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Flax fibers – epoxy with embedded nanocomposite sensors to design lightweight smart bio-composites
Nanocomposites ( IF 4.6 ) Pub Date : 2016-09-02 , DOI: 10.1080/20550324.2016.1227546
K. M. Tripathi 1 , F. Vincent 1 , M. Castro 1 , J. F. Feller 1
Affiliation  

Lightweight smart bio-composites with damage sensing ability have been designed. Conductive polymer nanocomposites-based quantum resistive sensors (sQRS) have been embedded in a unidirectional flax fibers – epoxy bio-composite samples using a spray layer by layer process to monitor their structural health and eventually anticipate their failure. The in situ piezo-resistive responses of sQRS under monotonic and incremental cyclic tensile tests were analyzed to learn more about the damage mechanisms and predict behavior changes in the laminated bio-composites. sQRS signals were found to be well correlated with the typical mechanical traces of flax fibers/epoxy composites, thus allowing reliable conclusions about structural changes taking place in the core of the bio-composite under strain. In particular, the analysis of sQRS gauge factor evolution with strain level proved to be helpful to assess the probability of damage. This new contribution to the understanding of flax fiber-based composites’ mechanical behavior is expected to be of special interest as the sliding of fibrils weakly assembled in bundles makes it difficult to approach.



中文翻译:

亚麻纤维–具有嵌入式纳米复合材料传感器的环氧树脂,可设计轻巧的智能生物复合材料

已经设计了具有损伤感测能力的轻型智能生物复合材料。基于导电聚合物纳米复合材料的量子电阻传感器(sQRS)已嵌入单向亚麻纤维–环氧生物复合材料样品,采用逐层喷涂工艺监测其结构健康状况,并最终预测其故障。在原位分析了单调和增量循环拉伸试验下sQRS的压阻响应,以了解有关损伤机理的更多信息,并预测层压生物复合材料的行为变化。已发现sQRS信号与亚麻纤维/环氧树脂复合材料的典型机械痕迹具有良好的相关性,因此可以得出有关应变下生物复合材料核心发生结构变化的可靠结论。尤其是,对带有应变水平的sQRS量纲因子演变的分析被证明有助于评估损坏的可能性。理解这种对亚麻纤维基复合材料机械性能的新贡献将引起特别的兴趣,因为纤维微弱地组装成束的滑动很难接近。

更新日期:2016-09-02
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