采用原位聚合法制备了碳纳米管/聚丙烯腈(CNT/PAN)复合材料,用MDSC的测试方法研究了复合材料的热性能,并由此推导了复合材料的热导率.应用Cheng-Vachon、Nielsen-Lewis和Okamoto-Ishida 3种导热理论模型对CNT/PAN复合材料的热导率进行估算.对比实验测试与导热理论模型的计算结果,考虑到碳纳米管在聚合物基体中的分散和取向情况,得出Nielsen-Lewis理论在低填充含量及室温条件下可以较准确地估算无规分散的CNT/PAN复合材料体系的热导率.
The carbon nanotubes/polyacrylonitrile(CNT/PAN) nanocomposites are prepared using in-situ polymerization method. The thermal properties of the composites are measured by MDSC test and the thermal conductivity of the composites is calculated. Three theoretical thermal conductivity models including Cheng-Vachon, Nielsen-Lewis and Okamoto-Ishida models have been proposed respectively to predict the effective thermal conductivity of carbon nanotubes/polyacrylonitrile(CNT/PAN) composites. Compared with the calculation of the experiment, the theoretical equations are discussed in terms of the dispersion and orientation. The experimental data are in good agreement with that obtained from Nielsen-Lewis thermal conductivity theoretical model under the condition of low filler content at room temperature.
参考文献
[1] | 潘玮,张慧勤,陈燕.碳纳米管/聚丙烯腈导电纤维的结构与性能[J].合成纤维,2006(10):1-3,8. |
[2] | 洪炳墩,王彪,王华平,张玉梅.碳纳米管/聚丙烯腈原液的制备及可纺性[J].功能高分子学报,2005(04):617-622. |
[3] | Borca-Tasciuc T;Mazumder M;Son Y;Pal SK;Schadler LS;Ajayan PM .Anisotropic thermal diffusivity characterization of aligned carbon nanotube-polymer composites[J].Journal of nanoscience and nanotechnology,2007(4/5):1581-1588. |
[4] | 利帕托夫;闫家宾.聚合物物理化学手册(本体聚合物的性质)[M].北京:中国石化出版社,1995:315. |
[5] | 赵建国,李克智,李贺军,席琛,翟言强.C/C复合材料比热容和热扩散率的研究[J].宇航材料工艺,2005(06):41-43. |
[6] | Aniruddha Bagchi;Seiichi Nomura .On the effective thermal conductivity of carbon nanotube[J].Composites science and technology,2006(11/12):1703-1712. |
[7] | Xie Huaqing;Cai An;Wang Xinwei .Thermal diffusivity and conductivity of multiwalled carbon nanotube arrays[J].Applied Physics Letters,2007,369:123. |
[8] | Shoji Okamoto .New evaluation method for the dispersion and morphology of composites and blends by thermal conductivity[D].USA:Case Western Reserve University,2000. |
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