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Effects of Thickness and Amount of Carbon Nanofiber Coated Carbon Fiber on Improving the Mechanical Properties of Nanocomposites

机译:碳纳米纤维包覆碳纤维的厚度和数量对改善纳米复合材料力学性能的影响

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摘要

In the current study, carbon nanofibers (CNFs) were grown on a carbon fiber (CF) surface by using the chemical vapor deposition method (CVD) and the influences of some parameters of the CVD method on improving the mechanical properties of a polypropylene (PP) composite were investigated. To obtain an optimum surface area, thickness, and yield of the CNFs, the parameters of the chemical vapor deposition (CVD) method, such as catalyst concentration, reaction temperature, reaction time, and hydrocarbon flow rate, were optimized. It was observed that the optimal surface area, thickness, and yield of the CNFs caused more adhesion of the fibers with the PP matrix, which enhanced the composite properties. Besides this, the effectiveness of reinforcement of fillers was fitted with a mathematical model obtaining good agreement between the experimental result and the theoretical prediction. By applying scanning electronic microscope (SEM), transmission electron microscope (TEM), and Raman spectroscopy, the surface morphology and structural information of the resultant CF-CNF were analyzed. Additionally, SEM images and a mechanical test of the composite with a proper layer of CNFs on the CF revealed not only a compactness effect but also the thickness and surface area roles of the CNF layers in improving the mechanical properties of the composites.
机译:在当前的研究中,通过使用化学气相沉积法(CVD)在碳纤维(CF)的表面上生长碳纳米纤维(CNF)以及CVD方法的某些参数对改善聚丙烯(PP)力学性能的影响)复合材料进行了研究。为了获得CNF的最佳表面积,厚度和产率,优化了化学气相沉积(CVD)方法的参数,例如催化剂浓度,反应温度,反应时间和烃流速。观察到,CNF的最佳表面积,厚度和产率引起纤维与PP基质的更多粘合,这增强了复合物的性能。除此之外,用数学模型拟合填料的增强效果,该数学模型在实验结果和理论预测之间取得了良好的一致性。通过应用扫描电子显微镜(SEM),透射电子显微镜(TEM)和拉曼光谱,分析了所得CF-CNF的表面形态和结构信息。另外,在CF上具有适当的CNFs层的复合材料的SEM图像和机械测试显示,不仅压缩效应,而且CNF层的厚度和表面积在改善复合材料的机械性能方面的作用。

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