Modeling cyclic deformation of inconel 718 superalloy by means of crystal plasticity and computational homogenization

Cruzado, A.; LLorca, J.; Segurado, J.

doi:10.1016/j.ijsolstr.2017.06.014

Cited by 100 publications

(92 citation statements)

References 41 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The crystal plasticity model recently developed by A. Cruzado, J. LLorca and J. Segurado [9] has been used as constitutive equation for the grains in this study. The model is a phenomenologic cyclic plasticity model and is able to account for the Bauschinger effect, ratcheting and cyclic softening characteristic of many FCC metallic alloys, including polycrystalline superalloys.…”

Section: Crystal Plasticity Modelmentioning

confidence: 99%

“…The model is a phenomenologic cyclic plasticity model and is able to account for the Bauschinger effect, ratcheting and cyclic softening characteristic of many FCC metallic alloys, including polycrystalline superalloys. The model description and implementation is described in detail in [9] but the main features are briefly reviewed here for completeness. The crystal plasticity model is elasto-visco-plastic and assumes that plastic deformation occurs by dislocation glide along the 12 octaedrical slip systems.…”

Section: Crystal Plasticity Modelmentioning

confidence: 99%

“…The benchmark used for the comparison is the cyclic deformation of a polycrystalline FCC alloy following the constitutive model described in the previous section. The parameters of the crystal plasticity model used for the study are given in Table 1 (see [9] for details of the model) and are typical of a polycrystalline superalloy with Bauschinger effect and cyclic softening, such as Inconel 718 alloy. The microstructure of the material is represented using a cubic RVE and the grain geometry is generated as a weighted Voronoi tessellation using the open source code Neper [32].…”

Section: Materials and Test Descriptionmentioning

confidence: 99%

“…The local values of the fatigue indicator parameters are not adequate to correlate the fatigue life of a given microstructure due discretisation errors. In order to reduce this effect, fatigue indicators are averaged in some regions to produce non-local measures, which are more adequate to estimate the tendency to nucleate a crack [14,9]. Therefore, it is expected that the small differences found between the FEM and FFT FIP microfields, after averaging, become much smaller.…”

Section: Fatigue Life Estimationmentioning

confidence: 99%

See 3 more Smart Citations

On the accuracy of spectral solvers for micromechanics based fatigue modeling

Lucarini

Segurado

2018

Comput Mech

Self Cite

View full text Add to dashboard Cite

A framework based on FFT is proposed for micromechanical fatigue modeling of polycrystals as alternative to the Finite Element method (FEM). The variational FFT approach [1, 2] is used with a crystal plasticity model for the cyclic behavior of the grains introduced through a FEM material subroutine, in particular an Abaqus umat. The framework also includes an alternative projection operator based on discrete differentiation to improve the microfield fidelity allowing to include second phases.

show abstract

Section: Crystal Plasticity Modelmentioning

confidence: 99%

Section: Crystal Plasticity Modelmentioning

confidence: 99%

Section: Materials and Test Descriptionmentioning

confidence: 99%

Section: Fatigue Life Estimationmentioning

confidence: 99%

See 2 more Smart Citations

On the accuracy of spectral solvers for micromechanics based fatigue modeling

Lucarini

Segurado

2018

Comput Mech

Self Cite

View full text Add to dashboard Cite

show abstract

“…The use of CP models within homogenization frameworks allows to simulate the response of a full polycrystal including texture evolution by explicitly considering grain orientation and shape changes in the micro-scale (see [8] for a review). Such type of models, due to their verified predictive capacity, have been used in the prediction of the mechanical response under monotonic loading [9,10,11,12,13,14,15] , cyclic loading [16,17,18] and fatigue response [19,20,21,22,23] or to simulate forming processes such as rolling [24,25,26,27].…”

Section: Introductionmentioning

confidence: 99%

Development of a thermo-mechanically coupled crystal plasticity modeling framework: Application to polycrystalline homogenization

Romero

Segurado

2019

International Journal of Plasticity

View full text Add to dashboard Cite

Accurate predictions of thermo-mechanically coupled process in metals can lead to a reduction of cost and an increase of productivity in manufacturing processes such as forming. For modeling these coupled processes with the finite element method, accurate descriptions of both the mechanical and the thermal responses of the material, as well as their interaction, are needed. Conventional material modeling employs empirical macroscopic constitutive relations but does not account for the actual thermo-mechanical mechanisms occurring at the microscopic level. However, the consideration of the latter might be crucial to obtain accurate predictions and a complete understanding of the underlying physics.In this work we describe a fully coupled implicit thermo-mechanical framework for crystal plasticity simulations. This framework includes thermal strains, temperature dependency of the crystal behavior and heat generation by dissipation due to plastic slip and allows the use of large deformation steps thanks to the implicit integration of the governing equations. Its use within computational homogenization simulations allows to bridge the plastic deformation and temperature gradients at the macroscopic scale with the microscopic slip at the grain scale. A series of numerical examples are presented to validate the approach.

show abstract