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arXiv 2203.10370cond-mat.mtrl-sci
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金属合金粉末床熔融成形的多尺度模拟

Multiscale simulation of powder-bed fusion processing of metallic alloys

S. M. Elahi, R. Tavakoli, A. K. Boukellal, T. Isensee, I. Romero, D. Tourret

摘要:

我们提出了一个用于模拟金属合金粉末床熔合的计算框架,该框架结合了:(1)随温度变化的合金性质和相图的CalPhaD计算,(2)材料添加和熔合的宏观有限元(FE)热模拟,以及(3)熔池中凝固的微观相场(PF)模拟。该方法适用于模拟选择性激光熔化(SLM)的Inconel 718合金使用现实的工艺参数。我们讨论了温度依赖性的影响和会计粉末床和致密材料之间的宏观热模拟的不同属性的重要性。使用通过FE模拟计算的热场的二维纵向切片,我们在整个熔池的规模上执行适当收敛的PF凝固模拟,导致计算超过10亿个网格点,但在具有8个图形处理单元(GPU)的单个集群节点上执行。这些微尺度模拟提供了新的见解,通过多晶生长竞争在现实的SLM条件下的晶粒织构选择,与细节的水平下降到个别枝晶。

英文摘要:

We present a computational framework for the simulations of powder-bed fusion of metallic alloys, which combines: (1) CalPhaD calculations of temperature-dependent alloy properties and phase diagrams, (2) macroscale finite element (FE) thermal simulations of the material addition and fusion, and (3) microscopic phase-field (PF) simulations of solidification in the melt pool. The methodology is applied to simulate the selective laser melting (SLM) of an Inconel 718 alloy using realistic processing parameters. We discuss the effect of temperature-dependent properties and the importance of accounting for different properties between the powder bed and the dense material in the macroscale thermal simulations. Using a two-dimensional longitudinal slice of the thermal field calculated via FE simulations, we perform an appropriately-converged PF solidification simulation at the scale of the entire melt pool, resulting in a calculation with over one billion grid points, yet performed on a single cluster node with eight graphics processing units (GPUs). These microscale simulations provide new insight into the grain texture selection via polycrystalline growth competition under realistic SLM conditions, with a level of detail down to individual dendrites.

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