Evaluation of mechanical properties of nano filled glass fiber reinforced composites

T. Rajmohan, U.K Koundinya, A. Arun Premnath, G. Harish
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引用次数: 9

Abstract

Fiber reinforced polymer (FRP) composites plays an important role in many industries; because weight to strength ratio is extremely high when compared to monolithic metals. One of the main limitations of FRP composites are the low mechanical properties due to the presence of polymer associated with it. To solve this problem, material engineers are investigating the use of different nanoparticles mixed in different polymers to improve mechanical properties of the polymer. In the present investigation nano Copper Oxide (CuO) materials dispersed in polystyrene resin using ultrasonic bath sonicator are used as matrix face for glass fiber reinforced plastics which is manufactured by hand layup processes. As per ASTM standards tensile and compression test are carried out in universal testing machine. Microstructure of samples has been investigated by scanning electron microscope (SEM). Hence the dispersion of reinforcement was noted. A Linear regression model has been developed to predict mechanical properties of nano filled GFRP composites The results indicated that the predicted values through the developed model are well agreement with the experimental results and with increase in weight % of nano CuO improves the the mechanical properties.
纳米填充玻璃纤维增强复合材料力学性能评价
纤维增强聚合物(FRP)复合材料在许多行业中发挥着重要作用;因为与整体金属相比,重量强度比非常高。FRP复合材料的主要限制之一是由于与之相关的聚合物的存在而导致机械性能低。为了解决这个问题,材料工程师正在研究将不同的纳米颗粒混合在不同的聚合物中,以改善聚合物的机械性能。采用超声波浴声器将纳米氧化铜(CuO)材料分散在聚苯乙烯树脂中,作为手工叠层法制备玻璃纤维增强塑料的基面。根据ASTM标准,拉伸和压缩试验在万能试验机上进行。用扫描电子显微镜(SEM)研究了样品的微观结构。因此,注意到增援部队的分散。建立了预测纳米填充GFRP复合材料力学性能的线性回归模型。结果表明,该模型的预测值与实验结果吻合较好,纳米CuO添加量的增加能提高GFRP复合材料的力学性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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