2017
DOI: 10.1590/1980-5373-mr-2016-0194
|View full text |Cite
|
Sign up to set email alerts
|

Phase-Field Simulation of Microsegregation and Dendritic Growth During Solidification of Hypoeutectic Al-Cu alloys

Abstract: Prediction of microstructure evolution and microsegregation is one of the most important problems in materials science. The dendritic growth and microsegregation provide a challenging simulation goal for computational models of solidification, in addition to being an important technological feature of many casting processes. The phase-field model offers the prospect of being able to perform realistic simulation experiments on dendrite growth in metallic systems. In this paper, the microsegregation and dendriti… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

0
9
0
2

Year Published

2019
2019
2024
2024

Publication Types

Select...
8

Relationship

4
4

Authors

Journals

citations
Cited by 20 publications
(11 citation statements)
references
References 22 publications
0
9
0
2
Order By: Relevance
“…In addition to solid back-diffusion, there is another phenomenon denominated: solidification kinetics must be considered, as far as it can influence microsegregation profiles. Although the influence of thermal variables, such as temperature gradient and cooling rate on the dendritic arm spacings has been studied, the literature still is scarce on research about the effects of solidification speed on the microsegregation profiles, Ferreira et al 4 , Baptista et al 16 and Baptista et al 19 . An equation for effective partition coefficient (k ef ) as a function of the solidification speed (S S ), was proposed by Burton et al 27 , eq.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…In addition to solid back-diffusion, there is another phenomenon denominated: solidification kinetics must be considered, as far as it can influence microsegregation profiles. Although the influence of thermal variables, such as temperature gradient and cooling rate on the dendritic arm spacings has been studied, the literature still is scarce on research about the effects of solidification speed on the microsegregation profiles, Ferreira et al 4 , Baptista et al 16 and Baptista et al 19 . An equation for effective partition coefficient (k ef ) as a function of the solidification speed (S S ), was proposed by Burton et al 27 , eq.…”
Section: Methodsmentioning
confidence: 99%
“…The effect of microsegregation on casting quality has been investigated over the decades by theoretical and experimental models [4][5][6][7][8][9][10][11][12][13][14][15][16] . Ferreira et al 4 used a numerical model to the prediction of microsegregation and dendritic arm spacing during solidification of hypoeutectic Al-Cu alloys. It is shown by performing comparisons between experimental microsegregation results and theoretical models with equilibrium partition coefficient, a reasonable agreement between them.…”
Section: Introductionmentioning
confidence: 99%
“…Pode-se perceber que, conforme a Figura 3b, notaram-se grãos colunares com uma direcionalidade no sentido vertical, atestando a eficácia da extração de calor no processo de solidificação, conforme em outros estudos (MEZA, 2012;RODRIGUES et al, 2014;BAPTISTA et al, 2018;FERREIRA et al, 2017;BOEIRA, 2006). Observou-se também uma leve inclinação que pode ser causada por perturbações mecânicas externas durante a solidificação, de acordo com Garcia (2007).…”
Section: Mapeamento Do Perfil Térmico Do Lingote E Macroestruturaunclassified
“…, 2007;FERREIRA et al, 2017. Na Figura 12, é apresentado o perfil de concentração de soluto no sólido (Cs) em função da fração sólida (fs) pela equação experimental, considerando-se as posições de 5, 40 e 80 mm.…”
unclassified
“…The segregation has gotten the attention of researchers for many years [2][3][4][5] . However, the physical and chemical processes involved are highly complex and have always been an obstacle for modeling.…”
Section: Introductionmentioning
confidence: 99%