Innovative Low Melting Liquid Metal Model for Optimizing Argon Injection Practices during Steelmaking and Continuous Casting for Productivity and Quality Improvements

创新的低熔点液态金属模型，用于优化炼钢和连铸过程中的吹氩实践，以提高生产率和质量

• 批准号: 522412-2017
• 负责人: Chattopadhyay, Kinnor
• 金额: $ 3.75万
• 依托单位: University of Toronto
• 依托单位国家: 加拿大
• 项目类别: Collaborative Research and Development Grants
• 财政年份: 2021
• 资助国家: 加拿大
• 起止时间: 2021-01-01 至 2022-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=719542
• 关键词: Innovative; Low; Melting; Liquid; Metal

Steelmakers are under constant pressure to increase productivity, and simultaneously maintain high quality of continuously cast steel slabs because of stringent quality demands imposed by their customers. However, increasing productivity has detrimental effects on slab quality, and defects and rejections have a major impact on the producers bottom-line. Controlling fluid flows in continuous casting is one of the key parameters to ensure cleaner steel and reduce defects. Physical and mathematical modeling is an essential tool to understand and optimize fluid flows in continuous casting. However, understanding bubbly and multiphase flows is not an easy task and traditional techniques like water modeling have certain limitations. The use of water models is reasonable and allows for applying a number of well-established measuring methods. However, a generalization of those results to liquid steel flows has to be considered carefully as the true values of flow parameters (Re, Pr, Gr, Ha, etc.) are difficult to meet. In many cases, e.g. for liquid metal flows with strong temperature gradients, for two-phase flows, and of course for applications of electromagnetic fields, the flow phenomena cannot be modeled correctly by means of water experiments. However, on using low melting point metals like (GaInSn alloys, Rose Metal, Field Metal etc.) these parameters are closer to the real steel/Ar system and hence the bubble dynamics and multiphase flow patterns are expected to be more realistic than water modeling. This project will deal with generating fundamental knowledge in the area of bubbly and multiphase flows in steelmaking continuous casting, and its application to improve product quality for AMDs flat products. This research program will utilize physical modeling approach to optimize argon injection during continuous casting and ladle stirring operations. At the caster, the project outcomes are expected to enable the increase of maximum casting speed of drawn & ironed (D&I) and ultra-low carbon (ULC) steel grades. The cost saving arising from improving both liquid and solid steel quality is expected to exceed $10 million/year.

钢铁制造商承受着提高生产率的压力，并且由于客户施加的质量严格的需求，同时保持高质量的持续铸造钢板。但是，提高的生产率对平板质量产生了不利影响，缺陷和拒绝对生产者的底线产生了重大影响。连续铸造中控制流体流是确保钢并减少缺陷的关键参数之一。物理和数学建模是理解和优化连续铸造中流体流的必要工具。但是，了解气泡和多相流并不是一件容易的事，并且像水建模这样的传统技术具有一定的局限性。水模型的使用是合理的，并允许应用许多建立的测量方法。但是，由于很难满足流量参数（RE，PR，GR，HA等）的真实值（RE，PR，GR，HA等）的真实值，因此必须仔细考虑这些结果对液态钢流的概括。在许多情况下，例如对于具有较强温度梯度的液体金属流动，对于两相流，当然对于电磁场的应用，无法通过水实验正确对流动现象进行正确建模。但是，在使用低熔点金属（Gainsn合金，玫瑰金属，田间金属等）时，这些参数更接近真实的钢/AR系统，因此，气泡动力学和多相流模式预计将比水建模更现实。 该项目将介绍在钢制造连续铸造中起泡和多相流中产生基本知识，以及其用于提高AMDS Flat产品产品质量的应用。该研究计划将利用物理建模方法在连续铸造和钢包搅拌操作过程中优化氩气注入。在施法者上，预计该项目的结果可以提高绘制和熨烫（D＆I）和超低碳（ULC）钢等级的最大铸造速度。 提高液体和固体质量的提高成本预计每年将超过1000万美元。