Dva numerické modely licího stroje pro odlévání bram

Two numerical models of a slab caster

článek v časopise - ostatní, Jost

en

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 on-line model is the basis for establishing the prediction system. An application server with its own database is established for acquiring the data files from three sources – from the steelworks information system, from the on-line model of the temperature field and the data on the quality of the final products (i.e. sheet-steel) from the rolling mill information system. A data warehouse is created of which the data will be processed statistically. Recommended limit values of the deciding parameters are established. Based on these limit values and the current state of the caster displayed on the computer screen in the control room, a new system is be designed for the control and correction of its operation. In the final step, a system for comprehensive prediction is established first. This system includes only really occurring defects. It must also be possible to enter new defects, including a definition of their cause/origin. Modern mathematical & statistical methods and artificial intelligence methods, based on knowledge acquisition from data, are used to predict defects.

Optimalizace a řízení výroby ocelových bram na licích strojích je nemyslitelná bez dokonalé znalosti průběhu tuhnutí a chlazení, které musí být známo pomocí on-line modelu nestacionárního teplotního pole kontinuálně odlévaného odlitku v reálném čase. Je vytvořen aplikační server pro ukládání souborů dat ze tří zdrojů – informačního systému ocelárny, on-line modelu teplotního pole a dat kvality finálních výrobků. Jsou použity moderní matematické & statistické metody a metody umělé inteligence pro predikci vad.

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 on-line model is the basis for establishing the prediction system. An application server with its own database is established for acquiring the data files from three sources – from the steelworks information system, from the on-line model of the temperature field and the data on the quality of the final products (i.e. sheet-steel) from the rolling mill information system. A data warehouse is created of which the data will be processed statistically. Recommended limit values of the deciding parameters are established. Based on these limit values and the current state of the caster displayed on the computer screen in the control room, a new system is be designed for the control and correction of its operation. In the final step, a system for comprehensive prediction is established first. This system includes only really occurring defects. It must also be possible to enter new defects, including a definition of their cause/origin. Modern mathematical & statistical methods and artificial intelligence methods, based on knowledge acquisition from data, are used to predict defects.

kontinuální lití, bramy, teplotní pole, numerický model, metody umělé inteligence, predikce vad

slab caster, temperature field, numerical on-line model, defects prediction

2009

20.10.2009

IMŽ

Gliwice

0137-9941

Prace Instytutu Metalurgii Zelaza

61

5

131–136

6