Precipitation during high temperature aging of Al−Cu alloys: A multiscale analysis based on first principles calculations
2019 (English)In: Acta Materialia, ISSN 1359-6454, E-ISSN 1873-2453, Vol. 167, p. 121-135Article in journal (Refereed) Published
Abstract [en]
Precipitation during high temperature aging of Al−Cu alloys is analysed by means of the integration of classical nucleation theory and phase-field simulations into a multiscale modelling approach based on well-established thermodynamics principles. In particular, thermal stability of θ'', θ′ and θ precipitates was assessed from first principles calculations of the Helmholtz free energy while homogeneous and heterogeneous nucleation of θ'' and θ′ was analysed using classical nucleation theory. Precipitate growth was finally computed by means of a mesoscopic phase-field model. The model parameters that determine quantitatively the driving forces for each transformation were obtained by means of first principles calculations and computational thermodynamics. The predictions of the models were in good agreement with experimental results and provided a comprehensive understanding of the precipitation pathway in Al−Cu alloys. It is envisaged that the strategy presented in this investigation can be used in the future to design optimum microstructures based on the information of the different energy contributions obtained from first principles calculations. © 2019 Acta Materialia Inc.
Place, publisher, year, edition, pages
Elsevier, 2019. Vol. 167, p. 121-135
Keywords [en]
Al alloys, First principles calculations, Multiscale modelling, Nucleation energy barrier, Precipitates, Thermal stability, Aluminum alloys, Computation theory, Copper alloys, Free energy, Nucleation, Precipitation (chemical), Thermodynamic stability, Al-alloy, Classical nucleation theory, Computational thermodynamics, First-principles calculation, Heterogeneous nucleation, Multi-scale modelling, Multiscale modelling approach, Nucleation energy, Calculations
National Category
Materials Engineering
Research subject
Materials Engineering
Identifiers
URN: urn:nbn:se:kau:diva-87222DOI: 10.1016/j.actamat.2019.01.024ISI: 000461411300011OAI: oai:DiVA.org:kau-87222DiVA, id: diva2:1612561
2021-11-182021-11-182022-05-25Bibliographically approved