|About this Abstract
||2017 TMS Annual Meeting & Exhibition
||Applications of Solidification Fundamentals
||Analytics on Large Microstructure Datasets Using Two Point Statistics: Application to Coarsening Dendritic Solid-Liquid Mixtures
||Yue Sun, Ahmet Cecen, Surya Kalidindi, Peter Voorhees
|On-Site Speaker (Planned)
Understanding microstructural evolution in materials processing is essential in controlling the properties of the final products. The experimental data for microstructural evolution are often three- or four-dimensional (three spatial dimensions and time) in nature. This makes it difficult for direct analysis of large volumes of data. Here we propose a two-point statistical method for analyzing microstructure properties in large and high-dimensional datasets. This method is independent of the morphology of the structure, unlike the commonly used the secondary arm spacing. Using Pearson correlation coefficient and two-point probability distribution, we have obtained the spatial correlation of the interfacial mean curvature and interfacial velocity of an Al-Cu alloy dendritic microstructure undergoing coarsening. From the correlation maps, we obtain the four-fold symmetry of the dendritic microstructure, and quantitative measures of the characteristic lengths of these complicated microstructures.
||Planned: Supplemental Proceedings volume