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Optimal nanomaterial concentration: harnessing percolation theory to enhance polymer nanocomposite performance

机译:最佳纳米材料浓度:利用渗透理论提高聚合物纳米复合性能

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摘要

A major challenge in nanocomposite research is to predict the optimal nanomaterial concentration (ONC) yielding a maximal reinforcement in a given property. We present a simple approach to identify the ONC based on our finding that it is typically located in close proximity to an abrupt increase in polymer matrix viscosity, termed the rheological percolation threshold, and thus may be used as an indicator of the ONC. This premise was validated by rheological and fractography studies of composites loaded by nanomaterials including graphene nanoribbons or carbon or tungsten disulfide nanotubes. The correlation between in situ viscosity, the rheological percolation threshold concentration and the nanocomposite fractography demonstrates the utility of the method.
机译:纳米复合材料研究中的一项重大挑战是预测最佳的纳米材料浓度(ONC),在给定的性质中产生最大增强。 我们提出了一种基于我们的发现识别ONC的简单方法,即它通常位于聚合物基质粘度的突然增加,称为流变渗透阈值,因此可以用作ONC的指示剂。 通过纳米材料加载的复合材料的流变和Fractography研究验证了该前提,包括石墨烯纳米纤维或碳或钨二硫化物纳米管。 原位粘度,流变渗透阈值浓度和纳米复合阈值与纳米复合阈值之间的相关性证明了该方法的效用。

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