.
Glasgow Author(s) Enlighten ID:Fotouhi, Dr Mohammad
Authors: Fotouhi, M., Suwarta, P., Jalalvand, M., Czél, G., and Wisnom, M.
Subjects: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:FME Transactions
Publisher:University of Belgrade Faculty of Mechanical Engineering
ISSN (Online):2406-128X
Copyright Holders:Copyright © 2018 Faculty of Mechanical Engineering, Belgrade.
First Published:First published in FME Transactions 46:238-244
Publisher Policy:Reproduced under a Creative Commons license

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