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.2018.05.024Additional 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.