2022
DOI: 10.1063/5.0084012
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Multi-phase field model simulation based on MPI+OpenMP parallel: Evolution of seaweed and dendritic structure in directional solidification

Abstract: A multi-phase model was established to imitate the growth of algal and dendritic grains during directional solidification. We studied the effects of temperature on the growth of bi-crystals and quantitatively analyzed the influence of anisotropic strength, thermal gradient, and pulling velocity on the evolution of bi-crystals. The results show that both weaker anisotropy strength and smaller pulling velocity can maintain the formation of seaweed tissue. The increase in the pulling velocity can degenerate the s… Show more

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Cited by 2 publications
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“…Pulling speed has always been one of the most important process parameters in the directional solidification process of DZ22B superalloy blades, which affects the growth rate of dendrite tips, is closely related to the temperature gradient of the leading liquid phase of the solid-liquid interface, and also affects the occurrence of various defects in the casting process [13][14][15][16][17][18][19][20]. Therefore, the method of combining experiment and numerical simulation is used to study the effect of pulling speed on grain and dendrite growth of DZ22B superalloy blades [21], and the optimization parameters can be proposed in a targeted manner.…”
Section: Introductionmentioning
confidence: 99%
“…Pulling speed has always been one of the most important process parameters in the directional solidification process of DZ22B superalloy blades, which affects the growth rate of dendrite tips, is closely related to the temperature gradient of the leading liquid phase of the solid-liquid interface, and also affects the occurrence of various defects in the casting process [13][14][15][16][17][18][19][20]. Therefore, the method of combining experiment and numerical simulation is used to study the effect of pulling speed on grain and dendrite growth of DZ22B superalloy blades [21], and the optimization parameters can be proposed in a targeted manner.…”
Section: Introductionmentioning
confidence: 99%