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  5. Enhancing the Mechanical Toughness of Epoxy-Resin Composites Using Natural Silk Reinforcements

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Article
English
2017

Enhancing the Mechanical Toughness of Epoxy-Resin Composites Using Natural Silk Reinforcements

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English
2017
Scientific Reports
Vol 7 (1)
DOI: 10.1038/s41598-017-11919-1

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Robert O. Ritchie
Robert O. Ritchie

University of California, Berkeley

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Kang Yang
Sujun Wu
Juan Guan
+2 more

Abstract

Strong and tough epoxy composites are developed using a less-studied fibre reinforcement, that of natural silk. Two common but structurally distinct silks from the domestic B. mori/Bm and the wild A. pernyi/Ap silkworms are selected in fabric forms. We show that the toughening effects on silk-epoxy composites or SFRPs are dependent on the silk species and the volume fraction of silk. Both silks enhance the room-temperature tensile and flexural mechanical properties of the composite, whereas the more resilient Ap silk shows a more pronounced toughening effect and a lower critical reinforcement volume for the brittle-ductile transition. Specifically, our 60 vol.% Ap -SFRP displays a three-fold elevation in tensile and flexural strength, as compared to pure epoxy resin, with an order of magnitude higher breaking energy via a distinct, ductile failure mode. Importantly, the 60 vol.% Ap -SFRP remains ductile with 7% flexural elongation at lower temperatures (−50 °C). Under impact, these SFRPs show significantly improved energy absorption, and the 60 vol.% Ap -SFRP has an impact strength some eight times that of pure epoxy resin. The findings demonstrate both marked toughening and strengthening effects for epoxy composites from natural silk reinforcements, which presents opportunities for mechanically superior and “green” structural composites.

How to cite this publication

Kang Yang, Sujun Wu, Juan Guan, Zhengzhong Shao, Robert O. Ritchie (2017). Enhancing the Mechanical Toughness of Epoxy-Resin Composites Using Natural Silk Reinforcements. Scientific Reports, 7(1), DOI: 10.1038/s41598-017-11919-1.

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Publication Details

Type

Article

Year

2017

Authors

5

Datasets

0

Total Files

0

Language

English

Journal

Scientific Reports

DOI

10.1038/s41598-017-11919-1

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