表面功能化多壁碳纳米管改性玻纤增强树脂基复合材料的拉-拉疲劳性能研究  

Tension-tension fatigue properties of surface-functionalized multi-walled carbon nanotubes modified glass fiber reinforced resin matrix composites

作　　者：刘帅文 沈金荣 吉新柱 张强先 方园[1] LIU Shuaiwen;SHEN Jinrong;JI Xinzhu;ZHANG Qiangxian;FANG Yuan(College of Civil Engineering,Nanjing Tech University,Nanjing 211816,China)

机构地区：[1]南京工业大学土木工程学院,南京211816

出　　处：《复合材料科学与工程》2023年第8期92-100,共9页Composites Science and Engineering

基　　金：江苏省自然科学基金(BK20201361)。

摘　　要：通过拉-拉疲劳试验,研究了表面功能化多壁碳纳米管(MWCNTs)对玻璃纤维增强树脂基复合材料疲劳性能的影响,基于试验数据选择了可线性化的指数函数和幂函数的S-N曲线模型分别对复合材料的疲劳寿命进行量化分析。研究结果表明:氨基化MWCNTs(MWCNTs-NH_(2))改性环氧树脂试件的疲劳性能优于羧基化MWCNTs(MWCNTs-COOH)改性环氧树脂试件的疲劳性能;而MWCNTs-COOH改性不饱和聚酯树脂试件的疲劳性能优于MWCNTs-NH_(2)改性不饱和聚酯树脂试件的疲劳性能。当MWCNTs-NH_(2)和MWCNTs-COOH的含量均为0.2wt%时,改性后复合材料的疲劳性能达到最佳。幂函数线性拟合结果比指数函数线性拟合结果的相关系数高,拟合精度更准确,且该模型的复合材料疲劳寿命预测结果与试验结果也较为吻合。The effects of surface-functionalized multi-walled carbon nanotubes(MWCNTs)on the fatigue properties of glass fiber reinforced resin matrix composites were investigated by tension-tension fatigue tests.Based on the test data,the linearizable exponential function and the power function S-N curve models were selected to quantitatively analyze the fatigue life of composites.The results showed that the fatigue properties of the aminated MWCNTs(MWCNTs-NH_(2))modified epoxy resin specimens were better than those of the carboxylated MWCNTs(MWCNTs-COOH)modified epoxy resin specimens;while the fatigue properties of the MWCNTs-COOH modified unsaturated polyester resin specimens were better than those of the MWCNTs-NH_(2)modified unsaturated polyester resin specimens.When the contents of MWCNTs-NH2 and MWCNTs-COOH were both 0.2wt%,the fatigue proper⁃ties of the modified composites reached the best.The correlation coefficient of the power function linear fitting results was higher than that of the exponential function linear fitting results,and the fitting accuracy was more accurate,and the fatigue life prediction results of composites of this model were also in good agreement with the test results.

关 键 词：多壁碳纳米管 玻璃纤维增强复合材料 拉-拉疲劳 S-N曲线 寿命预测 

分 类 号：TB332[一般工业技术—材料科学与工程]