2004
DOI: 10.1023/b:jmsc.0000048733.96958.c3
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Simulation of equiaxed growth ahead of an advancing columnar front in directionally solidified Ni-based superalloys

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Cited by 23 publications
(16 citation statements)
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“…Columnar grains were observed in the middle and bottom regions of the deposit for all five conditions considered. The grains at the bottom that grew epitaxially from the substrate were comparatively smaller compared to those found in the middle region of the deposit [43,44]. Cooling rates (ε) are considered critical in influencing the microstructural scales formed during solidification [38].…”
Section: Ebsd Mappingmentioning
confidence: 99%
“…Columnar grains were observed in the middle and bottom regions of the deposit for all five conditions considered. The grains at the bottom that grew epitaxially from the substrate were comparatively smaller compared to those found in the middle region of the deposit [43,44]. Cooling rates (ε) are considered critical in influencing the microstructural scales formed during solidification [38].…”
Section: Ebsd Mappingmentioning
confidence: 99%
“…In 1984, Hunt developed the fi rst CET model [2] . Since then, many numeric models have been developed to predict the CET during the solidifi cation of alloys [3][4][5][6][7][8][9][10][11][12][13][14][15] . Hunt's model assumed that the equiaxed grains can nucleate and grow in the undercooled region in front of columnar dendrites.…”
Section: School Of Materials Science and Engineering Shenyang Ligongmentioning
confidence: 99%
“…Gandin and Rappaz [7] first predicted the dendritic grain structures in solidifi cation processes by a fully coupled finite element-cellular automaton model (CAFE). Dong and Lee [8,9] developed a cellular automaton model coupled with fi nite diff erence method (CAFD) to simulate the CET during the solidification of an Al-3wt.%Cu alloy. The simulated results were in agreement with experimental observations.…”
Section: School Of Materials Science and Engineering Shenyang Ligongmentioning
confidence: 99%
“…Although the model was later extended to solve an unsteady temperature field and to track the position of the columnar front explicitly by a parabolic velocity-undercooling relation, etc., [4,5] and still later improved to include a more precise dendrite growth model and to consider the concentration profile ahead of the columnar tip front, [6] it is still far from being able to predict the CET for real casting processes. Recent advancements of numerical CET models available at the process scale can be classified according to the type of modeling approach: [7][8][9][10][11][12] stochastic or deterministic. According to Reference 7, the stochastic approach, i.e., the cellular automaton model coupled with macroscopic thermal or solute fields, has the advantage of modeling the details of the columnar and equiaxed morphologies, while the deterministic approach embodies the physical mechanisms involved in the solidification process, especially in regard to convection and grain transport.…”
Section: Introductionmentioning
confidence: 99%