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TY  - THES
AU  - Mießen, Christian
TI  - A massive parallel simulation approach to 2D and 3D grain growth
PB  - Rheinisch-Westfälische Technische Hochschule Aachen
VL  - Dissertation
CY  - Aachen
M1  - RWTH-2017-10148
SP  - 1 Online-Ressource (v, 142 Seiten) : Illustrationen
PY  - 2017
N1  - Veröffentlicht auf dem Publikationsserver der RWTH Aachen University 2018
N1  - Dissertation, Rheinisch-Westfälische Technische Hochschule Aachen, 2017
AB  - A highly efficient simulation model for 2D and 3D grain growth and recrystallization was developed based on the level-set method. The new model introduces modern computational concepts to achieve excellent performance on parallel computer architectures. Strong scalability was found on ccNUMA architectures underlining maximum parallel efficiency of the implementation. For this purpose, the model considers the application of local level-set functions at the grain level. The model was utilized to simulate ideal and non-ideal grain growth in 2D and 3D with the objective to study the evolution of statistical representative volume elements in polycrystals. The novelty of the proposed level-set approach to grain growth resides in the explicit consideration of structural interfacial elements of the microstructure. The extensions allow to consider anisotropic grain boundary energies and triple junction drag in polycrystalline materials. In addition, microstructure evolution under the influence of secondary driving forces, i.e such as resulting from stored elastic energies or such as occur in anisotropic magnetic materials affected by an external magnetic field, was modeled and simulated considering very large volume elements composed of half a million of grains in 3D. The gain in computational performance is essential to conduct simulation to investigate rare events in microstructure evolution, such as nucleation sites during recrystallization.
LB  - PUB:(DE-HGF)11
DO  - DOI:10.18154/RWTH-2017-10148
UR  - https://publications.rwth-aachen.de/record/709678
ER  -