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Recent Developments of a Numerical Model for Continuous Casting of Steel: Model Theory, Setup and Comparison to Physical Modelling with Liquid Metal

机译:钢连铸数值模型的最新进展:模型理论,液态金属物理建模的建立和比较

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Recent developments of an advanced numerical model for Continuous Casting of steel unveiled at the previous 2010 CSSCR Conference in Sapporo, Japan are presented. These include coupling of the existing multiphase, heat transfer and solidification model to argon injection for tracking bubble trajectories in the SEN, metal bulk and across the slag bed after passing through the metal surface. Hence, description of a method for adding gas injection in combination with a multiphase model for tracking metal/slag interfaces (D iscrete P hase M odel + V olume O f F luid, DPM+VOF) is given.Validation is supported by tests on a revamped Continuous Casting Simulator (CCS-1) based on a low melting point alloy, which can realistically replicate the flow conditions in the caster. Metal-slag-argon flow predictions were compared to observations in the physical model showing good agreement on features such as discharging jets, rolls, standing waves and argon distribution measured through a variety of techniques such as ultrasound, electromagnetic probes and video sequences.Ultimately, the model makes possible the prediction of stable or unstable flows within the mould as a function of different argon flow-rates and bubble sizes. Application to industrial practice is an ongoing task and preliminary results are illustrated. The robustness of the model combined with direct observations in CCS-1 make possible the description of phenomena difficult to observe in the caster (e.g. argon injection and metal flow), but critical for the stability of the process and the quality of cast products.
机译:介绍了上届在日本札幌举行的2010 CSSCR会议上公布的先进的钢连续铸造数值模型的最新进展。其中包括将现有的多相,传热和凝固模型与氩气注入相结合,以跟踪SEN,金属块以及穿过金属表面后穿过渣床的气泡轨迹。因此,描述了一种用于添加气体注入的方法与多相模型相结合以跟踪金属/矿渣界面的方法(D iscrete,P hase,M odel + V olume,O f <通过对改造后的基于低熔点合金的连铸模拟器(CCS-1)进行测试来支持验证,该模拟可以真实地复制铸机中的流动条件。将金属渣氩流的预测值与物理模型中的观测值进行了比较,结果表明在通过各种技术(例如超声波,电磁探头和视频序列)测量出的射流,轧辊,驻波和氩分布等特征上具有良好的一致性。该模型可以根据不同的氩气流量和气泡大小预测模具中稳定或不稳定的流动。在工业实践中的应用是一项正在进行的任务,并显示了初步结果。该模型的鲁棒性与CCS-1中的直接观察相结合,使得描述铸件中难以观察到的现象(例如氩气注入和金属流)成为可能,但对于工艺的稳定性和铸件质量至关重要产品。

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