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@PHDTHESIS{Mieen:709678,
      author       = {Mießen, Christian},
      othercontributors = {Gottstein, Günter and Melcher, Christof and Bleck,
                          Wolfgang},
      title        = {{A} massive parallel simulation approach to 2{D} and 3{D}
                      grain growth},
      school       = {Rheinisch-Westfälische Technische Hochschule Aachen},
      type         = {Dissertation},
      address      = {Aachen},
      reportid     = {RWTH-2017-10148},
      pages        = {1 Online-Ressource (v, 142 Seiten) : Illustrationen},
      year         = {2017},
      note         = {Veröffentlicht auf dem Publikationsserver der RWTH Aachen
                      University 2018; Dissertation, Rheinisch-Westfälische
                      Technische Hochschule Aachen, 2017},
      abstract     = {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.},
      cin          = {520000 / 523110},
      ddc          = {620},
      cid          = {$I:(DE-82)520000_20140620$ / $I:(DE-82)523110_20140620$},
      typ          = {PUB:(DE-HGF)11},
      doi          = {10.18154/RWTH-2017-10148},
      url          = {https://publications.rwth-aachen.de/record/709678},
}