| Abstract Scope |
In order to develop precipitation-strengthened high-performance martensitic steels, the project has been working on the development of a computational materials design framework, instead of using the conventional trial-and-error approach to cut significant time and resources in the steel development process.
Advanced characterization tools are important for this development, as they are supporting quantitative data for database development, input for the setup of modelling, and the calibration/validation of modelling. Among them, APT, with the capability of 3D atomic mapping, allows us to quantitatively characterize the precipitation kinetics, i.e. the evolution of chemistry, size, volume fraction, density of precipitates with time during the tempering treatment. These data work has important inputs for developing both precipitation kinetics models and mechanical property models. In this talk, we will show how the APT, have been supporting the development of precipitation kinetics modelling of the nucleation, growth and coarsening of Cu precipitate. |