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一种用于碳纳米管和纳米纤维悬浮液的非线性有效热导率模型。

A nonlinear effective thermal conductivity model for carbon nanotube and nanofiber suspensions.

作者信息

Koo J, Kang Y, Kleinstreuer C

机构信息

Department of Mechanical Engineering Kyung Hee University, #1, Seocheon-dong, Giheung-gu, Yongin-si, Gyeonggi-do 446-701, Korea.

出版信息

Nanotechnology. 2008 Sep 17;19(37):375705. doi: 10.1088/0957-4484/19/37/375705. Epub 2008 Aug 1.

DOI:10.1088/0957-4484/19/37/375705
PMID:21832559
Abstract

It has been experimentally demonstrated that suspensions of carbon nanotubes (CNTs) and nanofibers (CNFs) significantly increase the thermal conductivity of nanofluids; however, a physically sound theory of the underlying phenomenon is still missing. In this study, the nonlinear nature of the effective thermal conductivity enhancement with the particle concentration of CNT and CNF nanofluids is explained physically using the excluded volume concept. Specifically, the number of contacting CNTs and CNFs could be calculated by using the excluded volume concept, where the distance for heat to travel in a cylinder between the contacting cylinders in the thermal network of percolating CNTs and CNFs increased with the excluded volume. In contrast to the effective thermal conductivity model of Sastry et al (2008 Nanotechnology 19 055704) the present revised model could reproduce the nonlinear increase of the thermal conductivity with particle concentration, as well as the dependence on the diameter and aspect ratio of the CNTs and CNFs. It was found that the alignment of CNTs and CNFs due to the long range repulsion force decreases the excluded volume, leading to both the convex and concave nonlinear as well as linear increase of the thermal conductivity with particle concentration. The difference between various carrier fluids of the suspensions could be explained as the result of the change in the excluded volume in different base fluids.

摘要

实验已经证明,碳纳米管(CNT)和纳米纤维(CNF)悬浮液能显著提高纳米流体的热导率;然而,对于这一潜在现象,仍缺乏一个合理的物理理论。在本研究中,利用排除体积概念从物理角度解释了CNT和CNF纳米流体的有效热导率随颗粒浓度增加而提高的非线性特性。具体而言,通过排除体积概念可以计算出相互接触的CNT和CNF的数量,在渗流的CNT和CNF热网络中,热量在相互接触的圆柱体之间的圆柱体内传播的距离随排除体积的增加而增大。与Sastry等人(2008年,《纳米技术》19 055704)的有效热导率模型不同,本修正模型能够再现热导率随颗粒浓度的非线性增加,以及对CNT和CNF的直径和长径比的依赖性。研究发现,由于长程排斥力导致的CNT和CNF排列会减小排除体积,从而导致热导率随颗粒浓度呈凸形和凹形非线性以及线性增加。悬浮液中各种载液之间的差异可以解释为不同基础流体中排除体积变化的结果。

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引用本文的文献

1
Experimental and theoretical studies of nanofluid thermal conductivity enhancement: a review.纳米流体热导率增强的实验与理论研究综述
Nanoscale Res Lett. 2011 Mar 16;6(1):229. doi: 10.1186/1556-276X-6-229.