Experimental investigation and modelling on the thermal conductivity of CNTs based nanofluids
Experimental investigation and modelling on the thermal conductivity of CNTs based nanofluids
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DOI：
10.1016/j.ijthermalsci.2016.01.024
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发表时间：
2016-06
影响因子：
4.5
通讯作者：
M. Xing;Jianlin Yu;Ruixiang Wang
中科院分区：
文献类型：
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作者：
M. Xing;Jianlin Yu;Ruixiang Wang
在这项研究中，通过实验研究了体积浓度为0.05 - 0.48体积%的三种类型的CNT-纳米流体在10-60 °C的温度下的热导率。实验结果表明，碳纳米管纳米流体的热导率强烈依赖于纵横比，浓度和温度。现有的预测CNT纳米流体的导热系数的模型与实验数据进行了比较。结果表明，这些模型的预测值低估或高估的热导率的实验结果。提出了一种新的导热系数预测模型。该模型考虑了碳纳米管的浓度和长度两个因素对碳纳米管的直线度进行了修正，并引入了温度效应。预测结果表明，该模型与实验数据在±5%的误差范围内吻合较好。
In this study, the thermal conductivities of three types of CNTs-nanofluids with volume concentration from 0.05 to 0.48 vol% are investigated at the temperatures of 10–60 °C by experiments. The experimental results show that the thermal conductivities of CNTs-nanofluids are strongly dependent on the aspect ratio, concentration and temperature. The existent models for predicting thermal conductivity of CNT-nanofluid are compared with the experimental data. The results show that predictive values with those models underestimate or overestimate the thermal conductivity in terms of the experimental results. A novel thermal conductivity predictive model is proposed with experimental data. In the proposed model, the straightness ratio of the CNTs is modified by considering two factors of the concentration and length of CNTs, and temperature effect is also introduced. The predictive results indicate that the proposed model agrees with all the experimental data points within a ±5% error band.