Efficient model for the prediction of dendritic grain growth using the lattice Boltzmann method coupled with a cellular automaton algorithm
Publikationen: Beitrag in Fachzeitschrift › Konferenzartikel › (peer-reviewed)
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in: IOP Conference Series: Materials Science and Engineering, Jahrgang 529, Nr. 1, 012028, 17.06.2019.
Publikationen: Beitrag in Fachzeitschrift › Konferenzartikel › (peer-reviewed)
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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 - 2019/6/17
Y1 - 2019/6/17
UR - http://www.scopus.com/inward/record.url?scp=85067866344&partnerID=8YFLogxK
U2 - 10.1088/1757-899X/529/1/012028
DO - 10.1088/1757-899X/529/1/012028
M3 - Conference article
AN - SCOPUS:85067866344
VL - 529
JO - IOP Conference Series: Materials Science and Engineering
JF - IOP Conference Series: Materials Science and Engineering
SN - 1757-8981
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 -
