TY - JOUR
T1 - A new perspective on the normal grain growth exponent obtained in two-dimensional Monte Carlo simulations
AU - Yu, Qiang
AU - Esche, Sven K.
PY - 2003/11
Y1 - 2003/11
N2 - 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.
AB - 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.
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U2 - 10.1088/0965-0393/11/6/004
DO - 10.1088/0965-0393/11/6/004
M3 - Article
AN - SCOPUS:0242695767
SN - 0965-0393
VL - 11
SP - 859
EP - 861
JO - Modelling and Simulation in Materials Science and Engineering
JF - Modelling and Simulation in Materials Science and Engineering
IS - 6
ER -