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首页> 外文会议>Nanoscale thermoelectric materials: Thermal and electrical transport, and applications to solid-state cooling and power generation >Design and Evaluation of Carbon Nanotube Based Nanofluids for Heat Transfer Applications
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Design and Evaluation of Carbon Nanotube Based Nanofluids for Heat Transfer Applications

机译：基于碳纳米管的纳米流体在传热应用中的设计与评估

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摘要

The present work investigates the fabrication, thermal conductivity (TC) and rheological properties of water based carbon nanotubes (CNTs) nanofluids (NFs) prepared using a two-step method. As-received (AR) CNTs heated and the effect of heat treatment was studied using X-ray diffraction and thermogravimetric analysis. The AR-CNTs and heat-treated CNTs (HT-CNTs) were dispersed with varying concentration of surface modifiers Gum Arabic (GA) and TritonX-100 (TX) respectively. It was found that heat treatment of CNTs effectively improved the TC and influenced rheological properties of NFs. Scanning electron microscopy analysis revealed TX modified NFs showed better dispersion ability compared to GA. Surface modification of the CNTs was confirmed by Fourier Transformation Infrared (FTIR) analysis. Zeta potential measurement showed the stability region for GA modified NFs in the pH range of 5-11, whereas pH was between 9.5-10 for TX NFs. The concentration of surface modifier plays an extensive role on both TC and rheological behavior of NFs. A maximum TC enhancement of 10% with increases in viscosity around 2% for TX based HT-CNTs NFs was measured. Finally comparison of experimental TC results with the predicted values obtained from a model demonstrated inadequacy of the predictive model for CNT NFs system.
机译：本工作研究了使用两步法制备的水基碳纳米管（CNT）纳米流体（NFs）的制备，热导率（TC）和流变特性。使用X射线衍射和热重分析研究了接收到的（AR）CNT并加热的效果。将AR-CNT和热处理的CNT（HT-CNT）分别分散在不同浓度的表面改性剂阿拉伯胶（GA）和TritonX-100（TX）中。发现CNT的热处理有效地改善了TC并影响了NFs的流变性。扫描电子显微镜分析显示，TX修饰的NFs比GA具有更好的分散能力。 CNT的表面改性已通过傅立叶变换红外（FTIR）分析得到证实。 Zeta电势测量显示了在5-11的pH范围内GA修饰的NFs的稳定区域，而对于TX NFs的pH在9.5-10之间。表面改性剂的浓度对TC和NFs的流变行为均起着广泛的作用。对于基于TX的HT-CNT NFs，最大TC增强10％，随着粘度增加2％左右。最后，将实验TC结果与从模型中获得的预测值进行比较，结果表明CNT NFs系统的预测模型不足。

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