Numerical investigation of grain refinement of magnesium alloys: Effects of cooling rate

Liu, Dong-Rong; Hongwei, Zhao; Wang, Lei

doi:10.1016/j.jpcs.2020.109486

Cited by 14 publications

(3 citation statements)

References 49 publications

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“…The calculation of the geometric factor G p is identical to [22], and l c represents the distance of the SL interface along the normal direction.…”

Section: Ca Growth Kinetic Modelmentioning

confidence: 99%

“…The 400 × 400 cells grid was determined, the CA size of the cell was 1 μm, and a nucleation point was artificially set in the center. The correlation between mesh size and steady-state dendrite tip growth rate is elucidated [22,31]. Figure 5(a) presents the morphology distribution of equiaxed crystal at constant thermodynamic undercooling of 6 K, initial concentration of C 0 and iteration step of 1000 CA time steps (CAs).…”

Section: Single Dendrite Morphologymentioning

confidence: 99%

“…Thus, Wu and Xiong [21] more effectively simulated the growth of multicomponent alloys and dendrites under different orientations. Liu et al [22] integrated this method to study the effect of cooling rate on WE43 grain refinement. However, applying the CA method to simulate dendrite growth under rapid solidification still is worth in-depth studying.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Multi-scale simulation of the dendrite growth during selective laser melting of rare earth magnesium alloy

Wang¹,

Liu²,

Yang³

et al. 2021

Modelling Simul. Mater. Sci. Eng.

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The solidification microstructure of the alloy fabricated by the selective-laser-melting (SLM) process can significantly impact its mechanical properties. In this study, a multi-scale model which couples the macroscale model for thermal-fluid and microscale cellular automata (CA) was proposed to simulate the complex solidification evolution and the dendrite growth (from planar to cellular to dendritic growth) during the SLM process. The solid–liquid interface of CA was dispersed with the bilinear interpolation method. On that basis, the curvature was accurately determined, and the calculation result was well verified by employing the Kurz–Giovanola–Trivedi analytical solution. The dendrite morphology, solute distribution, and primary dendrite arm spacing during the solidification of the SLM molten pool were quantitatively analyzed with the proposed model, well consistent with the experiment. The distribution of the undercooling field and the concentration field at the tip of dendrites different orientations were analyzed, and the two competing growth mechanisms of converging and diverging growth were revealed. Moreover, the research also indicates that during the growth of dendrites, the result of dendrite competition is determined by the height of the dendrite tip position in the direction of the thermal gradient, while the distribution of the concentration field (symmetrical or asymmetric) at the tip of the dendrite critically impacted the competing growth form of dendrites.

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“…The calculation of the geometric factor G p is identical to [22], and l c represents the distance of the SL interface along the normal direction.…”

Section: Ca Growth Kinetic Modelmentioning

confidence: 99%

Section: Single Dendrite Morphologymentioning

confidence: 99%