A multiscale coupled Monte Carlo model to characterize microstructure evolution during hot rolling of Mo-TRIP steel

Hore, S; Das, Suchandan K; Banerjee, Sriparna; Mukherjee, Shreya

doi:10.1016/j.actamat.2013.08.030

Cited by 19 publications

(4 citation statements)

References 32 publications

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“…With the present multiscale model, the use of GPUs along with the beneficial properties of the vertex model makes it possible to run large scale macroscopic simulations on an ordinary desktop computer. This is in contrast to many other models which rely on the use of clusters [28].…”

Section: Introductionmentioning

confidence: 86%

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Recrystallization and texture evolution during hot rolling of copper, studied by a multiscale model combining crystal plasticity and vertex models

Mellbin

Hallberg

Ristinmaa

2016

Modelling Simul. Mater. Sci. Eng.

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A multiscale modeling framework, combining a graph-based vertex model of microstructure evolution with a GPU-parallelized crystal plasticity model, was recently proposed by the authors. Considering hot rolling of copper, the full capabilities of the model are demonstrated in the present work. The polycrystal plasticity model captures the plastic response and the texture evolution during materials processing while the vertex model provides central features of grain structure evolution through dynamic recrystallization, such as nucleation and growth of individual crystals. The multiscale model makes it possible to obtain information regarding grain size and texture development throughout the workpiece, capturing the effects of recrystallization and heterogeneous microstructure evolution. Recognizing that recrystallization is a highly temperature dependent phenomenon, simulations are performed at different process temperatures. The results show that the proposed modeling framework is capable of simultaneously capturing central aspects of material behavior at both the meso- and macrolevel. Detailed investigation of the evolution of texture, grain size distribution and plastic deformation during the different processing conditions are performed, using the proposed model. The results show a strong texture development, but almost no recrystallization, for the lower of the investigated temperatures, while at higher temperatures an increased recrystallization is shown to weaken the development of a typical rolling texture. The simulations also show the influence of the shear deformation close to the rolling surface on both texture development and recrystallization.

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Section: Introductionmentioning

confidence: 86%

“…[25][26][27]) or the changes in the microstructure due to dynamic recrystallization (e.g. [28,29]), the proposed model is capable of capturing both.…”

Section: Introductionmentioning

confidence: 99%

Recrystallization and texture evolution during hot rolling of copper, studied by a multiscale model combining crystal plasticity and vertex models

Mellbin

Hallberg

Ristinmaa

2016

Modelling Simul. Mater. Sci. Eng.

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“…Different mechanismsaffect the microstructure evolution, and the deformation parameters (such as the strain, strain rate, temperature and pass interval time) have avital effect on the microstructure variation. Many models and methods have been applied tothe study of theDRX in the deformation process, such as empirical models [3], thephase field method (PF) [4,5], theMonte-Carlo method (MC) [6][7][8] and the cellular automaton method (CA) [9,10]. For the SRX process, Lin [11] and Salehi [12] established a neural network model to study the kinetics of SRX under non-isothermal conditions by empirical models.…”

Section: Introductionmentioning

confidence: 99%

Modeling of the static recrystallization for 7055 aluminum alloy by cellular automaton

Zhang

et al. 2017

Modelling Simul. Mater. Sci. Eng.

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In order to simulate the flow behavior and microstructure evolution during the pass interval period of the multi-pass deformation process, models of static recovery (SR) and static recrystallization (SRX) by the cellular automaton (CA) method for the 7055 aluminum alloy were established. Double-pass hot compression tests were conducted to acquire flow stress and microstructure variation during the pass interval period. With the basis of the material constants obtained from the compression tests, models of the SR, incubation period, nucleation rate and grain growth were fitted by least square method. A model of the grain topology and a statistical computation of the CA results were also introduced. The effects of the pass interval time, temperature, strain, strain rate and initial grain size on the microstructure variation for the SRX of the 7055 aluminum alloy were studied. The results show that a long pass interval time, large strain, high temperature and large strain rate are beneficial for finer grains during the pass interval period. The stable size of the static recrystallized grain is not concerned with the initial grain size, but mainly depends on the strain rate and temperature. The SRX plays a vital role in grain refinement, while the SR has no effect on the variation of microstructure morphology. Using flow stress and microstructure comparisons of the simulated and experimental CA results, the established CA models can accurately predict the flow stress and microstructure evolution during the pass interval period, and provide guidance for the selection of optimized parameters for the multi-pass deformation process.

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“…), then its neighbors will follow as well. Each cell consists of four main state variables, including the crystal orientation variable, the dislocation density variable, one order parameter variable and one fraction variable [8][9][10][11].…”

Section: Cellular Automata Modelmentioning

confidence: 99%

Influence of Strain Rate on Dynamic Recrystallization Behaviors of a Near-Titanium Alloy During Isothermal Hot-tensile Deformation:Experimental and Simulative Investigation.

Peng¹,

Hao²,

Cheng³

et al. 2016

Proceedings of the 2nd Annual International Conference on Advanced Material Engineering (AME 2016)

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Abstract. Dynamic recrystallization (DRX) behaviors of a near-α titanium alloy during isothermal hot-tensile tests were investigated with finite element simulation and electron backscattered diffraction (EBSD) test. The results show that the DRX behavior of the alloy is strongly sensitive to the strain rate, i.e., the average grain size increases with the decrease in strain rate, and the predicted average grain size of recrystallized grains with finite element method (FEM) based on cellular automata (CA) modeling are in good agreement with the experimental results by EBSD.

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A multiscale coupled Monte Carlo model to characterize microstructure evolution during hot rolling of Mo-TRIP steel

Cited by 19 publications

References 32 publications

Recrystallization and texture evolution during hot rolling of copper, studied by a multiscale model combining crystal plasticity and vertex models

Recrystallization and texture evolution during hot rolling of copper, studied by a multiscale model combining crystal plasticity and vertex models

Modeling of the static recrystallization for 7055 aluminum alloy by cellular automaton

Influence of Strain Rate on Dynamic Recrystallization Behaviors of a Near-Titanium Alloy During Isothermal Hot-tensile Deformation:Experimental and Simulative Investigation.

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