1999
DOI: 10.1590/s1516-14391999000300004
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Monte Carlo simulation of grain growth

Abstract: 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 pr… Show more

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Cited by 32 publications
(14 citation statements)
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“…1 Metallic sample before and after grain growth (Blikstein and Tschiptschin 1999) proof, thermodynamics, algebraic deductions, or statistical mechanics. Our classroom observations revealed that, for example, when explaining grain growth and deriving Burke's law, at least three sources were employed during the classes covering the phenomenon:…”
Section: Equational Representation Of Grain Growthmentioning
confidence: 99%
“…1 Metallic sample before and after grain growth (Blikstein and Tschiptschin 1999) proof, thermodynamics, algebraic deductions, or statistical mechanics. Our classroom observations revealed that, for example, when explaining grain growth and deriving Burke's law, at least three sources were employed during the classes covering the phenomenon:…”
Section: Equational Representation Of Grain Growthmentioning
confidence: 99%
“…However, fast development in this field is clearly visible for last 10-15 years as researchers were trying to incorporate microstructure into various numerical models [11][12][13][14][15][16][17][18][19][20][21][22][23][24][25][26]. At the beginning, a microstructure in its explicit manner was usually considered only as a support to better understand material behavior at the micro scale level.…”
mentioning
confidence: 99%
“…As we know, the grain structure is an important microstructural feature of a material, which will greatly affect the mechanical properties such as strength and toughness. During the last few decades, many researchers have made great efforts in the study of microstructure evolution by numerical simulation methods such as cellular automaton [1], phase field [2] and Monte Carlo (MC) [3] methods. The MC Potts model is a popular approach for studying grain growth kinetics, owing to its simplicity and flexibility.…”
Section: Introductionmentioning
confidence: 99%