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Measuring and predicting in-plane thermal conductivity of carbon-filled nylon 6,6 polymer composites

机译:碳填充尼龙6,6聚合物复合材料的面内导热率的测量和预测

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In this study, two different carbons (synthetic graphite particles and carbon fiber) were added to nylon 6,6, and the resulting composites were tested for both the through-plane thermal conductivity k(thru) and the inplane thermal conductivity k(in), using the transient plane source method. The first goal of this work was to use a finite element model to develop a procedure to accurately measure the material properties using this relatively new analytical procedure. Reproducible data can be obtained for nylon 6,6 polymer composites, by choosing a power dissipation (an input parameter to the transient plane source method) corresponding to a sensor temperature increase of 2 K above the initial temperature after 5 s. The second goal of this work was to develop a simple empirical model for the in-plane thermal conductivity, which is easily measured with the transient plane source method. The results show that the product of the through-plane and in-plane thermal conductivities is a linear function of the volume percent phi. As the through-plane thermal conductivity of these composites is accurately predicted with a modified Nielsen model, this empirical relationship can be used to estimate in-plane thermal conductivities for a range of applications.
机译:在这项研究中,将两种不同的碳(合成石墨颗粒和碳纤维)添加到尼龙6,6中,并对所得复合材料的贯穿面热导率k(th)和面内导热率k(in)进行了测试。 ,使用瞬态平面源方法。这项工作的首要目标是使用有限元模型来开发一种使用这种相对较新的分析程序来准确测量材料性能的程序。通过选择对应于传感器温度在5 s之后比初始温度高2 K的功耗(瞬态平面源法的输入参数),可以获得尼龙6,6聚合物复合材料的可再现数据。这项工作的第二个目标是为平面内热导率开发一个简单的经验模型,该模型可以通过瞬态平面源法轻松测量。结果表明,平面内和平面内热导率的乘积是体积百分比phi的线性函数。由于使用改良的Nielsen模型可以准确预测这些复合材料的贯穿面导热系数,因此该经验关系可以用于估算一系列应用的面内导热系数。

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