Monte Carlo simulation of primary recrystallization and annealing twinning

Wang, W.; Helbert, Anne‐Laure; Brisset, François; Mathon, Marie‐Hélène; Baudin, Thierry

doi:10.1016/j.actamat.2014.08.032

Cited by 14 publications

(9 citation statements)

References 36 publications

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“…As is well established in literature, in low stacking fault energy stainless steels, annealing twins developed in whole structure of austenite phase during cold rolling and annealing as can be seen in current study in experimental alloy and processed specimens (Figure , 4). Hence, many potential nucleation sites are existed due to existence of higher volume of twin boundaries . The restricted growth of recrystallized grains which was shown in distinct banding features in microstructure (Figure ) is a direct consequence of this site‐saturation phenomena and following impingement of growing grains will be occurred soon after their nucleation.…”

Section: Resultsmentioning

confidence: 99%

Microstructural Evolution and Texture Analysis in a Thermomechanically Processed Low SFE Super‐Austenitic Steel (Alloy‐28)

2018

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Microstructural evolution and texture analysis after 80% cold rolling and subsequent annealing in the temperature range of 750-1050 C is surveyed in Alloy-28. This is precisely studied through electron back scattered diffraction and also is declared through elaborating the hardness map. The occurrence of partially recrystallization is clearly evident in the microstructure which was treated 850 C annealing for 30 min. The recrystallization process is completed at 950 C even after 3 min, but in an inhomogeneous manner, that is, coexistence of relatively large and fine recrystallized grains. This microstructure contains a high volume of special grain boundaries ended to the complete and homogenous recrystallization at 1050 C, where further grain growth is occurred with increasing time. Texture analysis shows the retaining of Goss texture after annealing at 850 C and this component is introduced as the main reason for retarding recrystallization and, therefore, creation of inhomogeneous microstructure. Finally, the specimens processed at 1050 C indicate the α-fiber texture due to occurrence of grain growth. The mechanical properties improvement is mainly attributed to the development of S component and also formation of high fraction of annealing twin. Although, predominant the appearance of Goss texture and grain growth are also known as the main reason for deteriorating strength.

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Section: Resultsmentioning

confidence: 99%

Microstructural Evolution and Texture Analysis in a Thermomechanically Processed Low SFE Super‐Austenitic Steel (Alloy‐28)

2018

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“…For this study, grains and sub-grains are delimited by interfaces between two pixels disoriented for more than 10 • and 2 • respectively (these values are generally dependent of the considered material). The sub-routine used to compute this misorientation comes from the works of Wang et al [37].…”

Section: Monte Carlo Methodsmentioning

confidence: 99%

Probabilistic and deterministic full field approaches to simulate recrystallization in ODS steels

Villaret

Hary

Carlan

et al. 2020

Computational Materials Science

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Mechanical and functional properties of Oxide Dispersion Strengthened (ODS) ferritic/ martensitic steels are strongly related to their microstructures. Thus, numerical modeling of microstructure evolution during ODS forming is of prime importance. In this work, two well-known full field methodologies dedicated to recrystallization modeling, the level-set and the Monte Carlo methods, are applied, discussed and compared to experimental data in their ability to describe properly recrystallization for ODS steels.

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“…A particular numerical treatment was proposed in [35] to avoid kinematic incompatibilities after solving the convective-diffusive equations (6). The method consists in removing vacuum regions appearing at multiple junctions after each time increment by correcting the GLS functions as follows:…”

Section: Level Set Description Of the Polycrystalsmentioning

confidence: 99%

“…Numerical simulations can contribute to the better description of static, dynamic and postdynamic recrystallization, grain growth and Smith-Zener pinning phenomenon [1]. In a full field context, they can be performed using probabilistic Monte Carlo Potts [2][3][4][5][6], Celullar Automata [7][8][9], deterministic phase field [10][11][12], vertex [13,14] or level set (LS) [15][16][17][18][19][20][21][22][23][24][25][26] models. These numerical methods are currently used and developed by numerous researchers [27] and regularly compared for particular metallurgical mechanisms [13,19].…”

Section: Introductionmentioning

confidence: 99%

“…Results of simulations without averaging procedure using the Monte Carlo Potts model [3][4][5][6] or Celullar Automata [7][8][9] In the present work, the effect of stored energy heterogeneity was assessed at the intragranular scale by considering the stored energy per each interface (GB) of a given grain. The energies on one side of each GBs and on its other side can differ due to the heterogeneity of the original stored energy field, as provided by crystal plasticity FE computations [26,32], thereby establishing an energy gradient which contributes to the GBs motion.…”

Section: Introductionmentioning

confidence: 99%

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Full field modeling of recrystallization: Effect of intragranular strain gradients on grain boundary shape and kinetics

Ilin

Bozzolo

Toulorge

et al. 2018

Computational Materials Science

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The effect of stored energy field heterogeneity on the microstructure evolution during static recrystallization (SRX) was assessed by performing three dimensional (3D) full field simulations. These simulations were performed by using the Level set (LS) method in a finite element (FE) framework with unstructured tetrahedral FE mesh. An extension of classical LS-FE for SRX was developed to account for average stored energies in zones adjacent to grain boundaries (GBs) in each grain. Annihilation of dislocations by a passing GB was taken into account. The results of 3D simulations were analyzed to compare the "per interface" LS model to the usual "per grain" LS method (with averaging stored energy per grain). Recrystallization is faster at the beginning of the heat treatment when using the "per interface" model. The analysis of the evolution of grain volume and grain surface scattering reveals that the "per interface" approach results in complex shapes of grains which are closer to those observed in experiments. Local simulations for few grains with refined FE mesh were also performed to study the effect of stored energy heterogeneity along interfaces, and even higher complexity of grain topology was observed compared to the results of "per interface" computations.

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Monte Carlo simulation of primary recrystallization and annealing twinning

Cited by 14 publications

References 36 publications

Microstructural Evolution and Texture Analysis in a Thermomechanically Processed Low SFE Super‐Austenitic Steel (Alloy‐28)

Microstructural Evolution and Texture Analysis in a Thermomechanically Processed Low SFE Super‐Austenitic Steel (Alloy‐28)

Probabilistic and deterministic full field approaches to simulate recrystallization in ODS steels

Full field modeling of recrystallization: Effect of intragranular strain gradients on grain boundary shape and kinetics

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