2015
DOI: 10.1016/j.commatsci.2015.05.032
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Strain energy limitations in Monte Carlo Potts modeling of grain growth

Abstract: a b s t r a c tPrevious literature reports that the Monte Carlo Potts (MCP) method can only reproduce the linear relationship between grain boundary velocity and strain energy driving force expected under ideal grain growth conditions for small values of strain energy. The exact range of strain energy values for which linearity can be reflected in MCP are not defined. To determine this range, a series of simulations are performed using Monte Carlo Potts in both square 2D and cubic 3D geometries using the Moore… Show more

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Cited by 5 publications
(2 citation statements)
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“…Among those methods the Monte Carlo Potts model is known for its comparative simplicity regarding its basic algorithm. At the same time, it can be tailored to complex problems allowing the simulation of the influence of texture on grain growth, of junction-controlled grain growth as it may appear in nanocrystalline materials or of grain growth in thin films [10][11][12][13][14][15][16][17][18][19].…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…Among those methods the Monte Carlo Potts model is known for its comparative simplicity regarding its basic algorithm. At the same time, it can be tailored to complex problems allowing the simulation of the influence of texture on grain growth, of junction-controlled grain growth as it may appear in nanocrystalline materials or of grain growth in thin films [10][11][12][13][14][15][16][17][18][19].…”
Section: Methodsmentioning
confidence: 99%
“…The introduction of the so-called simulation temperature, about which more information is provided in section 2, cf also [13], was one of the main improvement aspects. The traditional zero-temperature Potts model approach is still in use today, despite the fact that this particular improvement enables much more realistic simulations of, for example, anisotropic or abnormal grain growth, texture-controlled grain growth, coarsening under the influence of second phase particles [14][15][16][17][18][19], as well as ideal grain growth [8] that does indeed follow self-similarity as theoretically predicted.…”
Section: Introductionmentioning
confidence: 99%