Abstract
A 3D grain growth model is developed based on a generalised mean-field approach. It allows the prediction of the growth history of individual grains of a polycrystal during normal grain growth, which has been compared with results from Monte Carlo Potts simulations showing a good agreement. Based on a stochastic grain growth model the diffusivity of the Brownian-like motion of individual quadruple points and triple junctions in 2D sections can be related to the average growth rate providing a possibility for the determination of the average growth law of the grain ensemble solely from the stochastic growth behaviour of single grains.
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