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  4. Critical events, entropy, and the grain boundary character distribution
 
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2011
Journal Article
Title

Critical events, entropy, and the grain boundary character distribution

Abstract
Mesoscale experiment and simulation permit harvesting information about both geometric features and texture in polycrystals. The grain boundary character distribution (GBCD) is an empirical distribution of the relative length [in two dimensions (2D)] or area (in 3D) of an interface with a given lattice misorientation and normal. During the growth process, an initially random distribution of boundary types reaches a steady state that is strongly correlated to the interfacial energy density. In simulation, it is found that if the given energy density depends only on lattice misorientation, then the steady-state GBCD and the energy are related by a Boltzmann distribution. This is among the simplest nonrandom distributions, corresponding to independent trials with respect to the energy. In this paper, we derive an entropy-based theory that suggests that the evolution of the GBCD satisfies a Fokker-Planck equation, an equation whose stationary state is a Boltzmann distributi on. Cellular structures coarsen according to a local evolution law, curvature-driven growth, and are limited by space-filling constraints. The interaction between the evolution law and the constraints is governed primarily by the force balance at triple junctions, the natural boundary condition associated with curvature-driven growth, and determines a dissipation relation. A simplified coarsening model is introduced that is driven by the boundary conditions and reflects the network level dissipation relation of the grain growth system. It resembles an ensemble of inertia-free spring-mass dashpots. Application is made of the recent characterization of Fokker-Planck kinetics as a gradient flow for a free energy in deriving the theory. The theory predicts the results of large-scale two-dimensional simulations and is consistent with experiment.
Author(s)
Barmak, Katayun
Carnegie Mellon Univ.
Eggeling, Eva
Fraunhofer Austria / TU Graz CGV
Emelianenko, Maria
Fraunhofer Austria
Epshteyn, Yekaterina
George Mason Univ.
Kinderlehrer, David
Fraunhofer Austria / TU Graz CGV
Sharp, Richard
Univ.
Ta'asan, Shlomo
Fraunhofer Austria / TU Graz CGV of Utah
Journal
Physical Review. B  
Open Access
DOI
10.1103/PhysRevB.83.134117
Language
English
Fraunhofer AUSTRIA  
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Keyword(s)
  • coarsening

  • large scale simulation

  • texture

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