Damage evolution and failure in a titanium alloy: Revealed by 3D in situ X-ray tomography

Luo, Xiangang; Suo, Tao; Dou, Qingbo; Ma, Chaoli; Zhou, Lian

doi:10.1016/j.jallcom.2021.161689

Cited by 9 publications

(2 citation statements)

References 55 publications

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“…The stress triaxiality can be computed using the Bridgman analytical model given in Equation ( 11) [63].…”

Section: Direct Calibration Of Damage Parameters At Reference Conditi...mentioning

confidence: 99%

A Combined Experimental and Numerical Calibration Approach for Modeling the Performance of Aerospace-Grade Titanium Alloy Products

Tuninetti,

Sepúlveda,

Beecher

et al. 2024

Aerospace

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Finite element modeling for designing and optimizing lightweight titanium aerospace components requires advanced simulation tools with adequate material modeling. In this sense, a hybrid strategy is proposed in this work to identify the parameters of the Johnson–Cook plasticity and damage laws using a combined direct-inverse method. A direct calibration method for plasticity law is applied based on the literature-reported data of strain-stress curves from experimental tensile tests at different temperatures and strain rates. The triaxiliaty-dependent fracture parameters of the Johnson–Cook damage law at reference conditions of strain rate and temperature (d1, d2, and d3) are calibrated with the direct method based on new data of experimental evolution of computed average fracture strain with the average stress triaxiality. The validation is performed with numerical results from an accurate micromechanics-based Ti64 model. The inverse calibration method is used to determine the strain rate and temperature-dependent damage parameters (d4 and d5) through large strain simulations of uniaxial tensile tests. The numerical results, including average strain and necking profile at fracture, are then utilized to calculate stress triaxiality by the Bridgman criterion for adjusting parameters d4 and d5. The calibrated model yields a 2.1% error for plasticity and 3.4% for fracture predictions. The experimental and simulated load-bearing capacity using the micromechanics damage model differed by only 1%. This demonstrates that the SC11–TNT model of Ti64 is reliable for identifying the Johnson–Cook damage law through the accurate use of inverse methods. The hybrid calibration strategy demonstrates the potential capability of the identified Johnson–Cook model to accurately predict the design load-carrying capacity of Ti64 aerospace components under different deformation rates and temperatures while accounting for material damage effects.

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“…The stress triaxiality can be computed using the Bridgman analytical model given in Equation ( 11) [63].…”

Section: Direct Calibration Of Damage Parameters At Reference Conditi...mentioning

confidence: 99%

A Combined Experimental and Numerical Calibration Approach for Modeling the Performance of Aerospace-Grade Titanium Alloy Products

Tuninetti,

Sepúlveda,

Beecher

et al. 2024

Aerospace

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“…Through decades of extensive investigations, a series of approaches, e.g., metallurgical analysis, 11 microscopic observations, 12–15 X‐ray microtomography, 16–18 damage monitoring, 19 and finite element (FE) trial‐and‐error, 20,21 have been introduced to determine the GTN parameters. However, the cell model method is still considered to be the most effective method for studying the two constitutive parameters ( q 1 and q 2 ) in GTN model 22–29 .…”

Section: Introductionmentioning

confidence: 99%

Investigating effective yield surface of porous metals exhibit different hardening behaviors by cell models with randomly distributed spherical voids

Zhang

Lü

Shang

et al. 2023

Fatigue Fract Eng Mat Struct

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This study focuses on the development of effective yield surface of porous metals, which is characterized with the two constitutive parameters (i.e., q1 and q2) in the widely used Gurson–Tvergaard–Needleman (GTN) model. It was found that the influence of q1 and q2 on the mechanical responses may be masked by adjusting the two failure parameters (fc and fF), yielding a set of GTN parameters deviated from the actual situation and leading to the errors in failure predictions. Therefore, the two constitutive parameters should be carefully calibrated according to the hardening behavior of matrix. Further investigations on the void density and distributions proved that cubic cells containing 100 randomly distributed non‐intersecting spherical voids are sufficient in characterizing the homogenization. On this basis, effective yield surface of porous metals with a wide range of void volume fractions (from 0.4% to 20%) was investigated, and a correlation between the constitutive parameters and the power‐law hardening behavior of matrix was established. Finally, experimental verifications were conducted on low alloy steel SA508, indicating the q1 and q2 from this study can yield more accurate mechanical response predictions then the previously suggested values.

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Damage mechanisms of a metastable β-titanium alloy with bimodal microstructure revealed by void growth models using synchrotron X-ray microtomography

Gu,

Adrien,

Maire

et al. 2024

Rare Met.

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Damage evolution and failure in a titanium alloy: Revealed by 3D in situ X-ray tomography

Cited by 9 publications

References 55 publications

A Combined Experimental and Numerical Calibration Approach for Modeling the Performance of Aerospace-Grade Titanium Alloy Products

A Combined Experimental and Numerical Calibration Approach for Modeling the Performance of Aerospace-Grade Titanium Alloy Products

Investigating effective yield surface of porous metals exhibit different hardening behaviors by cell models with randomly distributed spherical voids

Damage mechanisms of a metastable β-titanium alloy with bimodal microstructure revealed by void growth models using synchrotron X-ray microtomography

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