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Electrical conductivity modeling and experimental study of densely packed SWCNT networks

机译：密堆积SWCNT网络的电导率建模与实验研究

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Single-walled carbon nanotube (SWCNT) networks have become a subject of interest due to their ability to support structural, thermal and electrical loadings, but to date their application has been hindered due, in large part, to the inability to model macroscopic responses in an industrial product with any reasonable confidence. This paper seeks to address the relationship between macroscale electrical conductivity and the nanostructure of a dense network composed of SWCNTs and presents a uniquely formulated physics-based computational model for electrical conductivity predictions. The proposed model incorporates physics-based stochastic parameters for the individual nanotubes to construct the nanostructure such as: an experimentally obtained orientation distribution function, experimentally derived length and diameter distributions, and assumed distributions of chirality and registry of individual CNTs. Case studies are presented to investigate the relationship between macroscale conductivity and nanostructured variations in the bulk stochastic length, diameter and orientation distributions. Simulation results correspond nicely with those available in the literature for case studies of conductivity versus length and conductivity versus diameter. In addition, predictions for the increasing anisotropy of the bulk conductivity as a function of the tube orientation distribution are in reasonable agreement with our experimental results. Examples are presented to demonstrate the importance of incorporating various stochastic characteristics in bulk conductivity predictions. Finally, a design consideration for industrial applications is discussed based on localized network power emission considerations and may lend insight to the design engineer to better predict network failure under high current loading applications.
机译：单壁碳纳米管（SWCNT）网络由于其支持结构，热和电负载的能力而成为人们关注的主题，但迄今为止，由于无法在模型中模拟宏观响应，因此其应用受到了阻碍。有合理信心的工业产品。本文力图解决宏观电导率和由SWCNT组成的致密网络的纳米结构之间的关系，并提出了一种独特制定的基于物理的电导率预测计算模型。提出的模型结合了单个纳米管的基于物理学的随机参数，以构建纳米结构，例如：实验获得的取向分布函数，实验得出的长度和直径分布以及假定的手性分布和各个CNT的配准。案例研究被提出以调查宏观电导率和整体随机长度，直径和方向分布中的纳米结构变化之间的关系。仿真结果与文献中电导率对长度和电导率对直径的案例研究非常吻合。另外，关于体积电导率各向异性随管取向分布而增加的预测与我们的实验结果是合理一致的。给出的例子表明了将各种随机特征纳入体电导率预测的重要性。最后，基于局部网络功耗考虑，讨论了工业应用的设计注意事项，可能有助于设计工程师更好地预测高电流负载应用下的网络故障。

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