Modeling precipitation kinetics for multi-phase and multi-component systems using particle size distributions via a moving grid technique

Research output: Journal contributionsJournal articlesResearchpeer-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 languageEnglish
Article number117053
JournalActa Materialia
Volume215
Number of pages14
ISSN1359-6454
DOIs
Publication statusPublished - 15.08.2021

    Research areas

  • Aluminum alloys, Kampmann-Wagner numerical model, Moving grid technique, OpenCalphad, Precipitation kinetics
  • Engineering

Recently viewed

Publications

  1. The temporal pattern of creativity and implementation in teams
  2. Geometric structures using model predictive control for an electromagnetic actuator
  3. Is the market classification of risk always efficient?
  4. Multiple
  5. Modeling and simulation of the heterogenous material behavior in thermal-sprayed coatings
  6. An optimal minimum phase approximating PD regulator for robust control of a throttle plate
  7. Forest structure and heterogeneity increase diversity and alter composition of host–parasitoid networks
  8. Das Konzept "Dialog" in der Werbung
  9. Applying FIDIC contracts in Jordan
  10. Distal and proximal predictors of snacking at work
  11. Model Predictive Control for Energy Optimization in Generators/Motors as Well as Converters and Inverters for Futuristic Integrated Power Networks
  12. Organizational practices for the aging workforce
  13. The effect of complacency potential on human operators’ monitoring behavior in aviation
  14. Responsible Research is also concerned with generalizability
  15. What do we know about new venture investment time patterns?
  16. Time and Income Poverty – An Interdependent Multidimensional Poverty Approach with German Time Use Diary Data
  17. Tier
  18. Learning processes for interpersonal competence development in project-based sustainability courses – insights from a comparative international study
  19. Red List of marine macroalgae of the Wadden Sea
  20. How Do AI Educators Use Open Educational Resources? A Cross-Sectoral Case Study on OER for AI Education
  21. Tree diversity effects on litter decomposition are mediated by litterfall and microbial processes
  22. Deformation and Anchoring of AA 2024-T3 rivets within thin printed circuit boards
  23. Resource use and competition between honey bees and wild bees in the Lüneburger Heath
  24. You Are What You Eat (from)?
  25. Notting Hill Gate 4 Basic
  26. Creating a trusting environment in the sharing economy