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New sensing method of dispersion and damage detection of carbon fiber/polypropylene-polyamide composites via two-dimensional electrical resistance mapping

机译:基于二维电阻映射的碳纤维/聚丙烯-聚酰胺复合材料色散和损伤检测新方法

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Evaluation of sensing for electrical conductive composites has been implemented using electrical conductive nano materials such as graphene, CNT and carbon fiber. Electrical resistance (ER) measurement for nondestructive evaluation (NDE) was developed using self-sensing composites because method of damage sensing and crack prediction of composites under external load is possible to use at aerospace, heavy industry, and automobile. In this research, diverse damage sensing from mechanical impact and thermal aging for electrical conductive composites was investigated by using ER method. To have the test, electrical conductive materials such as graphene, CNT and carbon fiber and matrixes such as epoxy and vinyl ester were used for damage sensing and finding optimum materials for improving the bonding force. Two and three dimensional ER mapping was used to sense and predict damages from tensile, compressive, impact and drilling force. The differences in ER from different force were compared to explore their usage for real time monitoring and sensing of damages. Enhance optimum materials and conditions from diverse force were confirmed by ER method.
机译:已使用导电纳米材料(例如石墨烯,CNT和碳纤维)对导电复合材料的感测进行评估。使用自感应复合材料开发了用于无损评估(NDE)的电阻(ER)测量,因为在外部载荷下复合材料的损伤检测和裂纹预测方法可用于航空航天,重工业和汽车。在这项研究中,通过使用ER方法研究了导电复合材料的机械冲击和热老化引起的各种损伤感测。为了进行测试,使用了石墨烯,碳纳米管和碳纤维等导电材料,以及环氧和乙烯基酯等基体进行损伤感测,并找到了提高粘合力的最佳材料。二维和三维ER映射用于感知和预测拉伸,压缩,冲击和钻孔力造成的损坏。比较了来自不同力的ER的差异,以探索其在实时监测和感知损坏中的用途。通过ER方法确认了通过不同作用力增强最佳材料和条件的能力。

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