Simulating the deformation and recrystallization of aluminum bicrystals

Radhakrishnan, B.; Sarma, G.B.

doi:10.1007/s11837-004-0074-x

Cited by 13 publications

(7 citation statements)

References 33 publications

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“…This model has been used to simulate annealing phenomena such as grain growth in single-and two-phase polycrystalline materials [5][6][7], directional grain growth [8], particle pinning [9], static recrystallization [10], dynamic recrystallization [11], microstructure evolution in the presence of anisotropy [12], abnormal grain growth [13], nanocrystalline grain growth [14], and particle stimulated nucleation dominated recrystallization [15]. The MC Potts method has also demonstrated its applicability to modeling recrystallization in aluminum alloys [16].…”

Section: Introductionmentioning

confidence: 99%

3D microstructural evolution of primary recrystallization and grain growth in cold rolled single-phase aluminum alloys

Adam

Zöllner

Field

2018

Modelling Simul. Mater. Sci. Eng.

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Modeling the microstructural evolution during recrystallization is a powerful tool for the profound understanding of alloy behavior and for use in optimizing engineering properties through annealing. In particular, the mechanical properties of metallic alloys are highly dependent upon evolved microstructure and texture from the softening process. In the present work, a Monte Carlo (MC) Potts model was used to model the primary recrystallization and grain growth in cold rolled single-phase Al alloy. The microstructural representation of two kinds of dislocation densities, statistically stored dislocations and geometrically necessary dislocations were quantified based on the ViscoPlastic Fast Fourier transform method. This representation was then introduced into the MC Potts model to identify the favorable sites for nucleation where orientation gradients and entanglements of dislocations are high. Additionally, in situ observations of non-isothermal microstructure evolution for singlephase aluminum alloy 1100 were made to validate the simulation. The influence of the texture inhomogeneity is analyzed from a theoretical point of view using an orientation distribution function for deformed and evolved texture.

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Section: Introductionmentioning

confidence: 99%

3D microstructural evolution of primary recrystallization and grain growth in cold rolled single-phase aluminum alloys

Adam

Zöllner

Field

2018

Modelling Simul. Mater. Sci. Eng.

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“…Radhakrishnan et al . and other researchers applied this approach to model the cold or hot deformation and further annealing of aluminum connecting finite element and Monte Carlo methods. Holm et al .…”

Section: Introductionmentioning

confidence: 99%

Coupling of Crystal Plasticity Finite Element and Phase Field Methods for the Prediction of SRX Kinetics after Hot Working

Güvenç

Bambach�

2014

steel research int.

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The conventional approach to model static recrystallization (SRX) kinetics is to use the wellknown Kolmogorov-Johnson-Mehl-Avrami (KJMA) equation. However, the validity of KJMA kinetics depends on whether the real recrystallization process follows the assumptions made in the derivation of the KJMA kinetics, which are a random distribution of nucleation sites, isotropic growth and a constant growth velocity. When these assumptions are violated the KJMA kinetics loose their physical meaning and turn into an empirical formula with limited predictive capability. In such cases, phase field (PF) method can be an alternative to the KJMA model, since it is based on irreversible thermodynamics. An effective strategy to apply the PF method to static recrystallization problems is coupling it to a deformation model though which the prior deformation process is simulated. For that purpose crystal plasticity finite element method (CPFEM) can be employed. In this work, an example of a weak coupling strategy was applied to a steel grade of commercial interest (X60Mn23 TWIP steel) for which KJMA equation is invalid. Deformation of a Voronoi type representative volume element was modeled using a Crystal plasticity finite element formulation after determining the material parameters of a strain hardening model from macroscopic experiments. Afterwards, the deformed structure was transferred on to a finite difference grid with a dedicated mapping scheme, which was then used as input for phase field simulation. Finally, the simulation results were compared with the results of stress relaxation tests. It was found that although the grain morphology of the simulation differed from the experimental results, the coupled simulation strategy was able to mimic the main features of the static recrystallization (SRX) kinetics.

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“…One is a grain growth model driven by the stored energy or elastic energy of dislocations [5][6][7]. The other model is the subgrain growth model, where the SRX simulation starts from the deformation microstructure predicted from the results of the CP-FE simulation [8][9][10].…”

Section: Introductionmentioning

confidence: 99%

“…Therefore, the development of nucleation criteria for recrystallized grains is an important challenge. Radhakrishnan et al presented an SRX simulation model coupling the CP-FE method and Monte Carlo (MC) technique [8][9][10]. Here, the simulation of discontinuous subgrain growth is performed using the deformation microstructure predicted from the results of the CP-FE simulation.…”

Section: Introductionmentioning

confidence: 99%

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Static recrystallization simulations starting from predicted deformation microstructure by coupling multi-phase-field method and finite element method based on crystal plasticity

Takaki

Tomita

2010

International Journal of Mechanical Sciences

105

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Simulating the deformation and recrystallization of aluminum bicrystals

Cited by 13 publications

References 33 publications

3D microstructural evolution of primary recrystallization and grain growth in cold rolled single-phase aluminum alloys

3D microstructural evolution of primary recrystallization and grain growth in cold rolled single-phase aluminum alloys

Coupling of Crystal Plasticity Finite Element and Phase Field Methods for the Prediction of SRX Kinetics after Hot Working

Static recrystallization simulations starting from predicted deformation microstructure by coupling multi-phase-field method and finite element method based on crystal plasticity

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