Continuous Caster Mould Digital Twin Development for Fluid Flow Control and Sliver Defect Minimization

用于流体流动控制和条子缺陷最小化的连铸机模具数字孪生开发

• 批准号: 560338-2020
• 负责人: Chattopadhyay, Kinnor
• 金额: $ 2.6万
• 依托单位: University of Toronto
• 依托单位国家: 加拿大
• 项目类别: Alliance 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=721759
• 关键词: Continuous; Caster; Mould; Digital; Twin

Steelmakers are constantly challenged to increase the productivity of their continuous casters (CC) while simultaneously maintaining steel slab quality. This is especially challenging for Drawn & Ironed (D&I) and Ultra Low Carbon (ULC) slabs because of stringent quality demands imposed by the customers. These slabs are flat rolled into thin sheets (less than 0.5 mm) and are extremely susceptible to internal and external defects. Therefore, increasing the casting speed for these grades often results in a detrimental impact on cost of poor quality. The defects are created by entrapment of non-metallic inclusions (NMI), such as alumina and mould slag, by the solidifying steel shell inside the CC mould, which continuously receives liquid steel and argon gas through a submerged entry nozzle (SEN). Bubbly steel flow turbulence and instabilities inside the mould are significantly increased at higher casting speeds. This exacerbates the risk of entrapping NMI particles circulating inside the liquid pool. Thus, the flow inside the CC mould must be optimized and then controlled at high caster throughput conditions. The continuous caster digital twin and its application will aim to improve product quality for AMD's slabs and coils. This research program will also utilize a physical modeling approach for flow visualization and quantification and development of a flow index for various casting conditions. A reduced order model-based CFD will also be developed for predicting defects (i.e. NMI particle capture near mould walls) in steel. The flow index will be controlled and adjusted in real time if NMI entrapment is predicted by CFD. At the caster, the project outcomes are expected to enable the increase of maximum casting speed of D&I and ULC steel grades, reduction in defects, and development of real time defect prediction techniques. This will be achieved by identification of improved SEN designs, optimized argon flow rates and better process control techniques. The cost saving arising from improving steel quality is expected to exceed $2.5 million/year. The proposed research project is aligned with AMD's strategic vision and business goals, and will create immediate benefits to AMD, located in Ontario, Canada.

钢铁制造商不断受到挑战，以提高其连续脚轮（CC）的生产率，同时保持钢板质量。由于客户施加的质量严格的需求，这对于抽奖和熨烫（D＆I）和超低碳（ULC）板特别具有挑战性。这些平板平坦地卷成薄床单（小于0.5毫米），并且非常容易受到内部和外部缺陷的影响。因此，提高这些等级的铸造速度通常会对质量差的成本产生不利影响。这些缺陷是通过被固定的钢壳壳内部的固化钢壳（例如，通过淹没的入口喷嘴（SEN）连续接收液态钢和氩气）来捕获非金属夹杂物（NMI），例如氧化铝和模具炉灶。在较高的铸造速度下，气泡的钢流湍流和模具内部的不稳定性显着增加。这加剧了将NMI颗粒循环到液体池内部的风险。因此，必须优化CC模具内部的流量，然后在高施法者吞吐量条件下进行控制。连续的脚轮数字双胞胎及其应用将旨在提高AMD板和线圈的产品质量。该研究计划还将利用一种物理建模方法来进行流动可视化，定量和开发各种铸造条件的流量指数。还将开发基于订单模型的降低模型CFD，以预测钢中的缺陷（即在模具壁附近的NMI颗粒捕获）。如果CFD预测NMI夹带，则流量指数将进行实时控制和调整。在施法者上，预计该项目的结果将使D＆I和ULC钢等级的最大铸造速度，降低缺陷以及实时缺陷预测技术的发展。 这将通过识别改进的SEN设计，优化的氩气流速和更好的过程控制技术来实现。提高钢质质量产生的节省成本预计将超过每年250万美元。拟议的研究项目与AMD的战略愿景和业务目标保持一致，并将为位于加拿大安大略省的AMD带来直接的好处。