A more accurate two-dimensional grain growth algorithm

Emanuel A. Lazar*, Robert D. MacPherson, David J. Srolovitz

*Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

36 Citations (Scopus)

Abstract

We describe a method for evolving two-dimensional polycrystalline microstructures via mean curvature flow that satisfies the von Neumann-Mullins relation with an absolute error Ot2). This is a significant improvement over a different method currently used that has an absolute error Ot). We describe the implementation of this method and show that while both approaches lead to indistinguishable evolution when the spatial discretization is very fine, the differences can be substantial when the discretization is left unrefined. We demonstrate that this new front-tracking approach can be pushed to the limit in which the only mesh nodes are those coincident with triple junctions. This reduces the method to a vertex model that is consistent with the exact kinetic law for grain growth. We briefly discuss an extension of the method to higher spatial dimensions.
Original languageEnglish
Pages (from-to)364-372
JournalActa Materialia
Volume58
Issue number2
Online published23 Oct 2009
DOIs
Publication statusPublished - Jan 2010
Externally publishedYes

Research Keywords

  • Grain growth
  • Simulation
  • von Neumann-Mullins theory

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