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Modeling of nucleation and growth in glass-forming alloys using a combination of classical and phase-field theory
Division of Solid Mechanics, Lund University, PO Box 118, Lund, SE 22100, Sweden.
Malmö University, Faculty of Technology and Society (TS), Department of Materials Science and Applied Mathematics (MTM). Division of Solid Mechanics, Lund University, PO Box 118, Lund, 22100, SE, Sweden.ORCID iD: 0000-0001-6532-6720
Division of Solid Mechanics, Lund University, PO Box 118, Lund, SE 22100, Sweden.
2019 (English)In: Computational materials science, ISSN 0927-0256, E-ISSN 1879-0801, Vol. 165, p. 167-179Article in journal (Refereed) Published
Abstract [en]

For metallic glasses, it is of vital importance to understand the glass formation properties and to be able to predict the crystallization process in the supercooled liquid. In the present work, we model the process of nucleation and growth using a combination of classical nucleation and phase-field theory. A diffusion coupled phase-field model is used to evaluate the work of formation and the growth behavior of the critical nucleus. The results are combined with classical nucleation and JMAK theory in order to estimate the glass forming ability of the compositions Cu64Zr36, Cu10Zr7 and CuZr2 in terms of TTT-diagrams and critical cooling rates. It is found that the work of formation of the critical nucleus from the phase-field theory agrees with the classical theory when the critical size is larger than the width of the solid-liquid interface. At smaller critical sizes, the work of formation deviates approximately linearly between the two theories. Furthermore, it is shown that the growth behavior from the phase-field simulations agree with analytical expressions of the growth rate from the classical theory.

Place, publisher, year, edition, pages
Elsevier, 2019. Vol. 165, p. 167-179
Keywords [en]
Metallic glasses, Phase-field, Cu-Zr, Nucleation, Glass-forming ability
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:mau:diva-2456DOI: 10.1016/j.commatsci.2019.04.008ISI: 000468059700021Scopus ID: 2-s2.0-85064888836Local ID: 29517OAI: oai:DiVA.org:mau-2456DiVA, id: diva2:1399209
Available from: 2020-02-27 Created: 2020-02-27 Last updated: 2024-06-17Bibliographically approved

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Fisk, Martin

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