Morphology Effects on Nonisotropic Thermal Conduction of Aligned Single-Walled and Multi-Walled Carbon Nanotubes in Polymer Nanocomposites

详细信息    查看全文

• 作者：Hai M. Duong ; Namiko Yamamoto ; Khoa Bui ; Dimitrios V. Papavassiliou ; Shigeo Maruyama ; Brian L. Wardle
• 刊名：Journal of Physical Chemistry C
• 出版年：2010
• 出版时间：May 20, 2010
• 年：2010
• 卷：114
• 期：19
• 页码：8851-8860
• 全文大小：366K
• 年卷期：v.114,no.19(May 20, 2010)
• ISSN：1932-7455

文摘

Carbon nanotube (CNT)−CNT contact and CNT distribution effects on anisotropic thermal transport in aligned CNT−polymer nanocomposites (PNCs) are studied using an off-lattice Monte Carlo numerical simulation. Inter-CNT contact and the associated thermal boundary resistance are shown here to significantly affect transport properties of PNCs, including anisotropy ratios. Previous studies have considered the effective thermal conductivities of CNT−PNCs using only a very large CNT−CNT thermal boundary resistance (TBR) compared to that of the CNT−matrix TBR as a limiting case. As CNT−CNT TBR is currently an unquantified parameter for CNT−polymer systems, and because it may be reduced by various techniques, heat transport with CNTs in contact is studied for a wide range of CNT−CNT TBR values, varying from 2 to 25 × 10⁻⁸ m² K/W. The degree of CNT−CNT contact, CNT spatial distribution, and CNT−CNT TBR relative to CNT−matrix TBR are considered for 1−20% volume fraction of aligned single-walled and multi-walled CNTs. When CNT−CNT contact is significant or CNT−CNT TBR is low (relative to the CNT−matrix TBR), then heat transport is dominated by CNT−CNT contact effects, rather than CNT−matrix interfacial effects. As an example, effective nanocomposite thermal conductivity parallel to the CNT axis is shown to increase by up to 4× due to CNT−CNT contact effects. A critical value of CNT−CNT TBR is identified that controls whether the addition of conductive CNTs in the insulating polymer increases or decreases thermal transport. These simulation results can be very useful for developing techniques to enhance the effective thermal conductivity of composites using conductive nanomaterials embedded in (polymer) matrices, and assist experimentalists in interpreting heat conduction measurements.