A CPFEM based study to understand the void growth in high strength dual-phase titanium alloy (Ti-10V-2Fe-3Al)

Asim, Umair Bin; Siddiq, M.; Kartal, Mehmet E.

doi:10.1016/j.ijplas.2019.07.002

Cited by 83 publications

(52 citation statements)

References 114 publications

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“…[18] In the literature, CP models are often extended to include the effects of pore growth and coalescence. [19][20][21] In the works of Asim et al, [22,23] they have investigated the void growth in a dual-phase Ti alloy at the interface of dissimilar α-β crystals. Chen et al [24] have analyzed the void growth on grain boundaries in Ni-based superalloys.…”

Section: Introductionmentioning

confidence: 99%

Influence of Pore Characteristics on Anisotropic Mechanical Behavior of Laser Powder Bed Fusion–Manufactured Metal by Micromechanical Modeling

et al. 2020

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In recent times, additive manufacturing (AM) has proven to be an indispensable technique for processing complex 3D parts because of the versatility and ease of fabrication it offers. However, the generated microstructures show a high degree of complexity due to the complex solidification process of the melt pool. In this study, micromechanical modeling is applied to gain deeper insight into the influence of defects on plasticity and damage of 316L stainless steel specimens produced by a laser powder bed fusion (L‐PBF) process. With the statistical data obtained from microstructure characterization, the complex AM microstructures are modeled by a synthetic microstructure generation tool. A damage model in combination with an element deletion technique is implemented into a nonlocal crystal plasticity model to describe anisotropic mechanical behavior, including damage evolution. The element deletion technique is applied to effectively model the growth and coalescence of microstructural pores as described by a damage parameter. Numerical simulations show that the shape of the pores not only affects the yielding and hardening behavior but also influences the porosity evolution itself.

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Section: Introductionmentioning

confidence: 99%

Influence of Pore Characteristics on Anisotropic Mechanical Behavior of Laser Powder Bed Fusion–Manufactured Metal by Micromechanical Modeling

et al. 2020

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“…The formability of titanium alloys during non-superplastic hot deformation is limited. The damage behaviour is governed by the mechanisms of void nucleation, growth and coalescence, and the voids tend to nucleate on the phase boundaries for the two-phase titanium alloys [ 15 ]. The microscopic crack nucleation point can be predicted by the distribution of the microscopic stress, strain and dislocation density [ 16 ].…”

Section: Introductionmentioning

confidence: 99%

Analysing the Interaction between Microscopic Deformation, Microstructure and Void Evolution of Near-α Titanium Alloys during Non-Superplastic Hot Deformation by an Integrated Crystal Plasticity Finite Element Model

Zhao

Wang

et al. 2021

Materials

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High-efficiency and low-cost hot forming technologies for titanium alloys have been developed for producing complex-shaped, thin-walled tubular components under non-superplastic forming conditions. Under these forming conditions, there exist complex and highly integrated material evolution processes including microscopic heterogeneous deformation, microstructure evolution and damage behaviour. This paper presents an integrated crystal plasticity finite element model of near-α titanium alloys during non-superplastic hot deformation conditions considering grain boundary sliding (GBS), dynamic recrystallisation (DRX), as well as void evolution. The polycrystalline model of a near-α TA15 titanium alloy was established, containing α phase, β phase and grain boundary (GB) regions, in which the GB region was a visualised representation of GBS. The quantitative strength ratio between the GB regions and α phase was calculated according to the Zener–Holloman parameter Z and grain size, which determined the microscopic deformation behaviour. There were found to be two high microscopic strain regions in the α phase: intragranular deformation bands through the most favourable slipping and near the GBs through multiple slipping, which promoted continuous and discontinuous DRX, respectively. With the decrease in parameter Z or grain size, the activated dislocations accommodating GBS were found to no longer pile up inside the grain, but instead travel across the grain interior. Finally, methods to improve the macroscopic plastic formability were proposed for the difficult-to-form titanium alloys experiencing non-superplastic hot deformation.

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“…Some of these challenges include, formulation of complex material constitutive models (for e.g. (19,20,29,(21)(22)(23)(24)(25)(26)(27)(28) and references therein) which incorporate underlying physical mechanisms, and identification of a large number of material parameters (19,24,37,38,27,(30)(31)(32)(33)(34)(35)(36). Presently, no unified material constitutive model exists which incorporates all physical mechanisms and their interactions.…”

Section: Introductionmentioning

confidence: 99%

“…17–27 and references therein) which incorporate underlying physical mechanisms, and identification of a large number of material parameters. 17,23,26,28,29,30–36 Presently, no unified material constitutive model exists which incorporates all physical mechanisms and their interactions. This is due to the complexities associated with the active mechanisms and their interactions.…”

Section: Introductionmentioning

confidence: 99%

Data-driven finite element method: Theory and applications

Siddiq

2020

Proceedings of the Institution of Mechanical Engineers, Part C:

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A data-driven finite element method that accounts for more than two material state variables has been presented in this work. Data-driven finite element method framework can account for multiple state variables, viz. stresses, strains, strain rates, failure stress, material degradation, and anisotropy which has not been used before. Data-driven finite element method is implemented in the context of linear elements of a nonlinear elastic solid. The presented framework can be used for a variety of applications by directly using experimental data. This has been demonstrated by using the data-driven finite element method framework to predict deformation, degradation, and failure in diverse applications including nanomaterials and biomaterials for the first time. Data-driven finite element method capability of predicting unknown and unstructured dataset has also been shown by using Delaunay triangulation strategy for scattered data having no structure or order. The framework is able to capture the strain rate-dependent deformation, material anisotropy, material degradation, and failure which has not been presented in the past. The predicted results show a very good agreement between data set taken from literature and data-driven finite element method predictions without requiring to formulate complex constitutive models and avoiding tedious material parameter identification.

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A CPFEM based study to understand the void growth in high strength dual-phase titanium alloy (Ti-10V-2Fe-3Al)

Cited by 83 publications

References 114 publications

Influence of Pore Characteristics on Anisotropic Mechanical Behavior of Laser Powder Bed Fusion–Manufactured Metal by Micromechanical Modeling

Influence of Pore Characteristics on Anisotropic Mechanical Behavior of Laser Powder Bed Fusion–Manufactured Metal by Micromechanical Modeling

Analysing the Interaction between Microscopic Deformation, Microstructure and Void Evolution of Near-α Titanium Alloys during Non-Superplastic Hot Deformation by an Integrated Crystal Plasticity Finite Element Model

Data-driven finite element method: Theory and applications

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