2012
DOI: 10.1016/j.actamat.2012.02.055
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Evolution of microstructural length scales during solidification of magnesium alloys

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Cited by 18 publications
(18 citation statements)
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“…The following questions are specially addressed: Previous work242526282930 has confirmed that a morphological transition from degenerate seaweed to tilted dendrite occurs as the thermal gradient is decreased or the pulling velocity is increased. However, the mechanism of this transition and the dynamic characteristics of degenerated seaweed, especially the relationship between the tip-splitting instability and the sidebranching, are relatively less studied.…”
mentioning
confidence: 99%
“…The following questions are specially addressed: Previous work242526282930 has confirmed that a morphological transition from degenerate seaweed to tilted dendrite occurs as the thermal gradient is decreased or the pulling velocity is increased. However, the mechanism of this transition and the dynamic characteristics of degenerated seaweed, especially the relationship between the tip-splitting instability and the sidebranching, are relatively less studied.…”
mentioning
confidence: 99%
“…This evolution is characterized by plateau-like regions of constant primary spacing that are observed experimentally [90], which can be related to the hysteretic nature of the dynamical selection of the spacing as a function of pulling velocity [61]. Adding the effect of repulsive grain boundaries [109], they investigated grain boundary coalescence at high solid fraction, the formation of highly segregated liquid pools, and the evolution of solid connectivity during late stage solidification [60,102].…”
Section: Intragrain Microstructure Selectionmentioning
confidence: 95%
“…Dynamic (adaptive) remeshing techniques for PF calculations [117] -also applicable to atomistic phase-field-crystal calculations [6] -allow efficient simulations up to the scale of an entire dendritic array. Resulting simulations have shed light on several microstructure selection mechanisms [3,61,4,109,60,102], and have been coupled to larger-scale heat transfer models and probabilistic nucleation models to predict microstructure distribution in processes such as laser powder deposition [44] and welding [103].…”
Section: Computationally Intensive Phase-field Implementationsmentioning
confidence: 99%
“…[103][104][105][106][107] A cusp interface energy model 108,109) has also been used to treat the facet and a high-anisotropy kinetic coefficient 110,111) has been modeled. Recently, dendrite growth simulations have been performed both in the 2D [112][113][114] and 3D 115,116) spaces for materials with the hexagonal close-packed structure, such as Mg alloys, which are the lightest metallic materials, and therefore, very important as future industrial materials.…”
Section: Interface Anisotropymentioning
confidence: 99%