Synergistic toughening modification and finite element analysis of carbon fiber/epoxy resin-reinforced composites

Weihao Xu, Yuqing Wang, Zhiqi Gu,Ping Wang, Yan Zhang,Yuanyuan Li

POLYMER COMPOSITES(2024)

引用 0|浏览2
暂无评分
摘要
In this work, the poor fracture toughness of carbon fiber-reinforced composites (CFRPs) was improved by the introduction of a graphene oxide/nanosilica (GOS) hybrid, and short carbon fibers (SCFs) were investigated through experimental and modeling methods. The effects of the SCF content, number of SCF layers, and introduction position on the mode I fracture toughness (GIC) and mode II fracture toughness (GIIC) of the composites were considered for epoxy resin (EP) modified by GOS. The results showed that GOS and SCF exhibited a synergistic toughening effect on CFRP. The GIC and GIIC of CFRP laminate with GOS content of 0.2 wt% and SCF content of 0.4 wt% reached 0.506 and 2.15 kJ/m2, increased by 72.2% and 53.6% compared to the unmodified composite, respectively. The number of layers and the lamination mode of GC10S5-B specimens exhibited the optimal improvement of interlaminar fracture toughness. Similarly compared with those of the original. The GIC and GIIC of the CFRP laminates reached 0.662 and 0.506 kJ/m2 (enhanced by 125.9% and 95%, respectively). In addition, the stress propagation path and distribution, and progressive damage of the CFRP composites were obtained to further reveal the toughness mechanism.Highlights Synergistic toughening of resin modification and short carbon fiber on modes I and II fracture toughness of composites were considered. Content of short carbon fiber and lay-up methods on toughness performance were investigated thoroughly. Finite element models were established to reveal the stress progress and distribution and toughness mechanism. Preparation and performance testing of synergistic toughened laminates. image
更多
查看译文
关键词
carbon fiber-reinforced composites,failure mechanism,finite element modeling,fracture toughness
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要