Simulation of normal grain growth by cellular automata

Liu, Y.; Baudin, Thierry; Pénelle, R.

doi:10.1016/1359-6462(96)00055-3

Cited by 97 publications

(46 citation statements)

References 4 publications

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“…The CA method has been used in modeling not only recrystallization (14,15,17,27) and grain growth (29)(30)(31), but also surface mass transport (32,33). However, so far the transition rules used for modelling microstructure evolution appear to be rather inconsistent either in their format or in physical meaning.…”

Section: Introductionmentioning

confidence: 99%

“…This has prevented its use in a system where different microstructure phenomena occur simultaneously. For example in modeling grain growth in 2-D, Liu et al (29) used a deterministic CA cell transition rule based on a simple cell-counting method (i.e. counting the number of neighbouring cells having the same state as the cell being considered).…”

Section: Introductionmentioning

confidence: 99%

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Modeling Microstructure Evolution of Ni Cermet Using a Cellular Automaton Approach

Wang

Atkinson

2014

J. Electrochem. Soc.

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The degradation of SOFC electrodes is often determined by their microstructure changes. It is desirable that the microstructure evolution of electrodes in service can be simulated in 3-D for real materials so that the changes in their electrochemical performance can be predicted.This involves changes in important parameters such as: electronic and ionic conductivities; TPB (triple phase boundary) density and connectivity; and tortuosity of condensed phases and porosity. In this contribution a new cellular automaton (CA) approach to simulating complex microstructure evolution is presented, which is based on free energy reduction by using an interface imbalanced interaction model. The approach is validated first in 2-D examples to reproduce wetting between two solids and grain boundary grooving, which shows the new approach is fully consistent with classical theories. The approach is then applied to simulation of the evolution of a real 3 dimensional microstructure of a Ni-YSZ cermet fuel cell anode. The modelling results show that the microstructure evolution is sensitive to the wettability of Ni on YSZ and that a good wettability is helpful in maintaining a slower coarsening rate and smaller reduction of electrode performance.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Modeling Microstructure Evolution of Ni Cermet Using a Cellular Automaton Approach

Wang

Atkinson

2014

J. Electrochem. Soc.

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“…Srolovitz et al 1 analyzed this problem and reached the conclusion that the results were equivalent, provided higher temperatures were used in the simulations with square matrix. This is due to the fact that in this kind of discretization, a perfect 120°a ngle between boundaries in not possible.…”

Section: Results In a 2d Square Latticementioning

confidence: 99%

“…It is, in fact, one of the most important issues in the control of microstructure 1 . As a result, this phenomenon is exhaustively studied in Metallurgy.…”

Section: Introductionmentioning

confidence: 99%

Monte Carlo simulation of grain growth

Blikstein

Tschiptschin

1999

Mat. Res.

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Understanding and predicting grain growth in Metallurgy is meaningful. Monte Carlo methods have been used in computer simulations in many different fields of knowledge. Grain growth simulation using this method is especially attractive as• the statistical behavior of the atoms is properly reproduced;• microstructural evolution depends only on the real topology of the grains and not on any kind of geometric simplification.Computer simulation has the advantage of allowing the user to visualize graphically the procedures, even dynamically and in three dimensions.Single-phase alloy grain growth simulation was carried out by calculating the free energy of each atom in the lattice (with its present crystallographic orientation) and comparing this value to another one calculated with a different random orientation. When the resulting free energy is lower or equal to the initial value, the new orientation replaces the former. The measure of time is the Monte Carlo Step (MCS), which involves a series of trials throughout the lattice. A very close relationship between experimental and theoretical values for the grain growth exponent (n) was observed.

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“…It was proposed by Von Neumann and Stanislaw in 1948 and initially used for the simulation of the self-reproductive phenomenon of biosystem (Neumann, 1966). In 1991, Hesselbarth and Gobel firstly applied the CA method in the simulation of primary recrystallisation and successfully described the theory of Johnson-Mehl-Avrami-Kolmogorov (Liu et al, 1996). The CA method has characteristics of less calculation, high arithmetic speed and full consideration of the physical mechanism of microstructure evolution.…”

Section: Research Status Of Microstructure Evolution Simulationmentioning

confidence: 99%

The classification and a review of hot power spinning of difficult-to-deform metals

Xia

Zhu

Cheng

et al. 2017

IJMPT

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Abstract:The plastic deformation of the difficult-to-deform metal at room temperature is very difficult due to the poor plasticity and large deformation resistance. Heating is an effective method to increase the material plasticity and decrease the forming forces. In this paper, the classification of the hot power spinning is proposed based on the heating methods, and the characteristics of the flame heating, laser heating, electromagnetic induction heating and hot gas convection heating methods are compared and analysed in detail. The research status of the macro forming quality during hot power spinning of the difficult-to-deform metal, especially the reasons and the preventing measures of the spinning defects, such as surface bulge, surface crack, surface pileup and surface peeling, is reviewed and discussed comprehensively. The research status of metallographic experimental analysis, microstructure involution simulation and mechanical properties of spun parts of the difficult-to-deform metal is summarised, and the main methods used for microstructure evolution simulation are compared. Finally, the research trend to realise the integrated controlling of the macro forming quality and microstructure of the hot spun part of the difficult-to-deform metal is put forward. The classification and a review of hot power spinning 213Keywords: difficult-to-deform metal; hot power spinning; macro forming quality; microstructure and property; forming defect.Reference to this paper should be made as follows: Xia, Q., Zhu, N., Cheng, X. and Xiao, G. (2017) Ningyuan Zhu is a PhD student in School of Mechanical and Automobile Engineering, South China University of Technology. He works on metal spinning technology, further investigations on the integrated control of the precision and the properties of difficult-to-deform metal during hot power spinning.Xiuquan Cheng is a Professor in Department of Aircraft Maintenance Engineering, Guangzhou Civil Aviation College. He research interests include plastic forming theory, method, technology and machine.Gangfeng Xiao is a PhD student in School of Mechanical and Automobile Engineering, South China University of Technology. He works on metal spinning technology, further investigations on the microstructure, properties and plastic deformation mechanism of nanomaterial of spinning, further investigations on the microstructure, properties and plastic deformation mechanism of nanomaterial.

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Simulation of normal grain growth by cellular automata

Cited by 97 publications

References 4 publications

Modeling Microstructure Evolution of Ni Cermet Using a Cellular Automaton Approach

Modeling Microstructure Evolution of Ni Cermet Using a Cellular Automaton Approach

Monte Carlo simulation of grain growth

The classification and a review of hot power spinning of difficult-to-deform metals

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