2007
DOI: 10.1140/epjst/e2007-00242-4
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Computation of solidification problems with hydrodynamic convection resolving energetic anisotropies at the microscale quantitatively

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Cited by 3 publications
(3 citation statements)
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“…It is also clear that under gravity, natural convection can substantially influence the growth process and the features of the resulting pattern [2,14,[17][18][19]. Numerical simulations of dendritic growth under the influence of convection for a pure substance have been performed in diverse geometries [6,14,19,20] and both with imposed flows and natural convection [2,14,17,19,21,22]. For binary alloys much less has been done [2,14] and many aspects of such processes still have to be investigated.…”
Section: Dendritic Growth Under the Influence Of Convectionmentioning
confidence: 99%
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“…It is also clear that under gravity, natural convection can substantially influence the growth process and the features of the resulting pattern [2,14,[17][18][19]. Numerical simulations of dendritic growth under the influence of convection for a pure substance have been performed in diverse geometries [6,14,19,20] and both with imposed flows and natural convection [2,14,17,19,21,22]. For binary alloys much less has been done [2,14] and many aspects of such processes still have to be investigated.…”
Section: Dendritic Growth Under the Influence Of Convectionmentioning
confidence: 99%
“…As part of the optimization/implementation procedure we compute Equation (21) for p and p only and use the fact that p L ¼ 1 À p À p to identify the liquid phase.…”
Section: Description Of the Modelmentioning
confidence: 99%
“…, 2000; Emmerich, 2009). In particular, it proved to be a very powerful approach for studying front evolution problems – as in growing veins – under multiphysical influences (Emmerich, 2003b; Emmerich & Siquieri, 2006), often accompanied by the formation of several distinct phases (Emmerich & Siquieri, 2006; Siquieri et al. , 2007) or grains of multiple orientations (Assadi, 2004; Hubert & Emmerich, 2005) and interactions of different governing mechanisms over several time and length scales (Emmerich et al.…”
Section: Numerical Implementation Of the Modelmentioning
confidence: 99%