Efficient model for the prediction of dendritic grain growth using the lattice Boltzmann method coupled with a cellular automaton algorithm

Stephan Jäger; Andreas Ludwig

doi:10.1088/1757-899X/529/1/012028

Efficient model for the prediction of dendritic grain growth using the lattice Boltzmann method coupled with a cellular automaton algorithm

Stephan Jäger, Andreas Ludwig

LKR Light Metals Technologies

Research output: Contribution to journal › Article › peer-review

Original language	English
Number of pages	1
Journal	IOP Conference Series: Materials Science and Engineering
Volume	529
Issue number	1
DOIs	https://doi.org/10.1088/1757-899X/529/1/012028
Publication status	Published - 2019

Research Field

Numerical Simulation of Lightweight Components and Processes

Access to Document

10.1088/1757-899X/529/1/012028Licence: Unspecified

Cite this

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title = "Efficient model for the prediction of dendritic grain growth using the lattice Boltzmann method coupled with a cellular automaton algorithm",

author = "Stephan J{\"a}ger and Andreas Ludwig",

year = "2019",

doi = "10.1088/1757-899X/529/1/012028",

language = "English",

volume = "529",

journal = "IOP Conference Series: Materials Science and Engineering",

issn = "1757-8981",

publisher = "IOP Publishing Ltd.",

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T1 - Efficient model for the prediction of dendritic grain growth using the lattice Boltzmann method coupled with a cellular automaton algorithm

AU - Jäger, Stephan

AU - Ludwig, Andreas

PY - 2019

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DO - 10.1088/1757-899X/529/1/012028

M3 - Article

SN - 1757-8981

VL - 529

JO - IOP Conference Series: Materials Science and Engineering

JF - IOP Conference Series: Materials Science and Engineering

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