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首页> 外文期刊>Carbon: An International Journal Sponsored by the American Carbon Society >Morphology and processing of aligned carbon nanotube carbon matrix nanocomposites
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Morphology and processing of aligned carbon nanotube carbon matrix nanocomposites

机译:取向碳纳米管碳基纳米复合材料的形貌与加工

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摘要

Intrinsic and scale-dependent properties of carbon nanotubes (CNTs) have led aligned CNT architectures to emerge as promising candidates for next-generation multifunctional applications. Enhanced operating regimes motivate the study of CNT-based aligned nanofiber carbon matrix nanocomposites (CNT A-CMNCs). However, in order to tailor the material properties of CNT A-CMNCs, porosity control of the carbon matrix is required. Such control is usually achieved via multiple liquid precursor infusions and pyrolyzations. Here we report a model that allows the quantitative prediction of the CNT A-CMNC density and matrix porosity as a function of number of processing steps. The experimental results indicate that the matrix porosity of A-CMNCs comprised of ~1% aligned CNTs decreased from ~61% to ~55% after a second polymer infusion and pyrolyzation. The model predicts that diminishing returns for porosity reduction will occur after 4 processing steps (matrix porosity of ~51%), and that >10 processing steps are required for matrix porosity <50%. Using this model, prediction of the processing necessary for the fabrication of liquid precursor derived A-CMNC architectures, with possible application to other nanowireanofi-ber systems, is enabled for a variety of high value applications.
机译:碳纳米管(CNT)的固有性质和与尺度相关的特性已导致对齐的CNT结构成为下一代多功能应用程序的有前途的候选者。增强的运行机制激发了对基于CNT的对齐纳米纤维碳基质纳米复合材料(CNT A-CMNCs)的研究。但是,为了调整CNT A-CMNC的材料性能,需要控制碳基质的孔隙率。通常通过多次液体前体注入和热解来实现这种控制。在这里,我们报告了一个模型,该模型允许对CNT A-CMNC密度和基质孔隙率作为处理步骤数的函数进行定量预测。实验结果表明,在第二次聚合物注入和热解后,由〜1%对齐的CNT组成的A-CMNC的基质孔隙率从〜61%降低至〜55%。该模型预测,降低孔隙率的回报将在4个处理步骤后发生(矩阵孔隙率约为51%),并且对于基质孔隙率<50%,需要> 10个处理步骤。使用该模型,可以预测液体前体衍生的A-CMNC体系结构的制造所必需的处理,并可能应用于其他纳米线/纳米纤维系统,从而适用于各种高价值应用。

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