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000709678 001__ 709678
000709678 005__ 20251022125946.0
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000709678 0247_ $$2Laufende Nummer$$a36760
000709678 0247_ $$2datacite_doi$$a10.18154/RWTH-2017-10148
000709678 037__ $$aRWTH-2017-10148
000709678 041__ $$aEnglish
000709678 082__ $$a620
000709678 1001_ $$0P:(DE-588)1149479760$$aMießen, Christian$$b0$$urwth
000709678 245__ $$aA massive parallel simulation approach to 2D and 3D grain growth$$cvorgelegt von Dipl.-Math. Christian Mießen$$honline
000709678 260__ $$aAachen$$c2017
000709678 260__ $$c2018
000709678 300__ $$a1 Online-Ressource (v, 142 Seiten) : Illustrationen
000709678 3367_ $$02$$2EndNote$$aThesis
000709678 3367_ $$0PUB:(DE-HGF)11$$2PUB:(DE-HGF)$$aDissertation / PhD Thesis$$bphd$$mphd
000709678 3367_ $$2BibTeX$$aPHDTHESIS
000709678 3367_ $$2DRIVER$$adoctoralThesis
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000709678 500__ $$aVeröffentlicht auf dem Publikationsserver der RWTH Aachen University 2018
000709678 502__ $$aDissertation, Rheinisch-Westfälische Technische Hochschule Aachen, 2017$$bDissertation$$cRheinisch-Westfälische Technische Hochschule Aachen$$d2017$$gFak05$$o2017-11-06
000709678 5203_ $$aonline nicht verfügbar$$lger
000709678 520__ $$aA 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.$$leng
000709678 588__ $$aDataset connected to Lobid/HBZ
000709678 591__ $$aGermany
000709678 653_7 $$agrain growth
000709678 653_7 $$alarge scale simulation
000709678 653_7 $$alevel-set
000709678 653_7 $$amagnetically driven grain boundary motion
000709678 653_7 $$aparallelization
000709678 653_7 $$arecrystallization
000709678 7001_ $$0P:(DE-82)000336$$aGottstein, Günter$$b1$$eThesis advisor
000709678 7001_ $$0P:(DE-82)IDM00070$$aMelcher, Christof$$b2$$eThesis advisor
000709678 7001_ $$0P:(DE-82)IDM00232$$aBleck, Wolfgang$$b3$$eThesis advisor
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000709678 9201_ $$0I:(DE-82)520000_20140620$$k520000$$lFachgruppe für Materialwissenschaft und Werkstofftechnik$$x1
000709678 9201_ $$0I:(DE-82)523110_20140620$$k523110$$lLehrstuhl für Werkstoffphysik und Institut für Metallkunde und Metallphysik$$x0
000709678 961__ $$c2018-01-19T12:16:20.745294$$x2017-11-30T12:52:52.966623$$z2018-01-19T12:16:20.745294
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