材料科学
成核
微观结构
等轴晶
晶粒生长
工作(物理)
磁场
融合
热电效应
微尺度化学
多尺度建模
枝晶(数学)
粒度
机械
机制(生物学)
磁流体力学
冶金
复合材料
领域(数学)
材料性能
激光器
晶粒异常长大
晶界
再结晶(地质)
凝聚态物理
作者
Yuhan Ju,Lu Wang,Daijun Hu,Yefeng Yu,Wentao Yan
标识
DOI:10.1038/s41524-026-02239-y
摘要
Abstract Tailoring the microstructure, especially controlling the transition between columnar and equiaxed grain structure is of great importance in metal additive manufacturing for achieving favorable mechanical performance. Static magnetic field (SMF) has demonstrated exceptional potential in promoting columnar-to-equiaxed transition in the laser powder bed fusion of multiple alloys, but the underlying mechanism of grain refinement has not yet been well understood due to the lack of multiscale insights bridging molten pool dynamics and dendrite-scale phenomena. To address this knowledge gap, we establish an integrated modeling framework combining a thermoelectric magnetohydrodynamics model and a 3D dendrite growth model incorporating a stochastic nucleation model and a dendrite-fragment-induced nucleation model to investigate how SMFs induce grain refinement. AlSi10Mg is taken as an example alloy, due to availability of experimental results in literature. The simulation results reveal that instead of the change in molten pool features, dendrite fragments induced by thermo-electric-magnetic forces make major contribution to grain refinement. This work provides useful insight into the microstructure evolution and mechanical property optimization in magnetic-field-assisted additive manufacturing.
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