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The microstructure of capsule containing self-healing materials: A micro-computed tomography study

Autonomic self-healing materials are materials with built-in (micro-) capsules or vessels, which upon fracturing release healing agents in order to recover the material's physical and mechanical properties. In order to better understand and engineer these materials, a thorough characterization...

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Bibliographic Details
Published in:Materials characterization 2016-09, Vol.119, p.99-109
Main Authors: Van Stappen, Jeroen, Bultreys, Tom, Gilabert, Francisco A., Hillewaere, Xander K.D., Gómez, David Garoz, Van Tittelboom, Kim, Dhaene, Jelle, De Belie, Nele, Van Paepegem, Wim, Du Prez, Filip E., Cnudde, Veerle
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Language:English
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Summary:Autonomic self-healing materials are materials with built-in (micro-) capsules or vessels, which upon fracturing release healing agents in order to recover the material's physical and mechanical properties. In order to better understand and engineer these materials, a thorough characterization of the material's microstructural behavior is essential and often overlooked. In this context, micro-computed tomography (μCT) can be used to investigate the three dimensional distribution and (de)bonding of (micro-) capsules in their native state in a polymer system with self-healing properties. Furthermore, in-situ μCT experiments in a self-healing polymer and a self-healing concrete system can elucidate the breakage and leakage behavior of (micro-) capsules at the micrometer scale. While challenges related to image resolution and contrast complicate the characterization in specific cases, non-destructive 3D imaging with μCT is shown to contribute to the understanding of the link between the microstructure and the self-healing behavior of these complex materials. •μCT imaging allows for the analysis of microcapsule distribution patterns in self-healing materials.•μCT allows for qualitative and quantitative measurements of healing agent release from carriers in self-healing materials.•Experimental set-ups can be optimized by changing chemical compounds in the system to ensure maximum quality imaging.
ISSN:1044-5803
1873-4189
DOI:10.1016/j.matchar.2016.07.014