Study on water absorption and mechanical properties of CNF–Ti reinforced epoxy resin composites

IF 2.1 4区材料科学 Q3 MATERIALS SCIENCE, COMPOSITES

Plastics, Rubber and Composites Pub Date : 2021-12-16 DOI:10.1080/14658011.2021.2017127

Hui Chai, Xinhua Wang, W. Rehman, Xuyun Yang, Tao Meng

引用次数: 5

Abstract

ABSTRACT The effects of carbon nanofibres (CNFs), titanium nanoparticles (Ti) and CNF–Ti fillers on the water absorption and mechanical properties of the composites were studied. The results showed that with the increase in filler mass fraction, the water absorption and mechanical properties of epoxy resin composites showed a trend of first increasing and then decreasing. When 6% CNF–Ti filler was added, the water absorption and diffusion coefficients of the composites were reduced to 2.32% and 1.04 ± 0.05 × 10−6 m2/s, and their tensile and impact strengths were improved by 200% and 124.55%, respectively, compared with the pure resin. However, when the filler was added in excess, agglomerates were generated inside the composite, which can affect the performance of the composite to a great extent. The above experimental results were verified by morphology observations via scanning electron microscopy.

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CNF-Ti增强环氧树脂复合材料的吸水性和力学性能研究

研究了碳纳米纤维(CNFs)、钛纳米粒子(Ti)和CNF-Ti填料对复合材料吸水率和力学性能的影响。结果表明:随着填料质量分数的增加，环氧树脂复合材料的吸水率和力学性能均呈现先增加后降低的趋势;当添加6% CNF-Ti填料时，复合材料的吸水系数和扩散系数分别降至2.32%和1.04±0.05 × 10−6 m2/s，抗拉强度和冲击强度分别比纯树脂提高200%和124.55%。然而，当填料添加过量时，复合材料内部会产生结块，从而在很大程度上影响复合材料的性能。上述实验结果通过扫描电镜观察得到了验证。

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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来源期刊

Plastics, Rubber and Composites 工程技术-材料科学：复合

CiteScore

4.10

自引率

0.00%

发文量

审稿时长

4 months

期刊介绍： Plastics, Rubber and Composites: Macromolecular Engineering provides an international forum for the publication of original, peer-reviewed research on the macromolecular engineering of polymeric and related materials and polymer matrix composites. Modern polymer processing is increasingly focused on macromolecular engineering: the manipulation of structure at the molecular scale to control properties and fitness for purpose of the final component. Intimately linked to this are the objectives of predicting properties in the context of an optimised design and of establishing robust processing routes and process control systems allowing the desired properties to be achieved reliably.