Monte Carlo simulation of microstructure evolution based on grain boundary character distribution

Lee, H.N.; Ryoo, H. S.; Hwang, Seongpil

doi:10.1016/s0921-5093(99)00725-x

Cited by 30 publications

(12 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Thus, the growth kinetics of both columnar and equiaxed microstructures can be calculated with the aid of the KGT model. 23) In the actual simulation process, in order to accelerate the computation course, the KGT model is fitted and the following equation is gained. 24) vðÁT…”

Section: Growth Kinetics Model Of Dendrite Tipmentioning

confidence: 99%

Numerical Simulation of Solidification Structures of Ag–28Cu–1Ni Alloy through Continuous Casting Based on Three-Dimensional CAFE Method

et al. 2020

View full text Add to dashboard Cite

Microstructure evolution of Ag28Cu1Ni alloy during the continuous casting process was simulated based on 3D-CAFE method, and the effect of the mean nucleation undercooling and the distance from the bottom of the ingot to the cross section on the solidification structure were studied. Furthermore, the effects of pouring temperature, heat transfer coefficient and pulling speed on solidification structure were also investigated. The results show that the simulated results are in agreement with the experimental results. The solidification structure consists of four parts, including region of surface fine grain, zone of columnar grain, transition zone of CET (columnar to equiaxed grain transition) and region of center equiaxed grain. The higher the mean undercooling, the larger the columnar dendrite zone. The ¦T v,max = 5 K is determined as an important simulation parameter to simulate the microstructure evolution. As the cross-section increases from the bottom of the ingot, the columnar crystal regions gradually expand. Moreover, lowering the pouring temperature, increasing the heat transfer coefficient or improving the pulling speed have the beneficial effect on grain refinement. Under the optimal process conditions, the largest proportion of equiaxed grains and the finer grain size is present in the solidified structure.

show abstract

Section: Growth Kinetics Model Of Dendrite Tipmentioning

confidence: 99%

Numerical Simulation of Solidification Structures of Ag–28Cu–1Ni Alloy through Continuous Casting Based on Three-Dimensional CAFE Method

et al. 2020

View full text Add to dashboard Cite

show abstract

“…Therefore, the calculation model can be simplified in the calculation. That is to say, the growth kinetics models of equiaxed crystals and columnar crystals can be calculated using KGT model [24]. In addition, in order to speed up the calculation process, the KGT model was fitted and the following equation was obtained [25]:…”

Section: Growth Kinetics Model Of Dendrite Tipmentioning

confidence: 99%

Simulation of temperature field, flow field and solidification structure for Ag–28Cu–2Ge–0.4Co alloy

Fang

Xie

et al. 2020

Materials Science and Technology

View full text Add to dashboard Cite

The temperature field, flow field and solidification structure of Ag–28Cu–2Ge–0.4Co alloy during solidification under water cooling, air cooling and slow cooling conditions were investigated, respectively. The results indicate that the temperature distribution is the most uniform and the solid–liquid phase region is the widest under slow cooling condition. The temperature gradient at the solidification front is the largest under water cooling condition. The solidification rate increases with the distance away from the sidewall under three cooling conditions. Under water-cooled conditions, the liquid flow at the front of the liquidus is much smaller than that in the other two conditions. The ratio of equiaxed crystals and columnar crystals in the solidified structure is different under different cooling conditions.

show abstract

“…The anisotropic GBE led to a larger grain size compared to the isotropic case. 16 Furthermore, the curved grain boundary 17 and the grain-boundary mobility 18,19 should be considered to describe a more realistic three-dimensional thinfilm system. This type of three-dimensional grain growth and texture is applicable 970 Park, Han, Kim, Park, and Lee abnormal growth behavior of the ordered phase was observed.…”

Section: Effect Of Grain-boundary Energymentioning

confidence: 99%

Three-dimensional monte-carlo simulation of grain growth in Pt-Co thin film

Park

Han

Kim

et al. 2002

Journal of Elec Materi

View full text Add to dashboard Cite

Monte Carlo simulation of microstructure evolution based on grain boundary character distribution

Cited by 30 publications

References 24 publications

Numerical Simulation of Solidification Structures of Ag–28Cu–1Ni Alloy through Continuous Casting Based on Three-Dimensional CAFE Method

Numerical Simulation of Solidification Structures of Ag–28Cu–1Ni Alloy through Continuous Casting Based on Three-Dimensional CAFE Method

Simulation of temperature field, flow field and solidification structure for Ag–28Cu–2Ge–0.4Co alloy

Three-dimensional monte-carlo simulation of grain growth in Pt-Co thin film

Contact Info

Product

Resources

About