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长垂直排列碳纳米管阵列的界面、高度和密度对其热导率的影响:一项实验研究。

Effect of interface, height and density of long vertically aligned carbon nanotube arrays on their thermal conductivity: an experimental study.

作者信息

Abot Jandro L, Raghavan Vasudevan, Li Ge, Thomas Evan L

机构信息

Department of Aerospace Engineering and Engineering Mechanics, University of Cincinnati, Cincinnati, OH 45221, USA.

出版信息

J Nanosci Nanotechnol. 2011 Jan;11(1):115-24. doi: 10.1166/jnn.2011.3838.

Abstract

The ever-growing need to dissipate larger amounts of heat from components and structures requires the development of novel materials with superior thermal conductivity. Aligned carbon nanotube arrays that are integrated in composite materials and structures may prove useful in increasing heat transfer through their thickness. Theoretical studies have shown the potential of carbon nanotubes to reach a thermal conductivity of 6600 Wm(-1)K(-1). Experimental results on the arrays however have shown much lower thermal conductivity values. A study was conducted to better understand heat conduction in mm-long carbon nanotube arrays and to experimentally determine their thermal conductivity. Emphasis was placed on the effect of various parameters including the height and density of the array and the thermal resistance at the array interface. A method was devised to measure the thermal conductivity of the array relying on Fourier's law while maintaining a steady state one-dimensional heat flow. The study reveals that the taller the array and the higher its density, the larger the thermal conductivity of the array. Quantitative data is also provided on the effect of various interface materials and their deposition technique on the thermal conductivity of the arrays.

摘要

从组件和结构中散发大量热量的需求不断增长,这就需要开发具有卓越热导率的新型材料。集成在复合材料和结构中的排列整齐的碳纳米管阵列,可能有助于增加沿其厚度方向的热传递。理论研究表明,碳纳米管具有达到6600 Wm(-1)K(-1)热导率的潜力。然而,关于这些阵列的实验结果显示,其热导率值要低得多。开展了一项研究,以更好地理解毫米长碳纳米管阵列中的热传导,并通过实验确定其热导率。重点关注了包括阵列高度和密度以及阵列界面处热阻在内的各种参数的影响。设计了一种方法,依靠傅里叶定律在保持一维稳态热流的同时测量阵列的热导率。该研究表明,阵列越高且密度越大,其热导率就越大。还提供了关于各种界面材料及其沉积技术对阵列热导率影响的定量数据。

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