scholarly journals NON-UNIFORM WATER FLUX DENSITY APPROACH APPLIED ON A MATHEMATICAL MODEL OF HEAT TRANSFER AND SOLIDIFICATION FOR A CONTINUOUS CASTING OF ROUND BILLETS

2014 ◽  
Vol 11 (4) ◽  
pp. 363-370
Author(s):  
Charles Assunção ◽  
Roberto Parreiras Tavares ◽  
Guilherme Oliveira
Keyword(s):  
Heat Transfer ◽  
Mathematical Model ◽  
Continuous Casting ◽  
Flux Density ◽  
Water Flux ◽  
Heat Transfer And Solidification

scholarly journals Comparison of Transverse Uniform and Non-Uniform Secondary Cooling Strategies on Heat Transfer and Solidification Structure of Continuous-Casting Billet

Metals ◽  
2019 ◽  
Vol 9 (5) ◽  
pp. 543 ◽  
Author(s):  
Yanshen Han ◽  
Xingyu Wang ◽  
Jiangshan Zhang ◽  
Fanzheng Zeng ◽  
Jun Chen ◽  
...  
Keyword(s):  
Heat Transfer ◽  
Continuous Casting ◽  
Surface Temperature ◽  
Water Flux ◽  
Solidification Structure ◽  
Equiaxed Crystal ◽  
Secondary Cooling ◽  
Cooling Strategy ◽  
Crystal Density ◽  
Heat Transfer And Solidification

Water flux distribution largely influences the heat transfer and solidification of continuously-cast steel billets. In this paper, a secondary cooling strategy of transverse non-uniform water flux (i.e., higher flux density on billet center), was established and compared with the uniform cooling strategy using mathematical modeling. Specifically, a heat transfer model and a cellular automaton finite element coupling model were established to simulate the continuous casting of C80D steel billet. The water flux was measured using different nozzle configurations to assist the modeling. The mathematical results were validated by comparing the surface temperature and the solidification structure. It is shown that the non-uniform cooling strategy enables the increase of corner temperature and reduction in surface temperature difference, while a higher reheating rate is found on the surface center of the billet. Moreover, the non-uniform cooling strategy can enhance the cooling effect and refine the solidification structure. Accordingly, the liquid pool length is shortened, and the equiaxed crystal density is increased along with the decreased equiaxed crystal ratio. The uniform cooling strategy contributes to reducing internal cracks of billet, and the non-uniform one is beneficial for surface quality and central segregation. For C80D steel, the non-uniform cooling strategy outperforms the uniform one.

Heat Transfer and Solidification Model of Slab Continuous Casting Based on Nail-Shooting Experiments

2015 ◽  
Vol 1088 ◽  
pp. 153-158 ◽  
Author(s):  
An Gui Hou ◽  
Yi Min ◽  
Cheng Jun Liu ◽  
Mao Fa Jiang
Keyword(s):  
Heat Transfer ◽  
Continuous Casting ◽  
Liquid Core ◽  
Casting Process ◽  
Soft Reduction ◽  
Slab Continuous Casting ◽  
Solidification Model ◽  
Core Length ◽  
Measurement Results ◽  
Heat Transfer And Solidification

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.

3D steady state and transient simulation tools for heat transfer and solidification in continuous casting

2005 ◽  
Vol 413-414 ◽  
pp. 135-138 ◽  
Author(s):  
Seppo Louhenkilpi ◽  
Mika Mäkinen ◽  
Sami Vapalahti ◽  
Tuomo Räisänen ◽  
Jukka Laine
Keyword(s):  
Heat Transfer ◽  
Steady State ◽  
Continuous Casting ◽  
Transient Simulation ◽  
Simulation Tools ◽  
Heat Transfer And Solidification

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

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.

The Effect of Fluid Flow on Heat Transfer and Shell Growth in Continuous Casting of Copper

2006 ◽  
Vol 508 ◽  
pp. 503-508 ◽  
Author(s):  
Sami Vapalahti ◽  
Seppo Louhenkilpi ◽  
Tuomo Räisänen
Keyword(s):  
Heat Transfer ◽  
Fluid Flow ◽  
Continuous Casting ◽  
Turbulent Fluid Flow ◽  
Turbulent Fluid ◽  
Material Data ◽  
University Of Technology ◽  
Flow Heat ◽  
Heat Transfer And Solidification ◽  
Transfer Models

Molten metal is cooled in a continuous casting mould forming initially a thin shell that grows thicker. The main phenomena in the mould are: fluid flow, heat transfer and solidification. A lot of mathematical models have been developed to simulate these phenomenons in continuous casting machines but most of the models developed are not calculating the fluid flow at all. In these models, it is assumed that the strand (solid and liquid) is withdrawn through the machine with a constant velocity field (= casting speed) and the convective heat transfer generated by the fluid flow is taken into account by using an effective thermal conductivity method. Also at the Helsinki University of Technology, these kinds of heat transfer models have been developed (TEMPSIMU for steels and CTEMP3D for coppers). The flow in the mould is three-dimensional and turbulent. Coupled models calculate the fluid flow, heat transfer and solidification simultaneously. The fluid flow is affected by many things: inlet flow rate, design of the inlet nozzle (SEN), immersion depth of the SEN, movement of the solid shell, natural convection, solidification shrinkage, etc. and the fully coupled, turbulent fluid flow and heat transfer models are generally subjected to convergence difficulties and they need a lot of computing time. Due to these reasons, these kinds of models are not so much used in industry so far. In the present study, a commercial FLOW-3D package is used to make coupled simulations of heat transfer, turbulent fluid flow and solidification in a copper continuous casting machine. The effect of thermophysical material data are also studied and presented. The material data are calculated by a model developed at the Helsinki University of Technology, called CASBOA.

Mathematical model of heat transfer for bloom continuous casting

2008 ◽  
Vol 15 (1) ◽  
pp. 17-23 ◽  
Author(s):  
Qing Liu ◽  
Liangzhou Wang ◽  
Liqiang Zhang ◽  
Liguo Cao ◽  
Xiuzhong Ding ◽  
...  
Keyword(s):  
Heat Transfer ◽  
Mathematical Model ◽  
Continuous Casting
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