High Quality Steel Casting by Using Advanced Mathematical Methods

The main concept of this paper is to utilize advanced numerical modelling techniques with self-regulation algorithm in order to reach optimal casting conditions for real-time casting control. Fully 3-D macro-solidification model for the continuous casting (CC) process and an original fuzzy logic reg...

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Bibliographic Details
Published in:Metals (Basel ) 2018-12, Vol.8 (12), p.1019
Main Authors: Mauder, Tomas, Stetina, Josef
Format: Article
Language:English
Subjects:
Algorithms
Boundary conditions
Continuous casting
Control algorithms
Cooling rate
Fuzzy logic
Heat conductivity
Heat transfer
Iron and steel making
Low carbon steels
Mathematical programming
optimal cooling
Optimization algorithms
Quality
Solidification
Steel
steel quality prediction
Temperature
Temperature distribution
Three dimensional models
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Summary:The main concept of this paper is to utilize advanced numerical modelling techniques with self-regulation algorithm in order to reach optimal casting conditions for real-time casting control. Fully 3-D macro-solidification model for the continuous casting (CC) process and an original fuzzy logic regulator are combined. The fuzzy logic (FL) regulator reacts on signals from two data inputs, the temperature field and the historical steel quality database. FL adjust the cooling intensity as a function of casting speed and pouring temperature. This approach was originally designed for the special high-quality high-additive steel grades such as higher strength grades, steel for acidic environments, steel for the offshore technology and so forth. However, mentioned approach can be also used for any arbitrary low-carbon steel grades. The usability and results of this approach are demonstrated for steel grade S355, were the real historical data from quality database contains approximately 2000 heats. The presented original solution together with the large steel quality databases can be used as an independent CC prediction control system.
ISSN:2075-4701
2075-4701
DOI:10.3390/met8121019