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Climate related phase transitions with moving boundaries by virtue of mushy zone investigation in Al-Cu: experiment and phase-field modeling
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  • Irina Nizovtseva,
  • Vladimir Ankudinov,
  • Eric Rahner,
  • Stephanie Lippmann
Irina Nizovtseva
Friedrich-Schiller-Universitat Jena Otto-Schott-Institut fur Materialforschung

Corresponding Author:irina.nizovtseva@uni-jena.de

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Vladimir Ankudinov
Institut fiziki vysokih davlenij RAN
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Eric Rahner
Friedrich-Schiller-Universitat Jena Otto-Schott-Institut fur Materialforschung
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Stephanie Lippmann
Friedrich-Schiller-Universitat Jena Otto-Schott-Institut fur Materialforschung
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Abstract

Studying Arctic ice formation stays in the focus of research groups over the past decades in the context of ice cover changes, thermal budget and climate agenda in general. Nevertheless, the phenomenon’s underlying mechanisms are still not completely understood and described. The main reason for the lack in understanding is the limited experimental access to the field data, thus there is a need to build competent analogies between the natural (ocean water – ice) and laboratory (binary alloy) conditions of the experiment as a step of data preparation for the verification of the mathematical model. In the current paper the existing qualitative models describing the process of melting and crystallization were expanded and the experimental method was developed copying the layering of the natural ocean water – ice mixture. The experimental set-up for studying the solidification within the intermediate zone was designed for Al-Cu alloys and the corresponding experimental data was used for the development of a binary phase-field model for solidification considering moving boundaries. The model includes the description of the free energy of both phases and their respective diffusion coefficients. It allows modeling of the eutectic alloys and potentially corresponding natural ocean water — ice mixture at a mesoscopic spatial level by including the concentration-driven phase transition. The novel results will help the quantitative understanding of solidification phenomena and are highly-evaluated from interdisciplinary point of view, including glaciology and geosciences, ultimately significant for the understanding the global climate change landscape.
23 Dec 2022Submitted to Mathematical Methods in the Applied Sciences
05 Jan 2023Submission Checks Completed
05 Jan 2023Assigned to Editor
06 Jan 2023Review(s) Completed, Editorial Evaluation Pending
07 Jan 2023Reviewer(s) Assigned
26 Feb 2023Editorial Decision: Revise Major
31 Mar 20231st Revision Received
17 Apr 2023Submission Checks Completed
17 Apr 2023Assigned to Editor
17 Apr 2023Review(s) Completed, Editorial Evaluation Pending
17 Apr 2023Reviewer(s) Assigned
25 Apr 2023Editorial Decision: Revise Major
25 Oct 20232nd Revision Received