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Updated: Feb 16, 2026

Preparation of Binary and Ternary Deep Eutectic Systems
Published on: October 31, 2019
The boundary integral theory for slow and rapid curved solid/liquid interfaces propagating into binary systems
Peter K Galenko1, Dmitri V Alexandrov2, Ekaterina A Titova2
1Physikalisch-Astronomische Fakultät, Friedrich-Schiller-Universität Jena, 07743 Jena, Germany peter.galenko@uni-jena.de.
This study details a boundary integral method for solid/liquid interfaces, considering both equilibrium and non-equilibrium solidification. It presents a unified equation and models to predict crystal shapes and growth patterns in binary mixtures.
Area of Science:
- Materials Science
- Computational Physics
- Chemical Engineering
Background:
- Solidification processes are crucial in materials science and crystal growth.
- Understanding interface propagation under thermo-solutal conditions is complex.
- Existing models often simplify local equilibrium or non-equilibrium effects.
Purpose of the Study:
- To develop a unified boundary integral method for solid/liquid interface propagation.
- To incorporate both local equilibrium and non-equilibrium solidification conditions.
- To derive and analyze thermo-solutal selection criteria for dendritic growth.
Main Methods:
- Boundary integral method applied to thermo-solutal Stefan-type models.
- Derivation of a unified integro-differential equation for curved interfaces.
- Analysis of quasi-stationary Ivantsov and Horvay-Cahn solutions.
- Computational modeling of crystal growth in binary mixtures.
Main Results:
- A unified equation encompassing steady-state solidification is derived.
- Quasi-stationary solutions predict paraboloidal and elliptical crystal shapes.
- Dendritic tip morphology is described as spherical (isotropic) or deformed spherical (anisotropic).
- A thermo-solutal selection criterion for quasi-stationary dendrite growth is established.
Conclusions:
- The boundary integral method effectively models complex solidification phenomena.
- Selected crystal structures (dendritic, fractal, planar) can be obtained through computational modeling.
- The study provides insights into the selection of growth modes based on Péclet numbers and anisotropy.
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