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

Publikation: Beitrag in Fachzeitschrift › Artikel › Begutachtung

Originalsprache	Englisch
Seitenumfang	1
Fachzeitschrift	IOP Conference Series: Materials Science and Engineering
Volume	529
Issue	1
DOIs	https://doi.org/10.1088/1757-899X/529/1/012028
Publikationsstatus	Veröffentlicht - 2019

Research Field

Numerical Simulation of Lightweight Components and Processes

Zugriff auf Dokument

10.1088/1757-899X/529/1/012028Lizenz: Nicht angegeben

Diese Publikation zitieren

@article{6eadd4945f1049a78d526d8f91087a62,

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.",

number = "1",

}

TY - JOUR

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

Y1 - 2019

U2 - 10.1088/1757-899X/529/1/012028

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

IS - 1

ER -