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首页> 外文期刊>International Journal of Heat and Mass Transfer >Effects of welding on thermal conductivity of randomly oriented carbon nanotube networks
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Effects of welding on thermal conductivity of randomly oriented carbon nanotube networks

机译：焊接对随机取向的碳纳米管网络导热系数的影响

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This work employs a multiscale modeling approach to probe the thermal conductivity in sintered randomly oriented carbon nanotube (CNT) networks, in which a fraction of close contacts between nanotubes has welded together to become CNT junctions. In the multiscale approach, a macroscopic analytical model is proposed to predict the overall thermal conductivity of the network, where model parameters such as intra-tube thermal resistance and inter-tube thermal conductance of CNT junctions are obtained from molecular dynamics (MD) simulations. Both the inter-tube thermal conductance and the intra-tube thermal resistance for the X- and EX-junctions are investigated, and their relationship with the interconnected bonds number of the junctions is discussed. The inter-tube junction thermal conductance is found to be two orders magnitude larger than contact conductance between two CNTs in close contact while intra-tube junction thermal resistance also increases significantly after sintering. Employing MD simulation results, the macroscopic model predicts that the intra-tube junction thermal resistance has a dominant effect on the overall network thermal conductivity. In addition, thermal conductivity of sintered network is found to decrease with increase in the fraction of welded contacts occurred in the network when the mass density or the tube length is large. However, thermal conductivity of the network will first increase and then decrease with the fraction of welded contacts in the network when both the mass density and the tube length are small. The network thermal conductivity versus mass density p satisfies k_(network) ∝ p~γ, the exponential γ decrease with the increase of the intra-tube junction thermal resistance and the fraction of welded contacts. The results presented in this work will potentially have important implications in the design of CNT random networks for thermal management and thermoelectric applications.
机译：这项工作采用了多尺度建模方法来探测烧结的随机取向碳纳米管（CNT）网络中的热导率，其中纳米管之间的紧密接触部分已经焊接在一起，成为CNT结。在多尺度方法中，提出了一种宏观分析模型来预测网络的整体热导率，其中从分子动力学（MD）模拟获得模型参数，例如CNT结的管内热阻和管间热导率。研究了X型和EX型接头的管间热导率和管内热阻，并讨论了它们与结的互连键数的关系。发现管间结热导率比紧密接触的两个CNT之间的接触电导性大两个数量级，而管内结热阻在烧结后也显着增加。利用MD仿真结果，宏观模型预测管内结热阻对整个网络的热导率起主要作用。另外，当质量密度或管长较大时，发现烧结网络的热导率会随着网络中发生的焊接接触的比例的增加而降低。但是，当质量密度和管长均较小时，网络的热导率会随着网络中焊接触点的比例先增大然后减小。网络热导率与质量密度p满足k_（network）∝ p〜γ，指数γ随管内结热阻和焊接接点分数的增加而减小。这项工作中提出的结果可能会对热管理和热电应用的CNT随机网络的设计产生重要的影响。

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