Crystal plasticity modeling fatigue behavior in bimodal Ti-6Al-4V: Effects of microdefect and lamellar orientation

被引:3
|
作者
Zhao, Yindun [1 ]
Tang, Keke [1 ]
Ferro, Paolo [2 ]
Berto, Filippo [3 ]
机构
[1] Tongji Univ, Sch Aerosp Engn & Appl Mech, Shanghai 200092, Peoples R China
[2] Univ Padua, Dept Engn & Management, Vicenza, Italy
[3] Sapienza Univ Rome, Dept Chem Engn Mat Environm, Rome, Italy
基金
中国国家自然科学基金;
关键词
bimodal Ti-6Al-4V; fatigue life; lamellae; lamellar orientation; microdefects; HIGH-CYCLE FATIGUE; CRACK GROWTH RESISTANCE; TITANIUM-ALLOY; MICROSTRUCTURE; INITIATION; DEFORMATION; SIMULATIONS; PROPAGATION; THRESHOLD;
D O I
10.1111/ffe.14292
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
Investigating fatigue failure in titanium alloys is crucial for material design and engineering. Fatigue behavior in dual-phase titanium alloys is strongly correlated with microstructural features and microdefects. This work formulates an improved modeling method to investigate fatigue behavior of bimodal Ti-6Al-4V, emphasizing the effects of lamellar orientation and microdefects. Using an improved Voronoi tessellation method, we establish representative volume element (RVE) models with various grain size distributions. Crystal plasticity finite element modeling (CPFEM) is used to analyze fatigue deformation in bimodal Ti-6Al-4V, considering microdefects and lamellar orientation. Fatigue indicator parameters are then incorporated into CPFEM to predict fatigue life and verified with experimental data. Numerical results highlight the significant influence of lamellar orientation and microdefects on fatigue behavior, with predicted life within the 3-error band. This method efficiently overcomes challenges in quantitatively characterizing microstructural lamellae that experiments are short of, paving the way for designing fatigue-resistant alloy materials with similar microstructures. The proposed method effectively addresses the effects of lamellar orientation and microdefects. The improved VT modeling can reflect grain size distribution in bimodal Ti-6Al-4V. CPFEM-based modeling method achieves acceptable fatigue life prediction accuracy.
引用
收藏
页码:2195 / 2214
页数:20
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