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Thermal Conductivity of Turbostratic Carbon Nanofiber Networks

机译:透层碳纳米纤维网络的热导率

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Composite material systems composed of a matrix of nanomaterials can achieve combinations of mechanical and thermophysical properties outside the range of traditional systems. The microstructure of the system dictates the rate, in which heat moves through the material. In this work, air/carbon nanofiber networks are studied to elucidate the system parameters influencing thermal transport. Thermal properties are measured with varying initial carbon fiber fill fraction, environment pressure, loading pressure, and heat treatment temperature (HTT) through a bidirectional modification of the 3ω technique. The nanostructure of the individual fibers is characterized with small angle X-ray scattering and Raman spectroscopy providing insight to individual fiber thermal conductivity. Measured thermal conductivity of the carbon nanofiber networks varied from 0.010 W/(m K) to 0.070 W/(m K). An understanding of the intrinsic properties of the individual fibers and the interactions of the two-phase composite is used to reconcile low measured thermal conductivities with predictive modeling. Accounting for fiber-to-fiber interactions and the nuanced changes in the composite as pressure is applied is necessary to successfully model thermal transport in system.
机译:由纳米材料基质组成的复合材料系统可以实现传统系统范围之外的机械和热物理性质的组合。系统的微观结构决定了热量在材料中移动的速率。在这项工作中,对空气/碳纳米纤维网络进行了研究,以阐明影响热传输的系统参数。通过3ω技术的双向修改,通过改变初始碳纤维填充率,环境压力,加载压力和热处理温度(HTT)来测量热性能。单个纤维的纳米结构具有小角度X射线散射和拉曼光谱学特征,可洞察单个纤维的导热性。测得的碳纳米纤维网络的热导率从0.010 W /(m K)到0.070 W /(m K)不等。通过了解单个纤维的固有特性以及两相复合材料之间的相互作用,可以将预测的低热导率与预测模型相协调。要成功地对系统中的热传递进行建模,必须考虑到纤维之间的相互作用以及复合材料在施加压力时的细微变化。

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