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Experimental Investigation of the Melt Shear Viscosity Specific Volume and Thermal Conductivity of Low-Density Polyethylene/Multi-Walled Carbon Nanotube Composites Using Capillary Flow

机译:低密度聚乙烯/多壁碳纳米管复合材料熔体剪切粘度比容和导热系数的实验研究

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摘要

Understanding the flow behavior of polymer/carbon nanotube composites prior to melt processing is important for optimizing the processing conditions and final product properties. In this study, the melt shear viscosity, specific volume and thermal conductivity of low-density polyethylene (LDPE) filled with multi-walled carbon nanotubes (MWCNTs) were investigated for representative processing conditions using capillary rheometry. The experimental results show a significant increase in the melt shear viscosity of the LDPE/MWCNT composite with nanotube loadings higher than 1 wt.%. Upon increasing shear rates, the composites flow like a power-law fluid, with a shear-thinning index less than 0.4. The specific volume decreases with increasing pressure and nanotube loading, while the transition temperature increases linearly with increasing pressure. The thermal conductivity of the LDPE/MWCNT composite is nearly independent of nanotube loading up to the thermal percolation threshold of 1 wt.% and increases linearly with further increases in nanotube loading, reaching 0.35 W/m·K at 5 wt.%. The Carreau–Winter and Cross viscosity models and Tait equation, respectively, are able to predict the shear viscosity and specific volume with a high level of accuracy. These results can be used not only to optimize processing conditions through simulation but also to establish structure–property relationships for the LDPE/MWCNT composites.
机译:在优化熔融条件之前,了解聚合物/碳纳米管复合材料的流动行为对于优化加工条件和最终产品性能非常重要。在这项研究中,使用毛细管流变法研究了填充多壁碳纳米管(MWCNT)的低密度聚乙烯(LDPE)的熔体剪切粘度,比容和热导率,以作为代表性的加工条件。实验结果表明,LDPE / MWCNT复合材料的熔体剪切粘度显着增加,纳米管负载量大于1 wt。%。随着剪切速率的增加,复合材料像幂律流体一样流动,剪切稀化指数小于0.4。比容随压力和纳米管负载的增加而减小,而转变温度随压力的增加而线性增加。 LDPE / MWCNT复合材料的热导率几乎与纳米管负载量无关,直至热渗透阈值达到1 wt。%,并且随着纳米管负载量的进一步增加而线性增加,在5 wt。%时达到0.35 W / m·K。 Carreau-Winter和Cross黏度模型以及Tait方程能够以较高的精度预测剪切黏度和比容。这些结果不仅可用于通过仿真优化工艺条件,还可用于建立LDPE / MWCNT复合材料的结构-性能关系。

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