2001
DOI: 10.4171/ifb/34
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The Cahn-Hilliard equation with elasticity-finite element approximation and qualitative studies

Abstract: We consider the Cahn-Hilliard equation-a fourth-order, nonlinear parabolic diffusion equation describing phase separation of a binary alloy which is quenched below a critical temperature. The occurrence of two phases is due to a nonconvex double well free energy. The evolution initially leads to a very fine microstructure of regions with different phases which tend to become coarser at later times.The resulting phases might have different elastic properties caused by a different lattice spacing. This effect is… Show more

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Cited by 39 publications
(42 citation statements)
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“…In this article, we concentrate on extending the Cahn-Larché model. The system with linear elasticity was mainly studied in [48][49][50][51]. Finally, up-to-date numerics and references to computational methods for the CH model can be found in [52].…”
Section: A Recent Two-scale Approach To Modelling Coarsening (A) Histmentioning
confidence: 99%
“…In this article, we concentrate on extending the Cahn-Larché model. The system with linear elasticity was mainly studied in [48][49][50][51]. Finally, up-to-date numerics and references to computational methods for the CH model can be found in [52].…”
Section: A Recent Two-scale Approach To Modelling Coarsening (A) Histmentioning
confidence: 99%
“…The discrete solution at time t n is denoted by (c h n , w h n , u h n ). The resulting numerical scheme has been analyzed in [GRW01,GW05]. In [GRW01] optimal error estimates have been shown in the case that C does not depend on the concentration (homogeneous elasticity).…”
Section: Numerical Approximation Of the Cahn-larché Systemmentioning
confidence: 99%
“…This process happens on a very short time scale and the regions with different phases have sizes which are given by a small length scale. If the elasticity tensor or the eigenstrains are anisotropic, one will observe that the phase regions orientate themself in certain directions (see [GMW03], [GRW01]) for numerical simulations). We will now describe how one can make these observations quantitative.…”
Section: Spinodal Decompositionmentioning
confidence: 99%
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