2011
DOI: 10.1080/14786435.2011.613860
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Controlled Poisson Voronoi tessellation for virtual grain structure generation: a statistical evaluation

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Cited by 41 publications
(23 citation statements)
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“…The classical approach to generation of these type of microstructures is based on the Poisson-Voronoi algorithm [52]. Similar approaches based on division of computational domain by geometrical shapes are based on the LaguerreVoronoi tessellation [53], the Controlled Poisson-Voronoi tessellation [54] or the Weaire-Phelan algorithm [55]. However, grain shapes obtained by a Voronoi type tessellation are often far from shapes of grains observed under a microscope.…”
Section: Methods Of Synthetic Generation Of Microstructuresmentioning
confidence: 98%
“…The classical approach to generation of these type of microstructures is based on the Poisson-Voronoi algorithm [52]. Similar approaches based on division of computational domain by geometrical shapes are based on the LaguerreVoronoi tessellation [53], the Controlled Poisson-Voronoi tessellation [54] or the Weaire-Phelan algorithm [55]. However, grain shapes obtained by a Voronoi type tessellation are often far from shapes of grains observed under a microscope.…”
Section: Methods Of Synthetic Generation Of Microstructuresmentioning
confidence: 98%
“…Zhang et al [33,47] used a controlled Poisson Voronoi tessellation model to generate polycrystalline microstructures. They introduced control parameters to control the regularity of the microstructure and ensure that the grain size distribution is statistically equivalent to real microstructures.…”
Section: Nygårds and Gudmundsonmentioning
confidence: 99%
“…It is worth mentioning that by assigning the physical parameters, including the mean grain size D mean , a small grain size D L , a large grain size D R and the percentage P r of grains in that range, repeatedly generated VTs are statistically equivalent in terms of regularity and grain size distribution. The details of the CPVT's parameters and their relations are explained in .…”
Section: Vgrain System and Simulationsmentioning
confidence: 99%