Embedded catalytic healing agents for the repair of fibre-reinforced composites

Daniel Everitt, Richard Trask, Duncan Wass, Lan Bond

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

Abstract

The inclusion of latent catalytic healing agents (CHAs) during layup of fibre-reinforced polymer (FRP) composite specimens yields a functionalised composite material with the capability to self-repair. Strategies for preventing the reaction of CHAs with prepreg resins during curing of the host material are explored. The inclusion of catalyst as an interleave on the composite mid-plane was found to be detrimental to the fracture toughness of the double cantilever beam (DCB) specimens. A potential application for this effect includes damage redirection, whereby propagating damage is steered into self-healing features. This will be an area of interest for future investigation. Upon failure of the composite, healing is achieved by addition of a low-viscosity epoxide monomer and heating the material to activate the curing agent. Specimens featuring embedded Sc(OTf) 3 healed for 2 hours at 200 ?C showed a mean recovery in peak load of 79%.

Original languageEnglish
Title of host publicationASME 2014 Conference on Smart Materials, Adaptive Structures and Intelligent Systems, SMASIS 2014
PublisherAmerican Society of Mechanical Engineers (ASME)
Volume1
ISBN (Print)9780791846148
DOIs
Publication statusPublished - 1 Jan 2014
EventASME 2014 Conference on Smart Materials, Adaptive Structures and Intelligent Systems, SMASIS 2014 - Newport, United Kingdom
Duration: 8 Sep 201410 Sep 2014

Conference

ConferenceASME 2014 Conference on Smart Materials, Adaptive Structures and Intelligent Systems, SMASIS 2014
CountryUnited Kingdom
CityNewport
Period8/09/1410/09/14

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  • Cite this

    Everitt, D., Trask, R., Wass, D., & Bond, L. (2014). Embedded catalytic healing agents for the repair of fibre-reinforced composites. In ASME 2014 Conference on Smart Materials, Adaptive Structures and Intelligent Systems, SMASIS 2014 (Vol. 1). American Society of Mechanical Engineers (ASME). https://doi.org/10.1115/SMASIS20147504