On the use of a cluster identification method and a statistical approach for analyzing atom probe tomography data for GP zones in Al-Zn-Mg(-Cu) alloys
Résumé
Early-stage clustering in two Al-Mg-Zn(-Cu) alloys has been investigated using atom probe tomography and transmission electron microscopy. Cluster identification by the iso-position method and a statistical approach based on the pair correlation function have both been applied to estimate the cluster size, composition and volume fraction from atom probe datasets. To assess the accuracy of the quantification of synthesized distributions of clusters of different mean size, a synthesized virtual dataset was used accounting for a simulated degraded spatial resolution. The quality of the predictions made by the two complementary methods are discussed, considering the measured and virtual datasets.
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