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Computational modelling of bubbles, droplets and particles in metals reduction and refining

机译:金属还原和精炼中气泡,液滴和颗粒的计算模型

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A multi-phase framework is typically required for the CFD modelling of metals reduction processes. Such processes typically involve the interaction of liquid metals, a gas (often air) top space, liquid droplets in the top space and injection of both solid particles and gaseous bubbles into the bath. The exchange of mass, momentum and energy between the phases is fundamental to these processes. Multi-phase algorithms are complex and can be unreliable in terms of either or both convergence behaviour or in the extent to which the physics is captured. In this contribution, we discuss these multi-phase flow issues and describe an example of each of the main "single phase" approaches to modelling this class of problems (i.e., Eulerian-Lagrangian and Eulerian-Eulerian). Their utility is illustrated in the context of two problems -one involving the injection of sparging gases into a steel continuous slab caster and the other based on the development of a novel process for aluminium electrolysis. In the steel caster, the coupling of the Lagrangian tracking of the gas phase with the continuum enables the simulation of the transient motion of the metal-flux interface. The model of the electrolysis process employs a novel method for the calculation of slip velocities of oxygen bubbles, resulting from the dissolution of alumina, which allows the efficiency of the process to be predicted.
机译:金属还原过程的CFD建模通常需要一个多阶段框架。这样的过程通常涉及液态金属,气体(通常是空气)顶部空间,顶部空间中的液滴以及将固体颗粒和气泡注入到熔池中的相互作用。这些阶段之间质量,动量和能量的交换是这些过程的基础。多阶段算法很复杂,并且在收敛行为或捕获物理特性方面可能不可靠。在本文中,我们讨论了这些多相流问题,并描述了对此类问题进行建模的每种主要“单相”方法的示例(即Eulerian-Lagrangian和Eulerian-Eulerian)。在两个问题的背景下说明了它们的实用性-一个涉及将喷射气体注入到钢坯连铸机中,另一个基于铝电解新工艺的开发。在钢脚轮中,气相的拉格朗日跟踪与连续体的耦合可以模拟金属-焊剂界面的瞬态运动。电解过程的模型采用一种新颖的方法来计算由于氧化铝溶解而产生的氧气气泡的滑移速度,从而可以预测过程的效率。

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