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3D reconstruction of grains in polycrystalline materials using a tessellation model with curved grain boundaries

Publication at Faculty of Mathematics and Physics |
2016

Abstract

A random tesselation model is used to fit the grain boundary microstructure of metallic materiál. Simulated annealing algorithm is used to optimize the approximation of data by the model.