2021
DOI: 10.1016/j.commatsci.2021.110658
|View full text |Cite
|
Sign up to set email alerts
|

Multi-phase-field lattice Boltzmann model for polycrystalline equiaxed solidification with motion

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

0
20
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
7

Relationship

1
6

Authors

Journals

citations
Cited by 20 publications
(20 citation statements)
references
References 57 publications
0
20
0
Order By: Relevance
“…24,25) Graphics processing unit (GPU) computing is suitable for PF simulations. [26][27][28] We developed parallel computing schemes using multiple GPUs of dendrite growth PF simulations in purely diffusive conditions, [29][30][31][32] with liquid flow 33,34) and solid motion 35,36) by coupling the PF and lattice Boltzmann (PF-LB) method. 37,38) To enable dendrite growth PF simulations in a much larger domain, we developed parallel computing in multiple GPUs with dynamic load balancing for the block-structured AMR scheme (parallel-GPU AMR) for purely diffusive growth 39) and growth with liquid flow and solid motion.…”
Section: Natural Convection On Dendrite Morphology: a High-performanc...mentioning
confidence: 99%
“…24,25) Graphics processing unit (GPU) computing is suitable for PF simulations. [26][27][28] We developed parallel computing schemes using multiple GPUs of dendrite growth PF simulations in purely diffusive conditions, [29][30][31][32] with liquid flow 33,34) and solid motion 35,36) by coupling the PF and lattice Boltzmann (PF-LB) method. 37,38) To enable dendrite growth PF simulations in a much larger domain, we developed parallel computing in multiple GPUs with dynamic load balancing for the block-structured AMR scheme (parallel-GPU AMR) for purely diffusive growth 39) and growth with liquid flow and solid motion.…”
Section: Natural Convection On Dendrite Morphology: a High-performanc...mentioning
confidence: 99%
“…We have also enabled such simulations [99] as well as large-scale simulations with a large number of mobile equiaxed dendrites in 2D [100]. More recently, we enabled it in the frame of a multi-phasefield (MPF) model [101] using a double-obstacle potential [102,103]. This model can accurately express a series of solidification processes, from dendrite growth with motion to grain growth after vanishing of the liquid phase [101].…”
Section: Figurementioning
confidence: 99%
“…More recently, we enabled it in the frame of a multi-phasefield (MPF) model [101] using a double-obstacle potential [102,103]. This model can accurately express a series of solidification processes, from dendrite growth with motion to grain growth after vanishing of the liquid phase [101]. Figure 4 shows a simulation example for the growth of a large number of dendrites with solid motion followed by grain growth [101].…”
Section: Figurementioning
confidence: 99%
See 2 more Smart Citations