Publication detail

A MATHEMATICAL & STOCHASTIC MODELLING OF THE CONCASTING OF STEEL SLABS

MAUDER, T. KAVIČKA, F. ŠTĚTINA, J. FRANĚK, Z. MASARIK, M.

Czech title

NUMERICKÝ A STOCHASTICKÝ MODEL PRO BRAMOVÉ KONTILITÍ

English title

A MATHEMATICAL & STOCHASTIC MODELLING OF THE CONCASTING OF STEEL SLABS

Type

conference paper

Language

en

Original abstract

Optimization and control of production of steel slabs on real casters, with the aim of achieving the maximum possible savings and product quality, is unthinkable without perfect knowledge of the course of solidification and cooling, which must be known with the aid of an on-line model of the transient temperature field of the concasting in real time. The functioning of the on-line model is conditioned by the availability of real-time data (as are the pouring temperature, the dimensions of the slab, the chemical composition of the poured steel, the casting speed, the position of the level within the mould, the temperatures of the cooling water within the walls of the mould on the input and output, the flow of water through each mould plate, the settings of the flow of water and the pressure of the air through the secondary-cooling zone, the temperature from the pyrometers within the secondary-cooling zone), which is passed on to the model via the latest information standards. A data warehouse is created from which the data will be processed statistically. Recommended limit values of the deciding parameters are established. Modern mathematical & statistical methods and artificial intelligence methods, based on knowledge acquisition from data, are used to predict defects.

Czech abstract

Optimalizace a řízení plynulého odlévání ocelových bram, s cílem zvýšení produktivity výroby a kvality výroby, je úkolem on-line modelu teplotního pole, který pracuje v reálném čase. Data z modelu jsou ukládány v datovém skladu a jsou dále statisticky zpracovávány. Moderní matematické a statistické metody a případně i metody umělé inteligence umožňují porozumět měřeným a vypočteným datům a mohou být použity pro predikci vad.

English abstract

Optimization and control of production of steel slabs on real casters, with the aim of achieving the maximum possible savings and product quality, is unthinkable without perfect knowledge of the course of solidification and cooling, which must be known with the aid of an on-line model of the transient temperature field of the concasting in real time. The functioning of the on-line model is conditioned by the availability of real-time data (as are the pouring temperature, the dimensions of the slab, the chemical composition of the poured steel, the casting speed, the position of the level within the mould, the temperatures of the cooling water within the walls of the mould on the input and output, the flow of water through each mould plate, the settings of the flow of water and the pressure of the air through the secondary-cooling zone, the temperature from the pyrometers within the secondary-cooling zone), which is passed on to the model via the latest information standards. A data warehouse is created from which the data will be processed statistically. Recommended limit values of the deciding parameters are established. Modern mathematical & statistical methods and artificial intelligence methods, based on knowledge acquisition from data, are used to predict defects.

Keywords in Czech

Stochastické modelování ocelových bram

Keywords in English

STOCHASTIC MODELLING, STEEL SLABS

RIV year

2009

Released

19.05.2009

Publisher

Tanger Ltd.

Location

Hradec nad Moravicí

ISBN

978-80-87294-10-9

Book

Sborník konference

Edition number

1

Pages from–to

41–48

Pages count

8

BIBTEX


@inproceedings{BUT34070,
  author="Tomáš {Mauder} and František {Kavička} and Josef {Štětina} and Zdeněk {Franěk} and Miloš {Masarik},
  title="A MATHEMATICAL & STOCHASTIC MODELLING OF THE CONCASTING OF STEEL SLABS",
  booktitle="Sborník konference",
  year="2009",
  month="May",
  pages="41--48",
  publisher="Tanger Ltd.",
  address="Hradec nad Moravicí",
  isbn="978-80-87294-10-9"
}