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

Controlling and eliminating defects, such as macro-porosity, in die casting processes is an on-going challenge for manufacturers. Current strategies for eliminating defects focus on the execution of a pre-set casting cycle, die structure design or the combination of both. To respond to process variability and mitigate its negative effects, advanced process control methodologies may be employed to dynamically adjust the operational parameters of the process. In this work, a finite element heat transfer model, validated by comparison with experimental data, has been developed to predict the evolution of temperatures and the volume of liquid encapsulation in an experimental casting process. A virtual process, made up of the heat transfer model and a wrapper script for communication, has been employed to simulate the continuous operation of the real process. A stochastic state-space model, based on data from measurements and the virtual process, has been developed to provide a reliable representation of this virtual process. The parameters of the deterministic portion result from system identification of the virtual process, whereas the parameters of the stochastic portion arise from the analysis and comparison of measurement data with virtual process data. The resulting state-space model, which can be extended to a multi-input multi-output model, will facilitate the design of a model-based controller for this process.

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

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.926-930.802 ◽

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.

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New prediction methods for CO2 evaporation inside tubes: Part II—An updated general flow boiling heat transfer model based on flow patterns

International Journal of Heat and Mass Transfer ◽

10.1016/j.ijheatmasstransfer.2007.04.001 ◽

2008 ◽

Vol 51 (1-2) ◽

pp. 125-135 ◽

Cited By ~ 87

Author(s):

Lixin Cheng ◽

Gherhardt Ribatski ◽

John R. Thome

Keyword(s):

Heat Transfer ◽

Boiling Heat Transfer ◽

Flow Boiling ◽

Flow Patterns ◽

Heat Transfer Model ◽

Prediction Methods ◽

Transfer Model ◽

General Flow ◽

Model Based ◽

Flow Boiling Heat Transfer

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

ISIJ International ◽

10.2355/isijinternational.48.1722 ◽

2008 ◽

Vol 48 (12) ◽

pp. 1722-1727 ◽

Cited By ~ 24

Author(s):

Jiaocheng Ma ◽

Zhi Xie ◽

Guanglin Jia

Keyword(s):

Heat Transfer ◽

Control System ◽

Continuous Casting ◽

Real Time ◽

Dynamic Control ◽

Solidification Model ◽

Billet Continuous Casting ◽

Dynamic Control System ◽

Heat Transfer And Solidification

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Optimal Design of Breakout Prediction System of Slab Continuous Casting

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.457-458.138 ◽

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.

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