scholarly journals Mathematical Heat Transfer Model Research for the Improvement of Continuous Casting Slab Temperature

2005 ◽  
Vol 45 (9) ◽  
pp. 1291-1296 ◽  
Author(s):  
Hongming WANG ◽  
Guirong LI ◽  
Yucheng LEI ◽  
Yutao ZHAO ◽  
Qixun DAI ◽  
...  
Keyword(s):  
Heat Transfer ◽  
Continuous Casting ◽  
Heat Transfer Model ◽  
Transfer Model ◽  
Continuous Casting Slab ◽  
Model Research ◽  
Slab Temperature

Metallurgical Secondary Cooling of Continuous Casting Based on Neural Network Adaptive System Design of Water Distribution

2014 ◽  
Vol 926-930 ◽  
pp. 802-805
Author(s):  
Jun Li Jia ◽  
Jin Hong Zhang ◽  
Guo Zhen Wang
Keyword(s):  
Heat Transfer ◽  
Continuous Casting ◽  
Water Distribution ◽  
Cooling System ◽  
Control Level ◽  
Cooling Water ◽  
Heat Transfer Model ◽  
Transfer Model ◽  
Secondary Cooling ◽  
Water Control

Efficient secondary cooling water control level slab continuous casting process and quality are closely related. Casting solidification heat transfer model is the basis of process control and optimization, heat transfer model based on determining the secondary cooling system is the most widely used method for casting production process can be simulated. However, when considering the many factors affecting the production and input conditions change significantly, real-time and strain of this method is not guaranteed. Therefore, the artificial intelligence optimization algorithms such as genetic algorithms, neural networks, fuzzy controllers, introducing continuous casting secondary cooling water distribution and dynamics of optimal control methods, the rational allocation of caster secondary cooling water and dynamic control is important.

Optimal Design of Breakout Prediction System of Slab Continuous Casting

2012 ◽  
Vol 457-458 ◽  
pp. 138-141
Author(s):  
Yi Wang ◽  
Xin Jian Ma
Keyword(s):  
Heat Transfer ◽  
Optimal Design ◽  
Continuous Casting ◽  
Surface Temperature ◽  
Heat Transfer Model ◽  
Transfer Model ◽  
Prediction System ◽  
Slab Continuous Casting ◽  
New Development ◽  
Prediction Technique

This paper describes the new development of the breakout prediction technique based a heat transfer model. The model aims to minimize the variation in surface temperature. The breakout prediction system of slab continuous casting has been analyzed with consideration of the principles, model and thermocouples installation. The system has been designed and implemented in the steel plants.

Inverse problem-coupled heat transfer model for steel continuous casting

2014 ◽  
Vol 214 (1) ◽  
pp. 44-49 ◽  
Author(s):  
Zhaofeng Wang ◽  
Man Yao ◽  
Xudong Wang ◽  
Xiaobing Zhang ◽  
Longsheng Yang ◽  
...  
Keyword(s):  
Heat Transfer ◽  
Inverse Problem ◽  
Continuous Casting ◽  
Heat Transfer Model ◽  
Transfer Model ◽  
Coupled Heat Transfer ◽  
Steel Continuous Casting

scholarly journals An Optimization Control Method for Heat Transfer Model during Slab Continuous Casting

2020 ◽  
Vol 1575 ◽  
pp. 012208
Author(s):  
Zhaofeng Wang ◽  
Yichi Zhang ◽  
Yuting Jiang ◽  
Jiahui Zhang ◽  
Shuai Zhang
Keyword(s):  
Heat Transfer ◽  
Continuous Casting ◽  
Control Method ◽  
Heat Transfer Model ◽  
Transfer Model ◽  
Slab Continuous Casting ◽  
Optimization Control

Study on CA-Based Quality Prediction Model of Internal Cracks in Continuous Casting Billet

2011 ◽  
Vol 301-303 ◽  
pp. 520-524
Author(s):  
Wen Hong Liu ◽  
Zhi Xie ◽  
Guang Lin Jia
Keyword(s):  
Heat Transfer ◽  
Continuous Casting ◽  
Prediction Model ◽  
Clustering Analysis ◽  
Processing Parameters ◽  
Heat Transfer Model ◽  
Production Costs ◽  
Transfer Model ◽  
Quality Prediction ◽  
Continuous Casting Billet

In continuous casting, it is very important to predict and detect the internal cracks of billet in time for ensuring continuous production, improving product quality and reducing production costs. In this paper, Clustering analysis method is adopted to do feature extraction and classification for on-site data, by which ladder parameter tables of processing parameters and defect grades of internal cracks are got. Fault tree analysis (FTA) method is adopted to analyze the effects of processing parameters on internal cracks. The solidification speed of billet is calculated by solidification heat-transfer model. Quality prediction model of internal cracks in continuous casting billet is established by quality prediction function, based on clustering analysis model of on-site data, FTA model and solidification heat-transfer model. Some samples of Steel Grade 1008 are selected for testing the quality prediction model. The percentage of accuracy for the quality prediction is 80 percent, which provides the foundation for industry application.

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