Strain-Rate-Dependent Tensile Response of Ti–5Al–2.5Sn Alloy

Zhang, Bin; Wang, Jin; Wang, Yang; Wang, Yu; Li, Ziran

doi:10.3390/ma12040659

Cited by 12 publications

(16 citation statements)

References 39 publications

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“…3 The strain to fracture versus logarithm of strain rates for magnesium and titanium alloys with a unimodal (curve 2, 3) and a bimodal grain sizes distribution (curve 1, the concentration of coarse grains is 70%) submicron grains in the alloy, the strain to failure under tension decreases nonlinearly. The simulation results agree with the available experimental data [11,[45][46][47][48][49][50].…”

Section: Resultssupporting

confidence: 85%

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Failure Mechanisms of Alloys with a Bimodal Graine Size Distribution

Skripnyak

2020

Springer Tracts in Mechanical Engineering

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A multi-scale computational approach was used for the investigation of a high strain rate deformation and fracture of magnesium and titanium alloys with a bimodal distribution of grain sizes under dynamic loading. The processes of inelastic deformation and damage of titanium alloys were investigated at the mesoscale level by the numerical simulation method. It was shown that localization of plastic deformation under tension at high strain rates depends on grain size distribution. The critical fracture stress of alloys depends on relative volumes of coarse grains in representative volume. Microcracks nucleation at quasi-static and dynamic loading is associated with strain localization in ultra-fine grained partial volumes. Microcracks arise in the vicinity of coarse and ultrafine grains boundaries. It is revealed that the occurrence of a bimodal grain size distributions causes increased ductility, but decreased tensile strength of UFG alloys. The increase in fine precipitation concentration results not only strengthening but also an increase in ductility of UFG alloys with bimodal grain size distribution.

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Section: Resultssupporting

confidence: 85%

“…Experimental data reported by Ulacia for coarse-grained Mg-3Al-1Zn alloy are marked by filled square symbols [11]. The experimental data for the Ti-5Al-2.5Sn alloy are shown by filled triangular symbols [32,47].…”

Section: Resultsmentioning

confidence: 99%

Failure Mechanisms of Alloys with a Bimodal Graine Size Distribution

Skripnyak

2020

Springer Tracts in Mechanical Engineering

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“…It is easy to understand that the fine grain can more efficiently hinder the dislocation movement and thus owe a better strengthening effect. It has been disclosed that k HP depends on the steel composition [26,27]. Nevertheless, the microstructure distribution, phase constitution and grain boundary characteristic (fraction and distribution of defects and grain boundary misorientation) also contribute to the k HP .…”

Section: Microstructure Characteristicsmentioning

confidence: 99%

Effect of Material Anisotropy on the Mechanical Response of Automotive Steel under High Strain Rates

et al. 2022

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A constitutive model for automobile steel with high elongation needs to be established to predict the dynamic deformation behavior under hydroforming applications. In order to clarify the confusing discrepancy in the essential parameters of the classical Cowper-Symonds (C-S) model, a series of automobile structural steels have been employed to investigate the strain rate response by conducting tensile dynamic deformation. Metallographic microscopy and orientation distribution functions were used to characterize the microstructure and texture components of the steels. The microstructure observation discloses that the matrix of all steels is mainly of ferrite and the texture constituent provides a framework for steel to withstand external deformation. The C-S model can be applied to simulate the dynamic deformation with satisfied expectations. It is concluded that the essential parameters D and p in the model show a specific relationship with the steel grade, and the parameter D is proportional to the steel grade and related to material anisotropy, while the parameter p is inversely proportional to the steel grade and has close links with the grain boundary characteristics.

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“…Since the object studied by linear elastic fracture mechanics is a sharp crack, 20,21 the crack tip of the 42CrMo steel CT specimen used to determine the crack tip stress intensity factor Δ K must be sharp. Therefore, before the fatigue crack propagation experiment is officially loaded, the sample needs to be pre-cracked.…”

Section: Fatigue Crack Propagation Experimentsmentioning

confidence: 99%

Fatigue crack propagation experiment and numerical simulation of 42CrMo steel

Dong

Wei

et al. 2020

Proceedings of the Institution of Mechanical Engineers, Part C:

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42CrMo steel is widely used in ultrahigh-strength structures such as low-speed heavy-duty gears. Mastering the fatigue crack propagation law has important significance for predicting structural fatigue life. Firstly, the fatigue crack propagation experiment is used to obtain the upper and lower thresholds value of type I fatigue crack propagation of 42CrMo steel compact tensile specimen under the alternating load of stress ratio R = 0.1. The Paris formula describing the relationship between the fatigue crack propagation rate and the crack tip stress intensity factor between the upper and lower thresholds value is obtained. Scanning electron microscopy was used to observe the microscopic features of different stages of fatigue fracture. The results show that the twin boundary can provide a place for crack initiation; the defects in the material can promote the initiation and extension of fatigue cracks. The fatigue crack propagation of 42CrMo steel compact tensile specimens was numerically simulated by the finite element method. The relationship between the crack tip stress intensity factor and the crack length was obtained. The analysis results show that the crack tip stress intensity factor calculated by the plane finite element method differs slightly from the experimental results during the stable extension stage. After correction, the correlation coefficient between the numerical simulation correction value and the crack tip stress intensity factor value obtained by the experiment is 0.9926. Finally, the fatigue crack propagation rate corresponding to the crack tip stress intensity factor in the finite element results is calculated by the Paris formula and briefly analyzed. Compared with the experimental results, it shows that the numerical simulation is consistent with it, indicating the accuracy of the numerical simulation method, which can effectively predict the initiation and propagation of fatigue cracks in 42CrMo steel compact tensile specimens.

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Strain-Rate-Dependent Tensile Response of Ti–5Al–2.5Sn Alloy

Cited by 12 publications

References 39 publications

Failure Mechanisms of Alloys with a Bimodal Graine Size Distribution

Failure Mechanisms of Alloys with a Bimodal Graine Size Distribution

Effect of Material Anisotropy on the Mechanical Response of Automotive Steel under High Strain Rates

Fatigue crack propagation experiment and numerical simulation of 42CrMo steel

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