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Dielectrophoretic modeling of the dynamic carbon nanotube network formation in viscous media under alternating current electric fields

机译:交流电场下粘性介质中动态碳纳米管网络形成的介电泳建模

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摘要

The dynamic formation of carbon nanotube (CNT) networks in liquids under the application of an alternating current electric field is investigated using the effective dipole modeling approach. Three mechanisms are investigated by a set of three independent nonlinear differential equations derived from dielectrophoretic theory, viz. CNT rotation, CNT-to-CNT Coulombic interactions, and CNT migration towards an electrode. The models consider the effect of the electric field magnitude and frequency, the CNT's concentration and aspect ratio, and the viscosity of the surrounding medium. A layer at the CNT/liquid interface is included and the effect of such a layer's permittivity, electrical conductivity and thickness is investigated. Modeling predictions allow the reconstruction of the dynamic sequence of events leading to an aligned CNT network, which strongly depends on the CNT's aspect ratio and concentration. Experimental trends regarding the effect of frequency can only be captured by considering an interface layer in the model.
机译:使用有效偶极建模方法研究了在交流电场的作用下液体中碳纳米管(CNT)网络的动态形成。通过从介电泳理论导出的三个独立的非线性微分方程组研究了三种机理。 CNT旋转,CNT到CNT库仑相互作用以及CNT向电极迁移。这些模型考虑了电场强度和频率,CNT的浓度和纵横比以及周围介质的粘度的影响。包括在CNT /液体界面的一层,并研究了这种层的介电常数,电导率和厚度的影响。建模预测允许重建导致对齐的CNT网络的事件的动态序列,这在很大程度上取决于CNT的纵横比和浓度。关于频率影响的实验趋势只能通过考虑模型中的界面层来捕获。

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