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arxiv: 1411.4535 · v3 · pith:T4SDLXW4new · submitted 2014-11-17 · ❄️ cond-mat.mtrl-sci · math.OC

Generalized balanced power diagrams for 3D representations of polycrystals

classification ❄️ cond-mat.mtrl-sci math.OC
keywords grainbalanceddiagramsgeneralizedmaterialnon-equiaxedparameterspolycrystals
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Characterizing the grain structure of polycrystalline material is an important task in material science. The present paper introduces the concept of generalized balanced power diagrams as a concise alternative to voxelated mappings. Here, each grain is represented by (measured approximations of) its center-of-mass position, its volume and, if available, by its second-order moments (in the non-equiaxed case). Such parameters may be obtained from 3D x-ray diffraction. As the exact global optimum of our model results from the solution of a suitable linear program it can be computed quite efficiently. Based on verified real-world measurements we show that from the few parameters per grain (3, respectively 6 in 2D and 4, respectively 10 in 3D) we obtain excellent representations of both equiaxed and non-equiaxed structures. Hence our approach seems to capture the physical principles governing the forming of such polycrystals in the underlying process quite well.

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