T700/PPS热塑缠绕复合材料NOL环拉-拉疲劳行为研究及寿命预测初探  

Research on tension-tensile fatigue behavior and life prediction of T700/PPS filament winding thermoplastic composites with NOL rings

作　　者：闫磊 赵飞 还大军[1] 张盛源 王斌 肖军[1] YAN Lei;ZHAO Fei;HUAN Dajun;ZHANG Shengyuan;WANG Bin;XIAO Jun(College of Materials Science and Technology,Nanjing University of Aeronautics and Astronautics,Nanjing 210016,China;Hubei Key Laboratory of Advanced Aerospace Propulsion Technology,System Design Institute of Hubei Aerospace Technology Academy,Wuhan 430040,China;Lishi(Shanghai)Instrument Co.,Ltd.,Shanghai 201506,China)

机构地区：[1]南京航空航天大学材料科学与技术学院,南京210016 [2]湖北航天技术研究院总体设计所航天动力先进技术湖北省重点实验室,武汉430040 [3]力试(上海)科学仪器有限公司,上海201506

出　　处：《复合材料科学与工程》2024年第9期73-81,共9页Composites Science and Engineering

摘　　要：面向碳纤维增强聚苯硫醚(T700/PPS)热塑性复合材料缠绕构件应用,首次将NOL环试验用于拉-拉疲劳行为研究并提出寿命预测方法。基于自主研发的热塑性复合材料原位固结缠绕平台,采用T700/PPS预浸料和激光辅助缠绕原位固结工艺制备NOL试样;按照标准NOL环拉伸试验得到其静拉伸强度均值为2438.35 MPa,离散系数为2.0%,破坏模式表现为脆性断裂,据此静强度数据制定疲劳测试的应力水平。针对环形试验件特点设计“分瓣圆环”疲劳夹具,开展NOL环在不同应力水平下的拉-拉疲劳试验,借助红外热成像仪观测并分析其在疲劳周期内的热学行为,捕捉和分析破坏模式。针对疲劳寿命数据离散性大的特点提出便捷高效的寿命预测算法:基于K-means聚类实现快速数据筛选,构建灰色GM(1,1)模型进行NOL环疲劳寿命预测并绘制S-N曲线。结果显示,当应力水平低于静强度的47%时,疲劳寿命将超过107次,进入无限疲劳寿命阶段,为高速旋转缠绕件及热塑缠绕压力容器寿命设计提供了支撑。For the application of filament winding carbon fiber reinforced polyphenylene sulfide(T700/PPS)thermoplastic composites,the NOL ring test was used to study the tension-tension fatigue behavior for the first time and a life prediction method was proposed.Based on the self-developed thermoplastic composite filament winding platform with in-situ consolidation,NOL rings were prepared with T700/PPS prepreg by laser-assisted heating.According to the standard NOL ring tensile test,the result of average static tensile strength was 2438.35 MPa,the dispersion coefficient was 2.0%and the failure mode was brittle fracture.Based on static strength data,the stress level of the fatigue test was determined.Aiming at the characteristics of the ring-shaped test piece,a“split ring”fatigue fixture was designed to carry out the tension-tension fatigue test of the NOL rings under different stress levels,then the thermal behavior during the fatigue cycle was analyzed with the help of infrared thermal imager and the failure modes was captured.In view of the large discreteness of fatigue life data,a convenient and efficient life prediction algorithm was proposed:The fast data screening was realized by K-means clustering,and the grey GM(1,1)model was constructed to predict the fatigue life of NOL rings and draw the S-N curve.It was found that when the stress level is lower than 47%of the static strength,the fatigue life will exceed 107 times and enter the infinite fatigue life stage,which provides support for the life design of high-speed rotating parts and thermoplastic pressure vessels manufactured by filament winding.

关 键 词：热塑性复合材料 NOL环疲劳试验 热学行为 破坏模式 数据筛选方法 寿命预测 

分 类 号：TB332[一般工业技术—材料科学与工程]