Published September 2018 | Version v1
Journal article

Parameter free quantitative analysis of atom probe data by correlation functions: Application to the precipitation in Al-Zn-Mg-Cu

  • 1. Max-Planck-Institut für Eisenforschung, Max-Planck-Str. 1, 40237 Düsseldorf (Germany)
  • 2. Univ. Grenoble Alpes, CNRS, Grenoble INP, SIMaP, F-38000 Grenoble (France)

Description

Atom probe tomography enables precise quantification of the composition of second phase particles from their early stages, leading to improved understanding of the thermodynamic and kinetic mechanisms of phase formation and quantify structure-property relationships. Here we demonstrate how approaches developed for small-angle scattering can be adapted to atom probe tomography. By exploiting nearest-neighbor distributions and radial distribution function, we introduce a parameter free methodology to efficiently extract information such as particle size, composition, volume fraction, number density and inter-particle distance. We demonstrate the strength of this approach in the analysis of a precipitation-hardened model Al-Zn-Mg-Cu high-strength lightweight alloy.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.scriptamat.2018.05.024

Additional details

Identifiers

DOI
10.1016/j.scriptamat.2018.05.024;
arXiv
arXiv:1806.03141v1;
PII
S135964621830318X;

Publishing Information

Journal Title
Scripta Materialia
Journal Volume
154
Journal Page Range
p. 106-110
ISSN
1359-6462
CODEN
SCMAF7

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
50057545
Subject category
S36: MATERIALS SCIENCE;
Descriptors DEI
ALUMINIUM ALLOYS; ATOMS; COPPER ALLOYS; CORRELATION FUNCTIONS; DISTRIBUTION FUNCTIONS; KINETICS; MAGNESIUM ALLOYS; PARTICLE SIZE; PRECIPITATION; PROBES; SMALL ANGLE SCATTERING; THERMODYNAMICS; TOMOGRAPHY; ZINC ALLOYS
Descriptors DEC
ALLOYS; DIAGNOSTIC TECHNIQUES; FUNCTIONS; SCATTERING; SEPARATION PROCESSES; SIZE; TRANSITION ELEMENT ALLOYS

Optional Information

Copyright
Copyright (c) 2017 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.