Mathematical Modelling of the Flow in High-Turbulence Roll Cooling (HTRC)

ArcelorMittal Dofasco是北美先进的钢铁制造商之一，与顶级汽车、能源、包装和建筑品牌合作，开发更轻、更坚固和更可持续的产品-从罐头到汽车。ArcelorMittal Dofasco成立于1912年，是汉密尔顿最大的私营部门雇主，拥有5000多名员工，每年发运500万短吨优质扁碳钢。热轧是钢铁制造的关键步骤之一。在这一过程中，铁水板坯在轧辊之间通过，目的是减小它们的尺寸并获得厚度均匀的带材。在此过程中，轧辊必须连续冷却。轧辊温度过高会导致轧辊早期磨损和断裂，这是由于热应力和产品表面质量下降造成的。如今，钢厂都在努力提高产量。然而，通过传统的冷却系统，增加产量会导致更高的轧辊温度。为了提高冷却效率，CRM(比利时中央RechercheMétallurgique-Gent)和安赛乐米塔尔Gent开发了一种名为高浊度辊冷却(HTRC)的创新技术。该系统的使用显著改善了冷却效果。在本项目中，将建立高温气冷堆内流动的三维两相稳态模型，以考察不同的设计和运行参数(喷嘴的数量、尺寸和分布、水流量、集箱间隔层厚度、辊径等)的影响。因此，确定最佳参数将以更低的成本获得更好的冷却条件和产品质量。模型将通过磨机数据进行验证。

ArcelorMittal Dofasco is one of the North America's advanced steel manufacturers working with the topautomotive, energy, packaging, and construction brands to develop lighter, stronger, and more sustainableproducts - from cans to cars. Founded in 1912, ArcelorMittal Dofasco is Hamilton's (ON) largest private sectoremployer with more than 5,000 employees shipping 5 million short tons of high quality flat carbon steelannually.Hot rolling is one of the key steps of steel manufacturing. In this process, hot metal slabs pass between rollswith the objective of decreasing their size and obtaining a strip with uniform thickness. During this process,rolls have to be cooled continuously. High roll temperatures result in early wear/tear and breakdown of rollsdue to the thermal stresses as well as the degradation of product surface quality. Nowadays, mills are trying toincrease their throughput. However, increasing throughput results in higher roll temperatures with theconventional cooling system. In order to increase the cooling efficiency, CRM (Centre RechercheMétallurgique-Gent, Belgium) and ArcelorMittal Gent developed an innovative technology called HighTurbulence Roll Cooling (HTRC). Utilization of this system significantly improved the cooling. However, allthe design and operational parameters of this system are not yet optimized.In this project, a 3D, two-phase, steady-state model of the flow in HTRC will be developed with the objectiveof investigating the effects of different design and operational parameters (number, size, and distribution ofnozzles, water flow rate, header spacer thickness, roll diameter, etc.) on HTRC operation and, consequently,identifying the best parameters which will lead to better cooling conditions and product quality at lower cost.The model will be validated with the mill data.