不同注射温度和热处理对聚醚醚酮/碳纤维复合材料摩擦磨损性能的影响
Effects of Different Injection Temperatures and Heat Treatments on Friction and Wear Properties of PEEK/CF Composites
施水娟 1卞达 2李佳红 2王恺璇 2徐鹏程 2赵鹏 2赵永武 2陈义3
作者信息
- 1. 南通职业大学汽车与交通工程学院,江苏南通 226000
- 2. 江南大学机械工程学院,江苏无锡 214122
- 3. 无锡科技职业学院智能制造学院,江苏无锡 214028
- 折叠
摘要
为了对聚醚醚酮(PEEK)的成型工艺进行优化,从而提高材料的耐磨损性能,并拓展其工业应用.以碳纤维(CF)为增强相,在不同注射温度条件下,制备了不同热处理工艺下的PEEK/CF复合材料.利用摩擦磨损试验机对复合材料的摩擦学性能进行测试,并利用X-射线衍射仪、白光干涉仪和扫描电子显微镜对材料进行表面分析和性能测试.结果表明:注射温度和热处理工艺对PEEK/CF复合材料的物相没有影响.随着注射温度的增加,样品表面的摩擦系数和磨损呈现出先减小后增大的趋势,而回火后样品的摩擦系数和磨损率更小.注射温度为175℃且回火后的材料,其摩擦系数最低,为0.091 4,磨损率最小,为0.106×10-6 mm3/(N·m).研究表明,合适的注射温度和热处理可以提高PEEK/CF复合材料的减磨耐磨性能.
Abstract
In order to optimize the molding process of polyetheretherketone(PEEK)and improve the wear resistance of the material and expand the range of applications,carbon fiber(CF)is used as reinforcing phase and PEEK/CF composites under different heat treatment processes were prepared at different injection temperature conditions.Tribologic properties of composites are tested by tribo-wear testing machines,and surface analysis and performance tests are performed using a X-ray diffraction,a white light interferometer,and a scanning electron microscope.The results show that the injection temperature and heat treatment process have no effect on the phase of PEEK/CF composites.With the increase of injection temperature,the friction coefficient and wear of the sample surface show a trend of decreasing first and then increasing,while the friction coefficient and wear rate of the sample after tempering are smaller.When the injection temperature is 175℃,the friction coefficient of the tempered material is the lowest,which is 0.091 4,and the wear rate is the lowest,which is 0.106×10-6 mm3/(N·m).The research indicates that appropriate injection temperature and heat treatment can improve the wear reduction and wear resistance of PEEK/CF composites.
关键词
聚醚醚酮/碳纤维/摩擦系数/磨损率Key words
Polyetheretherketone/Carbon fiber/Friction coefficient/Minimum wear rate引用本文复制引用
基金项目
国家自然科学基金(51675232)
江苏省自然科学基金(BK20190611)
出版年
2024
国家科技期刊平台
NSTL
万方数据