A 3D probabilistic cellular automaton for the simulation of recrystallization 
and grain growth phenomena

Raabe, D.

アイテム詳細

登録内容を編集ファイル形式で保存

一時保存へ追加

タグ情報を表示リリース履歴を表示詳細要約

公開

報告書

A 3D probabilistic cellular automaton for the simulation of recrystallization and grain growth phenomena

MPS-Authors

/persons/resource/persons125330

Raabe, D.
Microstructure Physics and Alloy Design, Max-Planck-Institut für Eisenforschung GmbH, Max Planck Society;

External Resource

There are no locators available

Fulltext (restricted access)

There are currently no full texts shared for your IP range.

フルテキスト (公開)

CA_simulation_RX_GG_Raabe.pdf
(全文テキスト（全般）), 573KB

付随資料 (公開)

There is no public supplementary material available

引用

Raabe, D.(2004). A 3D probabilistic cellular automaton for the simulation of recrystallization and grain growth phenomena. München, Germany: Max-Planck-Society.

引用: https://hdl.handle.net/11858/00-001M-0000-0019-66B1-0

要旨

This MPG progress report presents applications of a 3D stochastic cellular automaton model for the spatial, kinetic, and crystallographic simulation of mesoscale transformation phenomena that involve non-conserved structural field variables and the motion of sharp interfaces, such as encountered in the fields of recrystallization and grain growth. The automaton is discrete in time, physical space, and orientation space. It is defined on a 3D cubic lattice considering the first, second, and third neighbor shell. The local transformation rule that acts on each lattice site consists of a probabilistic analog of the linearized symmetric Turnbull rate equation for grain boundary segment motion. All possible switches of cells are simultaneously considered using a weighted stochastic sampling integration scheme. The required input parameters are the mobility data for the grain boundaries, the local crystallographic texture, and a local stored energy measure as a function of space.