Quantifying lamellar microstructural effect on the fatigue performance of bimodal Ti-6Al-4V with microdefect

Tang, Keke; Chen, Kunrong; Ferro, Paolo; Berto, Filippo

doi:10.1016/j.ijfatigue.2022.107045

Cited by 10 publications

(9 citation statements)

References 58 publications

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“…In Figure 4, the cumulative plastic shear strain in the darker area formed obviously banded, so presumably, the crack along the high cumulative plastic shear strain area is likely to grow. To better study the mechanical response of the model under the same external load condition from the microstructure, some grains are selected as the research objects [9] . The grains' initial orientations are listed in Table 2 5 shows the Mises stress variation of the characteristic grains under 1%, 3%, and 5% tensile strain.…”

Section: Simulation Results and Discussionmentioning

confidence: 99%

Microstructure characterization and crystal plastic finite element simulation of additive manufacturing 316 L stainless steel

Huang,

Zeng

2023

J. Phys.: Conf. Ser.

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Due to the layer-by-layer molding mode of additive manufacturing (AM) technology, the mechanical properties of additive manufacturing structural parts are very different from those of traditional structural parts. The macroscopic mechanical properties of additive structural parts show obvious anisotropy; thus, the macroscopic model is not suitable to describe the effect of material microstructure (grain distribution, initial grain orientation, etc.) on the macroscopic mechanical behavior. Setting up a simplified structure microstructure of representative volume element (RVE), and the mechanical behavior response of AM 316 L stainless steel is simulated based on the finite element method for crystal plasticity. While uniaxial tension was regarded as a typical loading, the effect of microstructure on macroscopic mechanical properties is analyzed in combination with grain distribution and grain orientation. The results show that the numerical model not only reflects the impact of microstructure on macroscopic mechanical behavior but also suggests theoretical advice for practical production.

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Section: Simulation Results and Discussionmentioning

confidence: 99%

Microstructure characterization and crystal plastic finite element simulation of additive manufacturing 316 L stainless steel

Huang,

Zeng

2023

J. Phys.: Conf. Ser.

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“…It is further modified to accommodate the dual-phase alloys incorporating both hexagonal closed packed (HCP)  phase and body-centered cubic (BCC)  phase. Modeling parameters of the dual-phase Ti-6Al-4V are cited from references [19,20] and these parameters have been proved to be effective in our previous work [7,13].…”

Section: Fatigue Indicator Parametermentioning

confidence: 99%

“…Statistical analysis on experimental data of titanium alloys with the aforementioned structures demonstrated that bimodal Ti-6Al-4V exhibits a better fatigue performance compared with other microstructural features [6]. In addition, the complex evolution of fatigue deformation emerged with various distributions of lamellar structure, resulting in different performance of fatigue resistance [7]. However, with high cycle fatigue (HCF) tests on the bimodal structure and full lamellar [8], experimental results reveal that the full lamellar structure has better fatigue performance than the bimodal structure.…”

Section: Introductionmentioning

confidence: 99%

Crystal plasticity based modelling and high cycle fatigue life prediction for bi-lamellar Ti-6Al-4V

Zhao,

Li,

Tang

et al. 2024

J. Phys.: Conf. Ser.

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Microstructural defects and inhomogeneity of titanium alloys fabricated by additive manufacturing technology make their fatigue performance much more complicated, especially reflected in the dispersion of fatigue life. This work employs crystal plasticity finite element method (CPFEM) to predict high cycle fatigue (HCF) life of bi-lamellar Ti-6Al-4V alloy. We first propose a modified VT technique to build representative volume element (RVE) models highlighting lamellar microstructure and micro-defects. Subsequently, fatigue indicator parameter (FIP) is adopted to analyse fatigue deformation under cyclic loading. Finally, HCF life determined by critical fatigue indicator parameter is compared with experimental data collected from published literatures. The results demonstrate that our approach is able to reflect the dispersion of fatigue life and to predict HCF life of bi-lamellar Ti-6Al-4V in a satisfactory manner.

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“…40 In our previous work, we systematically investigated the combined effects of microstructure and defects in alloys such as dual-phase Ti-6Al-4V. 18,39,41,42 A polycrystalline model of equiaxed Ti-6Al-4V alloy was formulated within the framework of CPFEM, which quantified the combined influence of defect shape/orientation and microstructure on fatigue behavior, 18 while the microstructure is stipulated to be ideally equiaxed in the designated case, not to mention the variation in lamellar orientation and grain distribution. The following work [41][42][43] focuses primarily on the influence of lamellar grains on the fatigue behavior of bimodal Ti-6Al-4V.…”

Section: Introductionmentioning

confidence: 99%

“…18,39,41,42 A polycrystalline model of equiaxed Ti-6Al-4V alloy was formulated within the framework of CPFEM, which quantified the combined influence of defect shape/orientation and microstructure on fatigue behavior, 18 while the microstructure is stipulated to be ideally equiaxed in the designated case, not to mention the variation in lamellar orientation and grain distribution. The following work [41][42][43] focuses primarily on the influence of lamellar grains on the fatigue behavior of bimodal Ti-6Al-4V. In the framework of CPFEM, conventional Voronoi tessellation (VT) diagram method 18,[44][45][46] is often used to formulate RVE models with microstructural details of polycrystalline alloys.…”

Section: Introductionmentioning

confidence: 99%

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

Zhao,

Tang,

Ferro

et al. 2024

Fatigue Fract Eng Mat Struct

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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.

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Quantifying lamellar microstructural effect on the fatigue performance of bimodal Ti-6Al-4V with microdefect

Cited by 10 publications

References 58 publications

Microstructure characterization and crystal plastic finite element simulation of additive manufacturing 316 L stainless steel

Microstructure characterization and crystal plastic finite element simulation of additive manufacturing 316 L stainless steel

Crystal plasticity based modelling and high cycle fatigue life prediction for bi-lamellar Ti-6Al-4V

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

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