Atom probe tomography data analysis procedure for precipitate and cluster identification in a Ti-Mo steel.

ABSTRACT: An atom probe tomography data analysis procedure for identification of particles in a Ti-Mo steel is presented. This procedure has been used to characterise both carbide precipitates (larger particles) and solute clusters (smaller particles), as reported in an accompanying Mater. Sci. Eng. A paper [1]. Particles were identified using the maximum separation method (cluster-finding algorithm) after resolving peak overlaps at several locations in the mass spectrum. The cluster-finding algorithm was applied to the data in a two-stage process to properly identify particles having a bimodal size distribution. Furthermore, possible misidentification of matrix atoms (mainly Fe) due to the local magnification effect (from the difference in field evaporation potential between the matrix and precipit

SUBMITTER: Dhara S 

PROVIDER: S-EPMC5996495 | biostudies-literature | 2018 Jun

REPOSITORIES: biostudies-literature