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游艇用碳纤-玻纤混杂增强复合材料加速老化性能研究及寿命预测

ACCELERATED AGING PERFORMANCE AND LIFE PREDICTION OF CARBON-GLASS FIBER REINFORCED COMPOSITE FOR YACHT
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摘要 采用无碱玻璃纤维与碳纤维混杂增强2597PT不饱和树脂制备碳纤-玻纤混杂增强复合材料,结合游艇在海洋环境下的实际工况,通过人工加速老化方法,对其进行盐雾-紫外交变老化实验,研究其在此老化环境下的性能演变规律,建立寿命模型并进行寿命预测。研究表明:随着盐雾-紫外交变老化周期的增加,材料表面总色差逐渐变大,且表面黄变;复合材料力学性能逐渐降低,且在老化初期下降较为明显;在Gunyaev剩余强度理论的基础上,拟合得到其剩余拉伸强度公式为S=S0+14.13(1-e^(-0.61t))-9.16ln(1+2.49t),相关系数R^2=0.997;结合中国船级社《材料与焊接规范》要求,预测此材料在上述条件下可使用约30年。 In this paper,the composite materials of carbon fiber and glass fiber reinforced 2597PT unsaturated resin were fabricated.In combination with the actual use of yacht under the marine environment,the salt fog purple diplomatic aging test is carried out by artificial accelerated aging method,and its performance evolution rules under this aging environment are studied.The residual strength model is established and the residual strength of composite materials is predicted.The results show that with the increase of the aging period of the salt fog and purple,the chromatic aberration of the material becomes larger and the surface is yellow.The mechanical properties of the composite gradually decrease,and the decrease is more obvious in the early age of aging.Based on the residual strength theory of Gunyaev,the residual tensile strength formula of the composite is S=S0+14.13(1-e^-0.61 t)-9.16 ln(1+2.49t),and the correlation coefficient R^2=0.997.According to the requirements of CCS"Materials and Welding Code",we can predicte that the material can be used for about 30 years under the above conditions.
作者 李萌 李志铮 宾远红 LI Meng;LI Zhi-zheng;BIN Yuan-hong(Guangdong Zhuhai Supervion Testing Institute of Quality and Metrology,Zhuhai 519000,China;National Quality Supervising Test Center for Materials of Ship andMarine Engineering Equipment,Zhuhai 519000,China)
出处 《玻璃钢/复合材料》 CSCD 北大核心 2018年第10期90-95,共6页 Fiber Reinforced Plastics/Composites
基金 广东省质量技术监督局科技计划项目(2017PZ10)
关键词 碳纤-玻纤混杂增强复合材料 盐雾-紫外交变老化 力学性能 寿命预测 carbon-glass fiber reinforced composite reinforced composites salt fog purple diplomatic aging mechanical performance prediction of material
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