2003
DOI: 10.1103/physrevlett.91.155502
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Seaweed to Dendrite Transition in Directional Solidification

Abstract: We simulate directional solidification using a phase-field model solved with adaptive mesh refinement. For small surface tension anisotropy directed at 45 relative to the pulling direction we observe a crossover from a seaweed to a dendritic morphology as the thermal gradient is lowered, consistent with recent experimental findings. We show that the morphology of crystal structures can be unambiguously characterized through the local interface velocity distribution. We derive semiempirically an estimate for th… Show more

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Cited by 46 publications
(44 citation statements)
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“…The compositions of the solid and liquid are therefore given by the equilibrium phase diagram, whose liquidus and solidus curves are written in functional form as T liq (C ' ) and T sol (C s ), respectively. Most numerical simulations of directional solidification in the literature have used an idealized version of the phase diagram [11,45] where the liquidus and solidus curves are linearized. In our formulation, the concentration fields in the solid and the liquid phases are solved separately, coupled only by a boundary condition on the flux.…”
Section: Level Set Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…The compositions of the solid and liquid are therefore given by the equilibrium phase diagram, whose liquidus and solidus curves are written in functional form as T liq (C ' ) and T sol (C s ), respectively. Most numerical simulations of directional solidification in the literature have used an idealized version of the phase diagram [11,45] where the liquidus and solidus curves are linearized. In our formulation, the concentration fields in the solid and the liquid phases are solved separately, coupled only by a boundary condition on the flux.…”
Section: Level Set Methodsmentioning
confidence: 99%
“…The formulation ensures that the diffuse interface remains thin [11,16,25,26,41,45]. Proper selection of the constants in the phase-field free energy ensures that the phase-field model converges to the sharp interface model when operated in the appropriate limits [26].…”
Section: Introductionmentioning
confidence: 99%
“…This increases by many orders of magnitude the size of the physical domain that can be modeled, and slaves the simulation time to the interface arclength and not the physical domain. The combination of such multi-scale numerical methods and advanced asymptotic approaches has now made it possible to compare phase field simulations to metallurgically relevant systems and conditions [8,18,19].…”
Section: Introductionmentioning
confidence: 99%
“…[13][14][15][16][17] These methods have been instrumental in making the phase-field method a viable tool for quantitative modeling of microstructural evolution, especially when coupled with adaptive mesh refinement algorithms, 18,19 opening up a new window to truly multiscale computation of microstructure evolution. [20][21][22][23][24] A limitation of traditional phase-field models is that they are formulated in terms of fields that are spatially uniform in equilibrium. This precludes most physical phenomena that arise from the periodic symmetries inherent in crystalline phases, including elastic and plastic deformation, anisotropy, and multiple grain orientations.…”
Section: Phase-field Modelsmentioning
confidence: 99%