A chemical composition correction model for nanoclusters observed by APT - Application to ODS steel nanoparticles

被引：27

作者：

Hatzoglou, Constantinos ^{[1
]}

Radiguet, Bertrand ^{[1
]}

Vurpillot, Francois ^{[1
]}

Pareige, Philippe ^{[1
]}

机构：

[1] Normandie Univ, CNRS, INSA Rouen, UNIROUEN,Grp Phys Mat, F-76000 Rouen, France

来源：

JOURNAL OF NUCLEAR MATERIALS | 2018年 / 505卷

关键词：

ATOM-PROBE TOMOGRAPHY; FIELD EVAPORATION; ALLOYS; PRECIPITATION; PERSPECTIVE; MICROSCOPY; OVERLAPS; BEHAVIOR; SCALE; CR;

D O I：

10.1016/j.jnucmat.2018.03.057

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

In this study, it is presented an analytical model of chemical composition correction for nanoclusters observed by atom probe tomography, tacking into account artefacts that can bias the measured chemical compositions. After a detailed description of the model, it is exposed how it can be directly used from reconstructed dataset. Then it is applied to nanoparticles observed in an oxide dispersion strengthened steel. The model results coincide with experimental ones demonstrating its ability to quantify and correct the chemical composition bias resulting from the field evaporation. Since the analytical model does not provide explanation about the origin of the bias, field evaporation simulation are used to interpret the results. According to the simulation, composition and morphological biases result from a cross-over of ions trajectories. (C) 2018 Published by Elsevier B.V.

引用

页码：240 / 248

页数：9

共 27 条

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