2023
DOI: 10.1007/s10883-023-09642-4
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Existence of Optimal Control for Dirichlet Boundary Optimization in a Phase Field Problem

Abstract: Phase field modeling finds utility in various areas. In optimization theory in particular, the distributed control and Neumann boundary control of phase field models have been investigated thoroughly. Dirichlet boundary control in parabolic equations is commonly addressed using the very weak formulation or an approximation by Robin boundary conditions. In this paper, the Dirichlet boundary control for a phase field model with a non-singular potential is investigated using the Dirichlet lift technique. The corr… Show more

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Cited by 2 publications
(4 citation statements)
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“…The resulting term required further treatment by the Σ limiter (34) to maintain the shape of the thin diffuse interface for larger values of the initial supercooling Δu ini , which gave rise to the ΣP1-P model. Unlike the GradP model, the ΣP1-P model in its isotropic form is compatible with the numerical analysis performed in our related work [43], which provides theoretical justification of the proper function of the implemented finite volume-based numerical solvers. However, the Σ limiter can also be incorporated into the original GradP and φ 0 GradP models.…”
Section: Discussionsupporting
confidence: 61%
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“…The resulting term required further treatment by the Σ limiter (34) to maintain the shape of the thin diffuse interface for larger values of the initial supercooling Δu ini , which gave rise to the ΣP1-P model. Unlike the GradP model, the ΣP1-P model in its isotropic form is compatible with the numerical analysis performed in our related work [43], which provides theoretical justification of the proper function of the implemented finite volume-based numerical solvers. However, the Σ limiter can also be incorporated into the original GradP and φ 0 GradP models.…”
Section: Discussionsupporting
confidence: 61%
“…We take advantage of this flexibility and propose a new variant of the reaction term. The resulting model is compatible with the numerical analysis performed in our paper [43] for the finite volume method (as long as anisotropy is not considered) and it also achieves a very good quantitative agreement with experiments in the numerically difficult case of rapid solidification. In a number of simulations, we compare the behavior of the discussed models.…”
Section: Introductionsupporting
confidence: 73%
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