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Grain Nucleation Parameters for Aluminum Alloys: Experimental Determination and Model Validation

机译:铝合金晶粒成核参数:实验确定与模型验证

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摘要

A statistical grain nucleation model was implemented as a part of a multiphase flow and solidification simulation code for metallic alloys. Three characteristic parameters control the solution accuracy of the nucleation model: the total grain density, the mean undercooling, and the standard deviation of the undercooling. These parameters were obtained experimentally for grain-refined (GR) A356, GR AlCu4, and unrefined (UR) AlCu4 aluminum alloys. An apparatus was constructed and equipped with a cooling system to provide different cooling rates throughout the cast sample. The local grain density related to each cooling rate and undercooling was determined. The model parameters were obtained via statistical tools and were used to perform a simulation for the solidification of the cast sample. Calculated results were compared to experimental results, and the model exhibited good agreement with the experiments.
机译:统计晶粒成核模型是金属合金多相流动和凝固模拟代码的一部分。三个特征参数控制成核模型的求解精度:总晶粒密度,平均过冷度和过冷度的标准偏差。这些参数是通过晶粒细化(GR)A356,GR AlCu4和未细化(UR)AlCu4铝合金实验获得的。构造了设备并配备了冷却系统,以在整个铸件样品中提供不同的冷却速率。确定了与每种冷却速率和过冷有关的局部晶粒密度。通过统计工具获得模型参数,并将其用于模拟铸造样品的凝固。将计算结果与实验结果进行比较,该模型与实验结果吻合良好。

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  • 来源
    《Metallurgical and Materials Transactions A》 |2009年第3期|646-653|共8页
  • 作者单位

    Numerical Simulation and Fundamentals of Solidification Research Group Aachen Germany;

    Numerical Simulation and Fundamentals of Solidification Research Group Aachen Germany;

    Numerical Simulation and Fundamentals of Solidification Research Group Aachen Germany;

    Numerical Simulation and Fundamentals of Solidification Research Group Aachen Germany;

    Foundry Institute at RWTH-Aachen University Aachen Germany;

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