2009
DOI: 10.1088/0022-3727/42/10/105503
|View full text |Cite
|
Sign up to set email alerts
|

Effect of discretization of permeability term and mesh size on macro- and meso-segregation predictions

Abstract: :Macro-and meso-segregations correspond to heterogeneities of composition at the scale of a casting. They develop during the solidification. One of the parameters that has an essential effect on these segregations is the mush permeability which varies over a wide range of magnitude. We present simulation results for solidification of Sn-Pb alloy in a two-dimensional cavity. The role of discretization schemes and mesh size on the formation of channel segregates and macrosegregation is discussed.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

3
53
0

Year Published

2010
2010
2019
2019

Publication Types

Select...
5
1

Relationship

1
5

Authors

Journals

citations
Cited by 28 publications
(56 citation statements)
references
References 26 publications
(62 reference statements)
3
53
0
Order By: Relevance
“…In the next section, numerical simulations illustrate the contribution of this inertia correction term. For conciseness, the whole solidification model is not presented here and all the details are provided in the following references [3,9,28].…”
Section: Mush Modeled As a Porous Mediummentioning
confidence: 99%
See 4 more Smart Citations
“…In the next section, numerical simulations illustrate the contribution of this inertia correction term. For conciseness, the whole solidification model is not presented here and all the details are provided in the following references [3,9,28].…”
Section: Mush Modeled As a Porous Mediummentioning
confidence: 99%
“…This configuration corresponds to the benchmark problem defined by Hebditch and Hunt [23] where channel segregations were experimentally and numerically observed [3,6,9]. The cavity is cooled from the left side and the remaining three sides are thermally insulated.…”
Section: Figure 2 Schematic Representation Of the Computational Domamentioning
confidence: 99%
See 3 more Smart Citations