摘要
近些年航空航天对轻质高强抗疲劳铝合金的需求日益迫切,铸造缺陷的预测与抑制技术受到广泛重视。铝合金凝固过程中产生的氢气孔缺陷是疲劳失效的主要裂纹源,其预测与控制技术是高品质铝合金制备加工的核心工艺技术。在国外,元胞自动机(CA)等具有物理意义且计算效率较高的微观组织结构模型已成功地应用于先进铸造工艺的设计,如飞机发动机单晶叶片、飞机发动机涡轮盘,以及飞机蒙皮高强轻质铝合金工艺窗口优化。总结了计算模型应用于铝合金凝固过程中缺陷的预测及最新研究进展,提出了未来缺陷预测模型的发展方向。
In recent years,rapid development of aerospace and aeronautic industries demands for light-weight,high strength,and fatigue resistant aluminum alloys.Predictions of cast defects and technologies of controlling those defects become more and more important.Hydrogen porosity is one of the major initiators for the fatigue failures of aluminum alloys,which forms during solidification.In the foreign companies,mathematical models such as cellular automaton(CA)model have been widely used to optimize the advanced casting practices such as single crystal turbine blades,turbine disc,and exterior frames for aircraft engines.This paper summarizes the most recent progresses of defect prediction models for solidification process,and propose the future directions for modeling of casting defects.
作者
王兵
王俊升
WANG Bing;WANG Junsheng(School of Materials Science&Engineering,Beijing Institute of Technology,Beijing 100081,China;Advanced Research Institute for Multidisciplinary Science,Beijing Institute of Technology,Beijing 100081,China)
出处
《航空制造技术》
CSCD
北大核心
2022年第5期76-86,共11页
Aeronautical Manufacturing Technology
基金
国家自然科学基金面上基金(52073030)
国家自然科学基金区域创新发展联合基金(重点项目)(U20A20276)。
关键词
铝合金
凝固
微观组织结构
缺陷预测
元胞自动机模型
Aluminum alloys
Solidification
Microstructure
Defect prediction
Cellular automaton models
