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Modeling of Two‐Phase Flow in Blast Furnace Trough
Steel Research International ( IF 1.9 ) Pub Date : 2020-11-17 , DOI: 10.1002/srin.202000485
Marivaldo Júnior Monteiro de Oliveira 1 , Gustavo Fernando Ribeiro Rodrigues 1 , Itavahn Alves Silva 1 , Johne Jesus Mol Peixoto 2 , Carlos Antonio da Silva 1
Affiliation  

Almost 95% of the world's hot metal production is from blast furnaces, reaching a production of 1.2 billions tons in 2018 according to the World Steel Association. The trough is an important equipment within the blast furnace production process, promoting the separation between hot metal and slag after casting. However, the flow pattern inside the runner is understudied due to its complexity. Due to the turbulence in the trough during the casting, there is metal loss in the slag and also slag entrainment in the hot metal. The metal loss in the slag is the most critical situation as it directly affects the efficiency. The influence of flow rate as well as of geometrical parameters on the flow pattern inside the runner is analyzed by physical and numerical simulation. In the physical simulations, particle image velocimetry (PIV) as well as dye injection using HD cameras and residence time distribution (RTD) curves are used to characterize the flow. These techniques allow to validate the mathematical model created in CFX‐Ansys. This work stresses the changing flow features as the slag–metal ratio changes during the casting operation and the role of geometry as far as metal separation from the slag is concerned.

中文翻译:

高炉槽内两相流的建模

根据世界钢铁协会的数据,全球高炉铁水产量中近95%来自高炉,2018年产量达到12亿吨。槽是高炉生产过程中的重要设备,可促进铸造后铁水与炉渣之间的分离。但是,由于其复杂性,对流道内部的流型进行了研究。由于在铸造过程中槽中的湍流,在炉渣中存在金属损失,并且在铁水中也夹带炉渣。炉渣中的金属损失是最关键的情况,因为它直接影响效率。通过物理和数值模拟分析了流速以及几何参数对流道内部流型的影响。在物理模拟中 颗粒图像测速(PIV)以及使用高清摄像机的染料注入和停留时间分布(RTD)曲线用于表征流量。这些技术可以验证在CFX‐Ansys中创建的数学模型。这项工作着重于在铸造过程中随着渣金属比的变化而变化的流动特征,以及就金属与渣的分离而言,几何形状的作用。
更新日期:2020-11-17
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