Progress in additive manufacturing, additive repair and fatigue evaluation of aviation titanium alloy blades

被引:26
作者
Wang, Lingfeng [1 ]
Li, Yinghong [1 ]
Zhou, Liucheng [1 ]
Lou, Yanshan [2 ]
Liu, Shijie [3 ,4 ]
Zheng, Dayong [3 ,4 ]
Yi, Min [5 ,6 ]
机构
[1] Air Force Engn Univ, Natl Key Lab Aerosp Power Syst & Plasma Technol, Xian 710038, Peoples R China
[2] Xi An Jiao Tong Univ, Sch Mech Engn, Xian, Peoples R China
[3] Beijing Aerosp Prop Inst, Beijing, Peoples R China
[4] Lab Sci & Technol Cryogen Liquid Prop, Beijing, Peoples R China
[5] Nanjing Univ Aeronaut & Astronaut, State Key Lab Mech & Control Aerosp Struct, Nanjing, Peoples R China
[6] Nanjing Univ Aeronaut & Astronaut, Coll Aerosp Engn, Nanjing, Peoples R China
关键词
Aero-engine; titanium alloy; additive manufacturing; microstructure; damage mechanism; fatigue; HIGH-CYCLE FATIGUE; BALLISTIC PENETRATION RESISTANCE; DIRECT LASER DEPOSITION; MECHANICAL-PROPERTIES; CRACK-PROPAGATION; SURFACE-ROUGHNESS; HEAT-TREATMENT; TURBINE BLADE; PROCESSING PARAMETERS; RESIDUAL-STRESSES;
D O I
10.1080/21663831.2023.2275599
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The aviation industry is a key market that promote additive manufacturing (AM) technology since there are huge demands for precision manufacture of high-value complex structural parts and repair of local defects. Extensive research has been conducted on AM process, characterization, and fatigue evaluation of titanium alloy, but there are rare comprehensive reviews on fatigue evaluation methods used for AM aero-engine blades. Rigorous tests, evaluation, and certification are necessary before AM technology is applied in aero-engine blade repair, although it has shown great advantages in different engineering fields. This paper introduces the application of AM technology in the manufacturing and repair of aero-engine titanium alloy blades, summarizes the key factors affecting the fatigue performance of AM titanium alloys, thoroughly discusses the fatigue mechanism, research methods, and process optimizations of AM parts, and compares the differences among several prediction models in fatigue evaluation of AM titanium alloys.{GRAPHICAL ABSTRACT}
引用
收藏
页码:973 / 1012
页数:40
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