A new perspective on the normal grain growth exponent obtained in two-dimensional Monte Carlo simulations

Qiang Yu, Sven K. Esche

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

Abstract

Conventional Monte Carlo Potts models were reported to produce a significantly lower normal grain growth exponent of n ≈ 0.41 in small grain size regimes. In this paper, it is shown that a three-parameter nonlinear regression analysis should be employed in order to obtain more accurate values for the grain growth exponents from the simulation data. To some degree, the lower grain growth exponent previously reported can also be attributed to the strong random nature of the simulation algorithm.

Original languageEnglish
Pages (from-to)859-861
Number of pages3
JournalModelling and Simulation in Materials Science and Engineering
Volume11
Issue number6
DOIs
StatePublished - Nov 2003

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