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Development of Multi-Dimensional 3D Printed Vascular Networks for Self-Healing Materials

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Original languageEnglish
Title of host publicationASME 2017 Conference on Smart Materials, Adaptive Structures and Intelligent Systems
Subtitle of host publicationVolume 1: Development and Characterization of Multifunctional Materials; Mechanics and Behavior of Active Materials; Bioinspired Smart Materials and Systems; Energy Harvesting; Emerging Technologies
Place of PublicationSnowbird, Utah, USA
Publisher or commissioning bodyAmerican Society of Mechanical Engineers (ASME)
Number of pages7
Volume1
ISBN (Electronic)9780791858257
DOIs
DateAccepted/In press - 19 Jul 2017
DatePublished (current) - 18 Jan 2018
EventASME 2017 Conference on Smart Materials, Adaptive Structures and Intelligent Systems, SMASIS 2017 - Snowbird, United States
Duration: 18 Sep 201720 Sep 2017

Conference

ConferenceASME 2017 Conference on Smart Materials, Adaptive Structures and Intelligent Systems, SMASIS 2017
CountryUnited States
CitySnowbird
Period18/09/1720/09/17

Abstract

Self-healing materials have emerged as an alternative solution to the repair of damage in fibre-reinforced composites. Recent developments have largely focused on a vascular approach, due to the ability to transport healing agents over long distances and continually replenish from an external source. However fracture of the vascular network is required to enable the healing agents to infiltrate the crack plane, ceasing its primary function in transporting fluid and preventing the repair of any further damage events. Here we present a novel approach to vascular self-healing through the development and integration of 3D printed, porous, thermoplastic networks into a thermoset matrix. This concept exploits the inherently low surface chemistry of thermoplastic materials, which results in adhesive failure between the thermoplastic network and thermoset matrix on arrival of a propagating crack, thus exposing the radial pores of the network and allowing the healing agents to flow into the damage site. We investigate the potential of two additive manufacturing techniques, fused deposition modeling (FDM) and stereolithography, to fabricate free-standing, self-healing networks. Furthermore, we assess the interaction of a crack with branched network structures under static indentation in order to establish the feasibility of additive manufacture for multi-dimensional 3D printed self-healing networks.

Event

ASME 2017 Conference on Smart Materials, Adaptive Structures and Intelligent Systems, SMASIS 2017

Duration18 Sep 201720 Sep 2017
CitySnowbird
CountryUnited States
SponsorsAerospace Division (External organisation)

Event: Conference

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Documents

  • Full-text PDF (accepted author manuscript)

    Rights statement: This is the author accepted manuscript (AAM). The final published version (version of record) is available online via ASME at http://proceedings.asmedigitalcollection.asme.org/proceeding.aspx?articleid=2663128 . Please refer to any applicable terms of use of the publisher.

    Accepted author manuscript, 4 MB, PDF document

DOI

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