Ghaemi Ferial, Ahmadian Ali, Yunus Robiah, Ismail Fudziah, Rahmanian Saeed
Institute of Advanced Technology (ITMA), Universiti Putra Malaysia, 43400 UPM, Serdang, Selangor, Malaysia.
Department of Mathematics, Faculty of Sciences, and Institute for Mathematical Research (INSPEM), Universiti Putra Malaysia, 43400 UPM, Serdang, Selangor, Malaysia.
Nanomaterials (Basel). 2016 Jan 2;6(1):6. doi: 10.3390/nano6010006.
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.
在本研究中,采用化学气相沉积法(CVD)在碳纤维(CF)表面生长碳纳米纤维(CNF),并研究了CVD法的一些参数对改善聚丙烯(PP)复合材料力学性能的影响。为了获得CNF的最佳表面积、厚度和产率,对化学气相沉积(CVD)法的参数,如催化剂浓度、反应温度、反应时间和烃流速进行了优化。观察到CNF的最佳表面积、厚度和产率使纤维与PP基体的粘附性更强,从而增强了复合材料的性能。除此之外,填料增强效果与数学模型拟合,实验结果与理论预测吻合良好。通过扫描电子显微镜(SEM)、透射电子显微镜(TEM)和拉曼光谱对所得CF-CNF的表面形态和结构信息进行了分析。此外,CF上有适当CNF层的复合材料的SEM图像和力学测试不仅揭示了致密化效应,还揭示了CNF层在改善复合材料力学性能方面的厚度和表面积作用。