Numerical approximation of multi-phase Penrose-Fife systems
This work provides a numerical solver for a specific multi-phase field model, which is an incremental contribution for researchers in computational materials science.
The paper develops a numerical approximation method for a non-isothermal multi-phase field model, solving the resulting saddle point problem with a non-smooth Schur-Newton approach. The method is applied to grain growth in liquid phase crystallization of silicon.
We consider a non-isothermal multi-phase field model. We subsequently discretize implicitly in time and with linear finite elements. The arising algebraic problem is formulated in two variables where one is the multi-phase field, and the other contains the inverse temperature field. We solve this saddle point problem numerically by a non-smooth Schur-Newton approach using truncated non-smooth Newton multigrid methods. An application in grain growth as occurring in liquid phase crystallization of silicon is considered.