A highly efficient 3D level-set grain growth algorithm tailored for ccNUMA architecture

Autor: Mießen, Christian, Velinov, Nikola, Gottstein, Günter, Barrales-Mora, Luis A.
Rok vydání: 2017
Předmět:
Druh dokumentu: Working Paper
DOI: 10.1088/1361-651X/aa8676
Popis: A highly efficient simulation model for 2D and 3D grain growth and recrystallization was developed based on the level-set method. The model introduces modern computational concepts to achieve excellent performance on parallel computer architectures. Strong scalability was measured on ccNUMA architectures. To achieve this, the proposed approach considers the application of local level-set functions at the grain level. Ideal and non-ideal grain growth was simulated in 3D with the objective to study the evolution of statistical representative volume elements in polycrystals. In addition, microstructure evolution in an anisotropic magnetic material affected by an external magnetic field was simulated.
Databáze: arXiv
Popis
Abstrakt:A highly efficient simulation model for 2D and 3D grain growth and recrystallization was developed based on the level-set method. The model introduces modern computational concepts to achieve excellent performance on parallel computer architectures. Strong scalability was measured on ccNUMA architectures. To achieve this, the proposed approach considers the application of local level-set functions at the grain level. Ideal and non-ideal grain growth was simulated in 3D with the objective to study the evolution of statistical representative volume elements in polycrystals. In addition, microstructure evolution in an anisotropic magnetic material affected by an external magnetic field was simulated.
DOI:10.1088/1361-651X/aa8676