Fast and accurate adaptive finite difference method for dendritic growth

Darae Jeong, Junseok Kim

Research output: Contribution to journalArticle

Abstract

We propose a fast and accurate adaptive numerical method for solving a phase-field model for dendritic growth. The phase-field model for dendritic growth consists of two equations. One is for capturing the interface between solid and melt. The other is for the temperature distribution. For the phase-field equation, we apply a hybrid explicit method on a time-dependent narrow-band domain, which is defined using the phase-field function. For the temperature equation, we apply the explicit Euler method on the whole computational domain. The novelties of the proposed numerical algorithm are that it is very simple and that it does not require the conventional complex adaptive data structures. Our numerical simulation results are consistent with previous results. Furthermore, the computational time required (CPU time) is shorter.

Original languageEnglish
JournalComputer Physics Communications
DOIs
Publication statusAccepted/In press - 2018 Jan 1

Fingerprint

Finite difference method
Data structures
Numerical methods
Temperature distribution
data structures
narrowband
Computer simulation
temperature distribution
Temperature
simulation
temperature

Keywords

  • Adaptive numerical method
  • Crystal morphology
  • Dendritic growth
  • Growth from melt
  • Phase-field model
  • Solidification

ASJC Scopus subject areas

  • Hardware and Architecture
  • Physics and Astronomy(all)

Cite this

Fast and accurate adaptive finite difference method for dendritic growth. / Jeong, Darae; Kim, Junseok.

In: Computer Physics Communications, 01.01.2018.

Research output: Contribution to journalArticle

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