预测复合材料导热系数的热阻网络法  

Resistance network for predicting the thermal conductivity of composite materials

作　　者：张海峰[1] 葛新石[1] 叶宏[1] 

机构地区：[1]中国科学技术大学热科学与能源工程系,安徽合肥230027

出　　处：《功能材料》2005年第5期757-759,共3页Journal of Functional Materials

基　　金：国家自然科学基金资助项目(50402009)

摘　　要：借助计算机模拟复合材料的空间结构,直接迭代求解热阻网络,得到复合材料的导热系数。分析了在随机分布条件下取样尺度对导热系数的影响,以及二维和三维条件下导热的差别。与文献中实验数据的比较表明,所述方法能够较好地预示颗粒弥散型复合材料的导热系数。Based on the randomly generated structure of particulate filled composite materials, a numerical method was developed for predicting thermal conductivity. After numerical code was validated, the difference between the 2D and 3D and the effect of the sample scale are analyzed. The thermal conductivities of epoxy-silica and the Ni-ZrO2 composites are calculated. Compared with the experimental data, the proposed method can be used to predict thermal conductivity in wide range of the volume fraction.

关 键 词：复合材料 导热系数 热阻网络法 

分 类 号：TB34[一般工业技术—材料科学与工程]