Variational algorithms and pattern formation in dendritic solidification
Journal of Computational Physics
Computation of three dimensional dendrites with finite elements
Journal of Computational Physics
Analysis of Moving Mesh Partial Differential Equations with Spatial Smoothing
SIAM Journal on Numerical Analysis
An Alternating Crank--Nicolson Method for Decoupling the Ginzburg--Landau Equations
SIAM Journal on Numerical Analysis
Adaptive mesh refinement computation of solidification microstructures using dynamic data structures
Journal of Computational Physics
Moving mesh methods in multiple dimensions based on harmonic maps
Journal of Computational Physics
A moving mesh method for the solution of the one-dimensional phase-field equations
Journal of Computational Physics
A simple moving mesh method for one-and two-dimensional phase-field equations
Journal of Computational and Applied Mathematics - Special issue: International conference on mathematics and its application
Spectral implementation of an adaptive moving mesh method for phase-field equations
Journal of Computational Physics
Moving Mesh Methods for Singular Problems on a Sphere Using Perturbed Harmonic Mappings
SIAM Journal on Scientific Computing
Journal of Computational Physics
Journal of Scientific Computing
A numerical investigation of blow-up in reaction-diffusion problems with traveling heat sources
Journal of Computational and Applied Mathematics
Simulating finger phenomena in porous media with a moving finite element method
Journal of Computational Physics
An adaptive algorithm for the Thomas---Fermi equation
Numerical Algorithms
Hi-index | 31.45 |
This paper deals with the application of a moving grid method to the solution of a phase-field model for dendritic growth in two- and three-dimensions. A mesh is found as the solution of an optimization problem that automatically includes the boundary conditions and is solved using a multi-grid approach. The governing equations are discretized in space by linear finite elements and a split time-level scheme is used to numerically integrate in time. One novel aspect of the method is the choice of a regularized monitor function. The moving grid method enables us to obtain accurate numerical solutions with much less degree of freedoms. It is demonstrated numerically that the tip velocity obtained by our method is in good agreement with the previously published results.