Applying of Real-time Heat Transfer and Solidification Model on the Dynamic Control System of Billet Continuous Casting

A heat transfer and solidification model of slab continuous casting process was developed, and the nail-shooting experiments were carried out to verify and improve the prediction accuracy. The comparison between the simulation and the measurements results showed that, there exists difference between the model predicted liquid core length and the calculated liquid core length according to the measurement results of the solidification shell thickness. In the present study, the value of constant a in the heat transfer coefficient calculation formula was corrected through back-calculation, results showed that, the suitable value of a is 31.650, 33.468 and 35.126 when the casting speed is 0.8m·min-1, 0.9m·min-1 and 1.0m·min-1 respectively, which can meet the liquid core length of the measurement results. The developed model built a foundation for the application of dynamic secondary cooling, and dynamic soft reduction.

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Real-time Heat Transfer Model Based on Variable Non-uniform Grid for Dynamic Control of Continuous Casting Billets

ISIJ International ◽

10.2355/isijinternational.54.328 ◽

2014 ◽

Vol 54 (2) ◽

pp. 328-335 ◽

Cited By ~ 12

Author(s):

Jian Yang ◽

Zhi Xie ◽

Zhenping Ji ◽

Hongji Meng

Keyword(s):

Heat Transfer ◽

Continuous Casting ◽

Real Time ◽

Dynamic Control ◽

Heat Transfer Model ◽

Uniform Grid ◽

Transfer Model ◽

Model Based

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Steel Structure Prediction for Continuous Steel Casting by Means of a Parallel GPU-Based Heat Transfer and Solidification Model

Volume 8B: Heat Transfer and Thermal Engineering ◽

10.1115/imece2015-51425 ◽

2015 ◽

Author(s):

Lubomír Klimeš ◽

Josef Štětina ◽

Tomáš Mauder

Keyword(s):

Heat Transfer ◽

Continuous Casting ◽

Structure Prediction ◽

Steel Production ◽

Steel Structure ◽

Production Method ◽

Micro Structure ◽

Solidification Model ◽

Minimum Number ◽

Heat Transfer And Solidification

Continuous casting of steel is currently a predominant production method of steel, which is used for more than 95% of the total world steel production. An effort of steelmakers is to cast high-quality steel with a desired structure and with a minimum number of defects, which reduce the productivity. The paper presents our developed GPU-based heat transfer and solidification model for continuous casting, which is coupled with a submodel used for the prediction of the steel micro-structure. The model is implemented in CUDA/C++, which allows for rapid computing on NVIDIA GPUs. The time-dependent temperature distribution calculated by the thermal model is iteratively passed to the submodel for the steel micro-structure prediction. The structural submodel determines the spatially-dependent rates of temperature change in the strand, for which the interdendritic solidification model IDS predicts the micro-structure of steel. The paper presents preliminary simulation results for the steel grade used for pressure vessel plates, which is sensitive to rapid cooling rates.

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