Effective interlaminar reinforcing and delamination monitoring of carbon fibrous composites using a novel nano-carbon woven grid
Effective interlaminar reinforcing and delamination monitoring of carbon fibrous composites using a novel nano-carbon woven grid
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使用新型纳米碳编织网格有效监测碳纤维复合材料的层间增强和分层
DOI：
10.1016/j.compscitech.2021.108959
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发表时间：
2021-09
影响因子：
9.1
通讯作者：
Ling Liu
中科院分区：
文献类型：
--
作者：
Guangming Yang;Xu Feng;Wei Wang;Qin OuYang;Ling Liu
迄今为止，由于碳纤维增强塑料（CFRP）的高导电性，使用纳米碳基夹层同时增强并良好监测碳纤维增强塑料（CFRP）的分层仍然是一个挑战。在此，本工作制备了一种新型的编织网格组成的碳纳米管和石墨烯（CG）具有不同的网格密度和合适的电阻率。结果表明，CG编织网格夹层能显著提高CFRP的层间剪切性能，其Ⅱ型层间断裂韧性和层间剪切强度分别提高38-60%和17- 25%。同时，碳纤维增强复合材料在脱层初始阶段的相对电阻变化（ΔR/R0%）可达~12%以上，大于以往文献报道的数值。结果表明，所制备的CG编织网格不仅可以大大提高抗分层性能，而且可以灵敏地监测高导电CFRP的分层。
To date, it is still a challenge to simultaneously reinforce and well monitor the delamination of carbon fiber reinforced plastics (CFRPs) using nanocarbon-based interleaf due to the high electrical conductivity of CFRPs. Herein, this work prepares a novel woven grid composed of carbon nanotubes and graphenes (CG) with various grid densities and suitable resistivity. Results reveal that the CG woven grid-based interleaf could significantly reinforce the interlaminar shear properties of CFRPs, i.e. mode II interlaminar fracture toughness and interlaminar shear strength can be improved by 38–60% and 17–25%, respectively. Meanwhile, the relative resistance change (ΔR/R0%) of CFRPs at the delamination initiation stage can reach ~12% or more, which is greater than that reported by previous literatures. The results suggest that the prepared CG woven grid can not only greatly enhance the delamination resistance, but also can sensitively monitor the delamination of the highly conductive CFRPs.
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影响因子：
9.1
作者：
Ni, Xinchen;Furtado, Carolina;Wardle, Brian L.
通讯作者：
Wardle, Brian L.
影响因子：
2.4
作者：
Han Zhang;Yi Liu;E. Bilotti;T. Peijs
通讯作者：
Han Zhang;Yi Liu;E. Bilotti;T. Peijs
影响因子：
13.1
作者：
Ou, Yunfu;Gonzalez, Carlos;Vilatela, Juan Jose
通讯作者：
Vilatela, Juan Jose
影响因子：
9.1
作者：
Kim, Joonhui;Cha, Jaemin;Hong, Soon H.
通讯作者：
Hong, Soon H.
影响因子：
--
作者：
Han Zhang;M. Kuwata;E. Bilotti;T. Peijs
通讯作者：
Han Zhang;M. Kuwata;E. Bilotti;T. Peijs