Saved in:
| Main Authors: | , |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2412.21143 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866915085529645056 |
|---|---|
| author | Moeinirad, Ali Amani, Ehsan |
| author_facet | Moeinirad, Ali Amani, Ehsan |
| contents | Recently, a new alloy solidification benchmark, called AFRODITE, with well-defined setups and state-of-the-art measurements has emerged, enabling a thorough assessment of MacroSegregation (MS) solvers, particularly in terms of their ability to predict different features of MS maps. In this research, we first develop an analytical solution for the alloy-solidification Stefan problem, which involves melt, solid, and mushy regions. This new analytical solution extends a previous solution (S. Cho and J. Sunderland, "Heat-conduction problems with melting or freezing", J. Heat Transfer, vol. 91, pp. 421-426, 1969) by incorporating a linear microsegregation law as a function of temperature in place of spatial coordinate. Then, we adopt this solution to verify an OpenFOAM MS solver in a limiting condition, where only heat diffusion is present. Subsequently, to capture the MS map of the Sn-3%Pb AFRODITE benchmark, the solver is incorporated using the standard Blake-Kozeny-Carman permeability law and one of its hybrid variants, slightly modified in this work to better align with physics by ensuring a continuous transition of characteristics from the slurry to the porous regions of the mush. It is demonstrated that the hybrid model predicts the main features of the MS map, including the channel segregates morphology and peak segregation degree due to the pile-up effect, in much finer agreement with the experimental observation. Careful analyses of the results reveal that these improved predictions stem from the hybrid model's more accurate estimation of the re-melting, melt flow advection parallel, and advection normal to the solidification front. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2412_21143 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Systematic Benchmarking of Macrosegregation: The Performance of a Modified Hybrid Model Moeinirad, Ali Amani, Ehsan Fluid Dynamics Computational Physics Recently, a new alloy solidification benchmark, called AFRODITE, with well-defined setups and state-of-the-art measurements has emerged, enabling a thorough assessment of MacroSegregation (MS) solvers, particularly in terms of their ability to predict different features of MS maps. In this research, we first develop an analytical solution for the alloy-solidification Stefan problem, which involves melt, solid, and mushy regions. This new analytical solution extends a previous solution (S. Cho and J. Sunderland, "Heat-conduction problems with melting or freezing", J. Heat Transfer, vol. 91, pp. 421-426, 1969) by incorporating a linear microsegregation law as a function of temperature in place of spatial coordinate. Then, we adopt this solution to verify an OpenFOAM MS solver in a limiting condition, where only heat diffusion is present. Subsequently, to capture the MS map of the Sn-3%Pb AFRODITE benchmark, the solver is incorporated using the standard Blake-Kozeny-Carman permeability law and one of its hybrid variants, slightly modified in this work to better align with physics by ensuring a continuous transition of characteristics from the slurry to the porous regions of the mush. It is demonstrated that the hybrid model predicts the main features of the MS map, including the channel segregates morphology and peak segregation degree due to the pile-up effect, in much finer agreement with the experimental observation. Careful analyses of the results reveal that these improved predictions stem from the hybrid model's more accurate estimation of the re-melting, melt flow advection parallel, and advection normal to the solidification front. |
| title | Systematic Benchmarking of Macrosegregation: The Performance of a Modified Hybrid Model |
| topic | Fluid Dynamics Computational Physics |
| url | https://arxiv.org/abs/2412.21143 |