Phase-field method-based bending dendritic crystal growth simulation method

Abstract

The invention relates to a phase-field method-based bending dendritic crystal growth simulation method. The phase-field method-based bending dendritic crystal growth simulation method comprises the following steps: simplifying conditions and initializing a model; establishing a macroscopic temperature field equation and a transient dendritic crystal growth deviation angle equation; establishing amicrostructure evolution model and establishing a phase field model for simulating bending dendritic crystal growth based on a Ginzburg-Landau theory; and performing macroscopic-microcosmic coupling calculation, introducing a macroscopic temperature field and a dendritic crystal growth deviation angle into the field phase model, and calculating the growth process of the bending dendritic crystal to finally obtain the shape of the bending dendritic crystal. According to the phase-field method-based bending dendritic crystal growth simulation method, formation of the bending dendritic crystal inthe solidification process can be simulated and predicted quantitatively, the formation process of the solidified microstructure dynamically reappears, deep understanding of the evolution process ofthe solidified microstructure is facilitated, and basis is laid for microstructure evolution research and process optimization.

Description

technical field [0001] The invention belongs to the field of research on the growth of curved dendrites, in particular to a method for simulating the growth of curved dendrites based on a phase field method. Background technique [0002] The solidification process has always been a key research topic of many researchers, because the complex solidification process can determine the final solidification microstructure of the component, thereby affecting its mechanical properties. Studying and studying the complex solidification process and the final microstructure formed can provide valuable theoretical basis and data experience for process optimization. [0003] Traditional research is mostly based on experimental data and experience. Not only is the research process lengthy and the cost of funds is huge, but it is often difficult to meet the ever-increasing requirements for process precision and accuracy. With the rapid development of computer technology and the continuous ...

AI Technical Summary

Problems solved by technology

[0003] Traditional research is mostly based on experimental data and experience. Not only is the research process lengthy and the cost of funds is huge, but it is often difficult to meet the ever-increasing requirements for process precision and accuracy.

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