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

AIT Austrian Institute of Technology GmbH, Wiener Neustadt

Research output: Contribution to journal › Conference article › peer-review

1 Citation (Scopus)

Original language	English
Article number	012028
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 - 17 Jun 2019
Event	Joint 5th International Conference on Advances in Solidification Processes, ICASP 2019 and 5th International Symposium on Cutting Edge of Computer Simulation of Solidification, Casting and Refining, CSSCR 2019 - Salzburg, Austria Duration: 17 Jun 2019 → 21 Jun 2019

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

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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",

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language = "English",

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

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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 - 2019/6/17

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

M3 - Conference article

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SN - 1757-8981

VL - 529

JO - IOP Conference Series: Materials Science and Engineering

JF - IOP Conference Series: Materials Science and Engineering

IS - 1

M1 - 012028

T2 - Joint 5th International Conference on Advances in Solidification Processes, ICASP 2019 and 5th International Symposium on Cutting Edge of Computer Simulation of Solidification, Casting and Refining, CSSCR 2019

Y2 - 17 June 2019 through 21 June 2019

ER -

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

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