摘要
铸件在铸造过程中会不可避免地产生显微孔洞,严重降低了铸件疲劳寿命。本文综述铸件中显微孔洞特征(尺寸、形状和空间分布)对疲劳寿命的影响,包括显微孔洞类型,孔洞特征分布规律,孔洞最大尺寸预测方法和含孔洞材料疲劳寿命预测方法;通过对疲劳寿命预测模型的回顾,发现目前含显微孔洞铸件疲劳寿命预测方法还不成熟;展望了显微孔洞特征对疲劳寿命影响的研究。提出未来应该依靠先进光源展开原位疲劳实验或者分子动力学仿真来研究孔洞疲劳失效微观机理,建立考虑不同显微孔洞特征参数,以及不同孔洞间相互影响的疲劳寿命定量预测模型。
Microporosities in casting alloys cannot be avoided in the casting process,which reduces the fatigue life of structure greatly.The current progress of microprosity characteristics(size,shape and position)in casting alloys and their effects on fatigue life is reviewed and prospected,including the types of porosities,distribution rules of porosity characteristics,and prediction method of maximum porosity size and the fatigue life prediction method of castings containing porosities.Through reviewing the fatigue life prediction model,it is concluded that the current fatigue life prediction method of casting is not yet mature.The future research of this field is prospected.The future research should rely on advanced light sources to perform in-situ fatigue experiments or molecular dynamics simulations to study the microscopic mechanism of fatigue failure,and a quantitative prediction model for fatigue life considering different characteristics of porosities and the interaction between them should be established.
作者
姜文
姚卫星
王英玉
Jiang Wen;Yao Weixing;Wang Yingyu(State Key Laboratory of Mechanics and Control of Mechanical Structures,Nanjing University of Aeronautics and Astronautics,Nanjing 210016,China;Key Laboratory of Fundamental Science for National Defense-advanced Design Technology of Flight Vehicle,Nanjing University of Aeronautics and Astronautics,Nanjing 210016,China)
出处
《航空工程进展》
CSCD
2019年第4期445-455,486,共12页
Advances in Aeronautical Science and Engineering
基金
国家自然科学基金项目(51875276)
航空科学基金(2017ZF52073)
国家科技重大专项(2017-VI-0003-0073)
关键词
铸件
显微孔洞
特征分布规律
尺寸预测
疲劳寿命
casting
microporosity
characteristics distribution rule
size prediction
fatigue life
作者简介
姜文(1992-),男,博士研究生。主要研究方向:含孔洞镍基单晶疲劳寿命评估;通信作者:姚卫星(1957-),男,博士,教授,博导。主要研究方向:飞行器结构疲劳、断裂、优化设计,wxyao@nuaa.edu.cn;王英玉(1977-),女,博士,副教授。主要研究方向:多轴疲劳寿命预测。
