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Methods of Ex Situ and In Situ Investigations of Structural Transformations: The Case of Crystallization of Metallic Glasses
Published on: June 7, 2018
Quantitative phase-field modeling of nonisothermal solidification in dilute multicomponent alloys with arbitrary
1Division of Materials Science and Engineering, Faculty of Engineering, Hokkaido University, Kita 13 Nishi 8, Kita-ku, Sapporo, Hokkaido 060-8628, Japan.
A new quantitative phase-field model simulates microstructural patterns during nonisothermal alloy solidification. The model accurately reproduces complex phenomena like dendritic growth in binary and ternary systems.
Area of Science:
- Materials Science
- Computational Physics
- Thermodynamics
Background:
- Microstructural pattern formation is crucial in alloy solidification.
- Accurate simulation of nonisothermal processes in multicomponent alloys remains challenging.
- Existing models may struggle with arbitrary thermal and solutal diffusivities.
Purpose of the Study:
- To develop a quantitative phase-field model for simulating microstructural pattern formation.
- To handle nonisothermal solidification in dilute multicomponent alloys.
- To validate the model's accuracy and convergence properties.
Main Methods:
- Developed a quantitative phase-field model incorporating antitrapping current terms.
- Employed matched asymptotic analysis to connect the model to free-boundary problems.
- Performed simulations for nonisothermal dendritic growth in binary and ternary alloys.
Main Results:
- The model successfully simulates microstructural pattern formation in nonisothermal solidification.
- Matched asymptotic analysis confirms the model's reproduction of the free-boundary problem in the thin-interface limit.
- Simulation results demonstrated convergence with decreasing interface thickness for various alloy systems.
Conclusions:
- The developed quantitative phase-field model is effective for simulating complex solidification phenomena.
- The model provides a robust framework for studying dendritic growth in multicomponent alloys.
- This work advances computational materials science for alloy design and processing.
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