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

Abstract

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.

References in corpus (3)

• Estimation of the reconstruction parameters for Atom Probe Tomography
• Atom Probe Tomography Spatial Reconstruction: Status and Directions
• Guided mass spectrum labelling in atom probe tomography

Cited by in corpus (6)

• Hydrogen trapping and embrittlement in high-strength Al-alloys
• Segregation assisted grain boundary precipitation in a model Al-Zn-Mg-Cu alloy
• Metrology of small particles and solute clusters by atom probe tomography
• Spinodal decomposition versus classical gamma-prime nucleation in a nickel-base superalloy powder: An in-situ neutron diffraction and atomic-scale analysis
• Intermixing of Fe and Cu on the atomic scale by high-pressure torsion as revealed by DC- and AC-SQUID susceptometry and atom probe tomography
• Reflections on the spatial performance of atom probe tomography in the analysis of atomic neighbourhoods