A cellular operator model for the simulation of static recrystallization

Mukhopadhyay, P.; Loeck, M.; Gottstein, Günter

doi:10.1016/j.actamat.2006.08.045

Cited by 74 publications

(67 citation statements)

References 29 publications

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“…Even accounting for shape differences CA grains may give higher interfacial areas per unit of volume. Mukhopadhyay et al 18 proposed in a recent work a method to make the interface of the CA grain smooth. It is doubtful that their method fully corrected for shape differences between CA and real polyhedral grains.…”

Section: Discussionmentioning

confidence: 99%

“…Among the wide range of simulation techniques now available, an especially convenient simulation technique applicable to recrystallization is that of CA, as shown in the pioneering work of Hesselbarth and Göbel 16 . Therefore, it is not surprising that CA is the choice of many researchers simulating recrystallization, including Gottstein 17,18 and Raabe 19,20 and many others [21][22][23][24][25][26] . We too have published a series of papers using CA simulations 15,[27][28][29][30][31] .…”

Section: Introductionmentioning

confidence: 99%

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Simulation of recrystallization in iron single crystals

2008

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Recrystallization of an iron single crystal was reported in detail by Vandermeer and Rath (V&R). We present predictions of recrystallization based on cellular automata (CA) simulations, and compare them with the data and analysis from V&R's study. Agreement is found between our CA simulations and V&R's results, provided that the CA simulations were carried out using a sufficient dynamic range for time, precision spatial dimensionalization, and accommodation of grain shape effects inherent in CA techniques.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Simulation of recrystallization in iron single crystals

2008

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“…Reviews of cellular automata in materials science were published by Raabe 19) in 2002 and by Janssens 20) in 2010. Mukhopadhyay et al 21) simulated static recrystallization accounting different types of nucleation with consideration of dislocation density, temperature and misorientaion on the mobility of a grain boundary.…”

Section: Recrystallizationmentioning

confidence: 99%

Simulation of Microstructure Evolution during Shape Rolling with the Use of Frontal Cellular Automata

Svyetlichnyy

2012

ISIJ Int.

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The objective of the paper is an application of the model of the microstructure evolution based on three-dimensional cellular automata (CA) for hot shape rolling simulation. A short description of frontal cellular automata (FCA) is presented. The model contains two parts: the deformation and the microstructure evolution. The CA cells do not remain as undistorted cubes, but they are deformed according to the strain tensor. The independence of the grain growing from the shape and the sizes of the cell is ensured by the so-called "virtual front tracking". The microstructural part of the model simulates two phenomena: the nucleation and the growth of nuclei. There are three issues considered in the paper: the creation of the initial microstructure, the recrystallization and the phase transformation. When recrystallization is simulated, the nucleation and the grain boundary migration depend on the deformation parameters such as: the temperature, the strain, the strain rate, the dislocation density and the crystallographic orientation. The nucleation during the phase transformation is a function of the cooling rate and the final microstructure. These phenomena along with the deformation can be modeled over a wide range of multi-stage deformation processes. The process of shape rolling is chosen as an example. The data needed for the FCA calculations is received from the modeling by the finite element method. The results of the simulation of the microstructure evolution, during the last three passes of the round bars rolling with the consequent phase transformation, are presented in the paper.

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“…In principle, there are the two ways to define the minimum or the highest displacement by onecell element. Marx 26 , et al decided to take the minimum displacement to be one cell element, which implies that higher grain boundary velocities would sweep several grid elements during each time step, while Mukhopadhyay 30 , et al considered the highest displacement to be one-cell element. This gave a microstructure development following the time-dependent discrete grain boundary mobility and driving pressure.…”

Section: Introductionmentioning

confidence: 99%

“…An advanced CA technique for the simulation of microstructure, texture, and kinetics has been developed by Mukhopadhyay 30 , et al That simulation tool can be efficiently applicable for the simulation of microstructure, texture, and kinetics of aluminium alloys for their industrial annealing process [27][28][29][30] . In principle, there are the two ways to define the minimum or the highest displacement by onecell element.…”

Section: Introductionmentioning

confidence: 99%

Development of Cube Recrystallisation Texture and Microstructure of an Aluminium Alloy Suitable for Cartridge Case Manufacturing

Mukhopadhyay¹,

Verma²

2010

DSJ

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Electron backscattered diffraction investigations on just fully recrystallised orientation image microstructures, showed that the cube-oriented grains had the largest size in all microstructures of an aluminium alloy, which have potential use in the cartridge case manufacturing for defence purpose. The simulation of cube microstructure and texture of that aluminium alloy was tried. The recrystallisation texture and microstructure simulation by the 3-D cellular automaton model with the consideration of highest mobility of 40º<111> grainboundary, predicted the volume fraction of the cube texture orientation which was validated by experiment.

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A cellular operator model for the simulation of static recrystallization

Cited by 74 publications

References 29 publications

Simulation of recrystallization in iron single crystals

Simulation of recrystallization in iron single crystals

Simulation of Microstructure Evolution during Shape Rolling with the Use of Frontal Cellular Automata

Development of Cube Recrystallisation Texture and Microstructure of an Aluminium Alloy Suitable for Cartridge Case Manufacturing

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