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

Biomedical Systems

Publikation: Beitrag in Fachzeitschrift › Konferenzartikel › Begutachtung

1 Zitat (Scopus)

Originalsprache	Englisch
Aufsatznummer	012028
Fachzeitschrift	IOP Conference Series: Materials Science and Engineering
Jahrgang	529
Ausgabenummer	1
DOIs	https://doi.org/10.1088/1757-899X/529/1/012028
Publikationsstatus	Veröffentlicht - 17 Juni 2019
Veranstaltung	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, Österreich Dauer: 17 Juni 2019 → 21 Juni 2019

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

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AU - Ludwig, Andreas

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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

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