Modeling precipitation kinetics for multi-phase and multi-component systems using particle size distributions via a moving grid technique
Research output: Journal contributions › Journal articles › Research › peer-review
Authors
The collection and coupling of thermodynamic data following the Calphad framework is important for the computational alloy and process design. The microstructure and the precipitation kinetics have a significant influence on the microstructure and mechanical properties of multi-component alloys in solid state; therefore, it is essential to account for solid state phase transformations via thermo-chemical process simulations. In this work an efficient numerical scheme for a Kampmann-Wagner numerical (KWN) model, which takes into account multi-component nucleation and growth theories via the coupling to the open thermodynamic software-package OpenCalphad, is developed and implemented. By the usage of the Calphad approach, it becomes feasible to describe complex multi-component alloy systems. The developed KWN model can take into account effects resulting from the generation or annihilation of vacancies by an off-equilibrium diffusion constant. For the solution of the particle size distribution an efficient and flexible moving grid algorithm is elaborated, which provides a robust and adaptive solution scheme for the simulation of nucleation, growth, coarsening and reversion. The model is applied to simulate the precipitation kinetics of recently published in-situ anomalous small angle X-ray scattering experiments studying reversion of an AA7xxx alloy and the identified model can reproduce the essential characteristics of these reversion experiments over a wide temperature range.
Original language | English |
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Article number | 117053 |
Journal | Acta Materialia |
Volume | 215 |
Number of pages | 14 |
ISSN | 1359-6454 |
DOIs | |
Publication status | Published - 15.08.2021 |
- Aluminum alloys, Kampmann-Wagner numerical model, Moving grid technique, OpenCalphad, Precipitation kinetics
- Engineering