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

Mathematical Modelling of the Flow and Heat Transfer in High-Turbulence Roll Cooling (HTRC)
高湍流辊冷却 (HTRC) 中流动和传热的数学模型
批准号:
533894-2018
负责人:
Kocaefe, Duygu
金额:
$0.91万
依托单位国家:
加拿大
项目类别:
Engage Plus Grants Program
财政年份:
2018
资助国家:
加拿大
项目状态:
已结题
起止时间:
2018-01-01 至 2019-12-31

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ArcelorMittal Dofasco is one of North America's advanced steel manufacturers working with the top**automotive, energy, packaging, and construction brands to develop lighter, stronger, and more sustainable**products - from cans to cars. Founded in 1912, ArcelorMittal Dofasco is Hamilton's largest private sector**employer with more than 4,800 employees shipping 5 million short tons of high quality flat carbon steel**annually.**Hot rolling is one of the key steps of steel manufacturing. In this process, hot metal slabs pass between rolls to**decrease their size and to obtain 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 rolls due to thermal stresses**and the degradation of product surface quality. Nowadays, mills are trying to increase throughput. However,**this results in higher roll temperatures with the conventional cooling system. To increase cooling efficiency,**CRM (Centre Recherche Métallurgique-Gent, Belgium) and ArcelorMittal Gent developed an innovative**technology called High Turbulence Roll Cooling (HTRC). This system significantly improved cooling.**However, all the design and operational parameters of this system are not yet optimized.**Via an Engage project, a 3D flow model of HRTC was developed, and the effects of different design and**operational parameters (nozzle configuration, water flow rate, spacer thickness, roll diameter, etc.) on**turbulence were investigated. In this Engage Plus project, the heat transfer will be added to the above model.**After validation with mill data, a comprehensive study will be carried out to determine the impact of various**parameters on the HRTC performance in order to identify the best conditions which will lead to optimized**cooling and better product quality at lower cost.
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