Dendrite Growth Model Using Front Tracking Technique with New Growth Algorithm

Nakagawa, Masaki; Natsume, Yukinobu; Ohsasa, Kenichi

doi:10.2355/isijinternational.46.909

Cited by 32 publications

(19 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The description of the capturing algorithm for the new interface cells is shown in reference. 29) The nucleation of equiaxed grains is important for the CET in the weld and determined as a function of the undercooling. A continuous Gaussian nucleation distribution is adopted to relate the nuclear density increase to the increased effective undercooling.…”

Section: The Model Descriptionmentioning

confidence: 99%

Multi-scale Simulation for the Columnar to Equiaxed Transition in the Weld Pool

Han

Dong

et al. 2016

ISIJ Int.

View full text Add to dashboard Cite

The heat and mass transfer behavior and the morphological evolution of the solidification structures in the weld pool were simulated by the multi-scale model which combines the finite element (FE) and the cellular automata (CA) methods to investigate the columnar to equiaxed transition (CET) process during welding. The grain structure evolution within the entire weld and the competitive dendrite growth at different locations were studied to better understand the CET process. The results indicate that with the decrease of the distance to weld center, the undercooled zone width and the maximum undercooling increase. In this case, more equiaxed dendrites form in the undercooled melt, and the distance between the equiaxed dendrites and the columnar front also becomes lager. There is more space for the equiaxed dendrites to grow up and block the columnar dendrites. Therefore, the equiaxed dendrites become more competitive, and the CET tendency increases.

show abstract

Section: The Model Descriptionmentioning

confidence: 99%

Multi-scale Simulation for the Columnar to Equiaxed Transition in the Weld Pool

Han

Dong

et al. 2016

ISIJ Int.

View full text Add to dashboard Cite

show abstract

“…Li et al [17,18] specially dealt with the solute diffusion between CA cells and simulated the morphology evolution of a single equiaxed dendrite of Fe-0.6 wt pct C alloy nucleated at specific undercooling and growing under gradual cooling conditions, accordingly they analyzed the solute distribution, the tip growth velocity, and tip radius of equiaxed dendrites of Fe-0.6 wt pct C alloy. Yamazaki et al [19] utilized the decentered square algorithm, [20] considered the peritectic transformation of peritectic Fe-C alloy, and investigated the growth behavior of the equiaxed dendrite in the melt with constant undercoolings and constant cooling rates, respectively. Li et al [21] adopted a volume average method to avoid tracking the solidification interface directly, meanwhile introduced the approach adjusting the modeling domain size.…”

Section: Introductionmentioning

confidence: 99%

Numerical Simulation of Dendritic Growth of Continuously Cast High Carbon Steel

Wang

Luo

Zhu

2014

Metall Mater Trans A

View full text Add to dashboard Cite

Considering the influence of the latent heat released during the solidification of high carbon liquid steel, a cellular automaton (CA) model coupled with the heat transfer was developed to investigate the growth of equiaxed dendrites which is controlled by the solute diffusion during the continuous casting process. Additionally, the growth of columnar dendrites and primary dendrite arm spacings were predicted and measured. The results show that the CA model is able to describe the growth behavior of equiaxed dendrites, especially at 5 K to 7 K melt undercoolings, and the approach adjusting the cooling medium temperature is reliable to keep the undercooling condition stable for equiaxed dendrites although its hysteresis is reinforced as the pre-set undercooling increases. With the increase of the melt undercooling, the growth of equiaxed dendrites becomes faster, and the thickness of dendritic arms increases slightly, however, the thickness of the diffusion layer in front of dendritic tips keeps constant. The growth of thin and tiny columnar dendrites will be confined due to the competition and absorbed by neighboring strong columnar dendrites, giving rise to the coarsening of columnar dendrites, which is observed both from the experimental observation and the numerical simulation. With the decrease of the cooling intensity, columnar dendrites get sparser, primary dendrite arm spacings increase, and secondary dendritic arms become undeveloped.

show abstract

“…An inherent problem of most FT methods is the anisotropy of growth direction introduced by the shape of the square cells. Present authors proposed a new algorithm 16) which reduces the mesh anisotropy. The front tracking method with this new growth algorithm was used in the present model.…”

Section: Front Tracking Methodsmentioning

confidence: 99%

“…As described in the previous paper, an "interface cell" captured the nearest neighbor liquid cells if the solid fraction of the "interface cell" became certain condition and changed the states of the nearest neighbor liquid cells to "interface cell". 16) …”

Section: (4)mentioning

confidence: 99%