A model is described for the development of anisotropic grain boundary character distributions from initially random distributions. The model is based on biased topological changes in the grain boundary network that eliminate and create boundaries during grain growth. The grain boundary energy influences the rates of these topological changes by altering the relative areas of the interfaces. The model predicts grain boundary character distributions that are inversely related to the grain boundary energy and are consistent with experimental observations.
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