In this paper, we propose an efficient multi-mesh h-adaptive algorithm to solve the level set model of dendritic growth. Since the level set function is used to provide implicitly the location of the phase interface, it is resolved by an h-adaptive mesh with refinement only around the phase interface, while the thermal field is approximated on another h-adaptive mesh. The proposed method not only can enjoy the merits of the level set function to handle complex evolution of the free boundary, but also can achieve the similar accuracy as the front tracking method for the sharp interface model with about the same degrees of freedom. The algorithm is applied to the simulation of the dendritic crystallization in a pure undercooled melt. The accu...
A phase field model is used to numerically simulate the solidification of a pure material. We employ...
A novel adaptive numerical approach is developed for an accurate and computationally efficient phase...
A novel adaptive numerical approach is developed for an accurate and computationally efficient phase...
In this work, we propose an efficient multi-mesh adaptive finite element method for simulating the d...
In this work, we propose an efficient multi-mesh adaptive finite element method for simulating the d...
In this work, we propose an efficient multi-mesh adaptive finite element method for simulating the d...
A phase field model describing the solidification of a binary alloy is investigated. The location of...
This paper deals with the application of a moving grid method to the solution of a phase-field model...
We study the evolution of solidification microstructures using a phase-field model computed on an ad...
Modeling solidification in the micro-scale is computationally intensive. To overcome this difficulty...
International audienceDendritic growth is computed with automatic adaptation of an anisotropic and u...
International audienceDendritic growth is computed with automatic adaptation of an anisotropic and u...
Abstract. Dendritic growth is a nonlinear process, which falls into the cat-egory of self-organizing...
A two-dimensional finite element model for simulation of dendritic solidification of binary alloys i...
Modeling solidification in the micro-scale is computationally intensive. To overcome this difficulty...
A phase field model is used to numerically simulate the solidification of a pure material. We employ...
A novel adaptive numerical approach is developed for an accurate and computationally efficient phase...
A novel adaptive numerical approach is developed for an accurate and computationally efficient phase...
In this work, we propose an efficient multi-mesh adaptive finite element method for simulating the d...
In this work, we propose an efficient multi-mesh adaptive finite element method for simulating the d...
In this work, we propose an efficient multi-mesh adaptive finite element method for simulating the d...
A phase field model describing the solidification of a binary alloy is investigated. The location of...
This paper deals with the application of a moving grid method to the solution of a phase-field model...
We study the evolution of solidification microstructures using a phase-field model computed on an ad...
Modeling solidification in the micro-scale is computationally intensive. To overcome this difficulty...
International audienceDendritic growth is computed with automatic adaptation of an anisotropic and u...
International audienceDendritic growth is computed with automatic adaptation of an anisotropic and u...
Abstract. Dendritic growth is a nonlinear process, which falls into the cat-egory of self-organizing...
A two-dimensional finite element model for simulation of dendritic solidification of binary alloys i...
Modeling solidification in the micro-scale is computationally intensive. To overcome this difficulty...
A phase field model is used to numerically simulate the solidification of a pure material. We employ...
A novel adaptive numerical approach is developed for an accurate and computationally efficient phase...
A novel adaptive numerical approach is developed for an accurate and computationally efficient phase...