Simulation of the plastic response of Ti–6Al–4V thin sheet under different loading conditions using the viscoplastic self-consistent model

Galán-López, Jesús; Verleysen, Patricia

doi:10.1016/j.msea.2017.11.070

Cited by 16 publications

(12 citation statements)

References 41 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The strain rate sensitivity parameter (exponent n in Equation 11) can be deduced directly from the comparison of the tensile curves at different strains rates [42]. Considering that the virtual-work principle τdγ = σdε applies [43], then:…”

Section: Discussionmentioning

confidence: 99%

Use of the Correlation between Grain Size and Crystallographic Orientation in Crystal Plasticity Simulations: Application to AISI 420 Stainless Steel

Lopez

Garcia

2020

Crystals

Self Cite

View full text Add to dashboard Cite

Crystal plasticity models attempt to reproduce the complex deformation processes of polycrystalline metals based on a virtual representation of the real microstructure. When choosing this representation, a compromise must be made between level of detail at the local level and statistical significance of the aggregate properties, also taking into account the computational cost of each solution. In this work, the correlation between crystallographic orientation and grain size is considered in the definition of virtual microstructures for the simulation of the mechanical behavior of AISI 420 stainless steel (consisting of a ferrite matrix with large carbide precipitates), in order to improve the accuracy of the solution without increasing model complexity or computation time. Both full-field (DAMASK) and mean-field models (Visco Plastic Self Consistent (VPSC)) are used together in combination with experimental results to study the validity of the assumptions done in each of the models.

show abstract

Section: Discussionmentioning

confidence: 99%

Use of the Correlation between Grain Size and Crystallographic Orientation in Crystal Plasticity Simulations: Application to AISI 420 Stainless Steel

Lopez

Garcia

2020

Crystals

Self Cite

View full text Add to dashboard Cite

show abstract

“…where L g is given by (8). The axes lengths of the equivalent ellipsoid are given by the eigenvalues of the tensor F g F T g , while the eigenvectors indicate the orientation of these axes.…”

Section: Vpsc Formalismmentioning

confidence: 99%

“…Some works have extended the model to also take into account elastic deformation, in an elasto-viscoplastic scheme [2,3]. Other authors have focused on the usage of different hardening laws [4,5] or have incorporated into the model additional phenomena, such as strain rate hardening [6,7] and thermal softening [8]. It has also been proposed to modify the main VPSC algorithm, either to include the effect of intragranular fluctuations [9] or to use the model in conjunction with finite element analysis software [2,10].…”

Section: Introductionmentioning

confidence: 99%

Advanced Crystal Plasticity Modeling of Multi-Phase Steels: Work-Hardening, Strain Rate Sensitivity and Formability

et al. 2021

Self Cite

View full text Add to dashboard Cite

This work presents an advanced crystal plasticity model for the simulation of the mechanical behavior of multiphase advanced high-strength steels. The model is based on the Visco-Plastic Self-Consistent (VPSC) model and uses information about the material’s crystallographic texture and grain morphology together with a grain constitutive law. The law used here, based on the work of Pantleon, considers how dislocations are created and annihilated, as well as how they interact with obstacles such as grain boundaries and inclusions (carbides). Additionally, strain rate sensitivity is implemented using a phenomenological expression derived from literature data that does not require any fitting parameter. The model is applied to the study of two bainitic steels obtained by applying different heat treatments. After fitting the required parameters using tensile experiments in different directions at quasi-static and high strain rates, formability properties are determined using the model for the performance of virtual experiments: uniaxial tests are used to determine r-values and stress levels and biaxial tests are used for the calculation of yield surfaces and forming limit curves.

show abstract

“…(9) . The n parameter can be worked out directly from relative comparison of the tensile curves at different strains [31] . Considering the virtual-work principle τ…”

Section: Calibration Of Materials Parametersmentioning

confidence: 99%

Influence of M <sub>23</sub>C <sub>6</sub> Carbides on the Heterogeneous Strain Development in Annealed 420 Stainless Steel

et al. 2020

View full text Add to dashboard Cite

show abstract

Simulation of the plastic response of Ti–6Al–4V thin sheet under different loading conditions using the viscoplastic self-consistent model

Cited by 16 publications

References 41 publications

Use of the Correlation between Grain Size and Crystallographic Orientation in Crystal Plasticity Simulations: Application to AISI 420 Stainless Steel

Use of the Correlation between Grain Size and Crystallographic Orientation in Crystal Plasticity Simulations: Application to AISI 420 Stainless Steel

Advanced Crystal Plasticity Modeling of Multi-Phase Steels: Work-Hardening, Strain Rate Sensitivity and Formability

Influence of M <sub>23</sub>C <sub>6</sub> Carbides on the Heterogeneous Strain Development in Annealed 420 Stainless Steel

Contact Info

Product

Resources

About