首页> 外文会议>ASME international heat transfer conference;IHTC14 >NUMERICAL PREDICTION OF MOLTEN METAL JET DYNAMICS, FRAGMENTATION AND SOLIDIFICATION IN A COOLANT POOL
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NUMERICAL PREDICTION OF MOLTEN METAL JET DYNAMICS, FRAGMENTATION AND SOLIDIFICATION IN A COOLANT POOL

机译:冷却液池中熔融金属射流动力学,破碎和凝固的数值预测

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The hydrodynamics of molten metal jet in a coolant pool is characterized by the presence of complex and diverse fluid structures whose formation is facilitated by various modes of instabilities acting on the fluid-fluid interface and the bulk material. The large spectrum of scales involved in these processes and the related non-linearities cloud a clear understanding of the associated physical phenomena. In order to overcome these difficulties, a numerical model has been developed in the current work, which aims to simulate the hydrodynamics, fragmentation and solidification of a molten metal jet in the coolant pool. The work uses an axisymmetric flow solver with the Volume of Fluid (VOF) interface tracking model to evaluate the macro features of the molten metal jet dynamics and to predict the evolution of interfacial instabilities. At the same time, the phenomena at the micro scale is predicted by a Lagrangian particle tracking model that is used to capture the dynamics and the heat interactions of the fragmented droplets formed from the disintegration of molten metal jet. The coupling between the two models is achieved by converting the molten fluid from VOF model into equivalent swarm of particles at the jet breakup length. The ability of the current coupled model is demonstrated using a sample test problem involving the dynamics of molten woods metal jet in a water pool.
机译:冷却液池中熔融金属射流的流体动力学特征是存在复杂多样的流体结构,其作用是通过作用在流体-流体界面和散装材料上的各种不稳定性模式来促进的。这些过程涉及的大范围尺度和相关的非线性因素使对相关物理现象的清楚理解成为可能。为了克服这些困难,当前工作中已经开发了数值模型,其目的是模拟冷却剂池中的熔融金属射流的流体动力学,破碎和凝固。该工作使用带有流体体积(VOF)界面跟踪模型的轴对称流动求解器来评估熔融金属射流动力学的宏观特征,并预测界面不稳定性的演变。同时,通过拉格朗日粒子跟踪模型预测了微观尺度上的现象,该模型用于捕获由熔融金属射流的崩解形成的碎片液滴的动力学和热相互作用。两种模型之间的耦合是通过将来自VOF模型的熔融流体转换成射流破裂长度的等效粒子群来实现的。使用涉及水池中熔融木料金属射流动力学的样本测试问题证明了当前耦合模型的能力。

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