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A Self-sensing Fiber Reinforced Polymer Composite using Mechanophore-based Smart Polymer

机译:基于机械力的智能聚合物的自感纤维增强聚合物复合材料

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Polymer matrix composites (PMCs) are ubiquitous in engineering applications due to their superior mechanical properties at low weight. However, they are susceptible to damage due to their low interlaminar mechanical properties and poor heat and charge transport in the transverse direction to the laminate. Moreover, methods to inspect and ensure the reliability of composites are expensive and labor intensive. Recently, mechanophore-based smart polymer has attracted significant attention, especially for self-sensing of matrix damage in PMCs. A cyclobutane-based self-sensing approach using 1,1,1 -tris (cinnamoyloxymethyl) ethane (TCE) and poly (vinyl cinnamate) (PVCi) has been studied in this paper. The self-sensing function was investigated at both the polymer level and composite laminate level. Fluorescence emissions were observed on PMC specimens subjected to low cycle fatigue load, indicating the presence of matrix cracks. Results are presented for graphite fiber reinforced composites.
机译:聚合物基复合材料(PMC)由于在低重量下具有出色的机械性能而在工程应用中无处不在。然而,由于它们的低层间机械性能以及在横向于层压件的横向上不良的热和电荷传输,它们易于损坏。此外,检查和确保复合材料可靠性的方法昂贵且劳动强度大。近年来,基于机械载体的智能聚合物引起了广泛的关注,特别是对于PMC中基质损伤的自感。本文研究了一种基于环丁烷的自感应方法,该方法使用1,1,1-三(肉桂酰氧基甲基)乙烷(TCE)和聚(肉桂酸乙烯基酯)(PVCi)。在聚合物水平和复合层压材料水平上都研究了自感应功能。在承受低周疲劳载荷的PMC样品上观察到荧光发射,表明存在基体裂纹。给出了石墨纤维增强复合材料的结果。

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