QUALITY IMPROVEMENT OF CONTINUOUSLY CAST SPECIAL STEEL BY USING NUMERICAL-OPTIMIZATION MODEL

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F17%3APU123804" target="_blank" >RIV/00216305:26210/17:PU123804 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

QUALITY IMPROVEMENT OF CONTINUOUSLY CAST SPECIAL STEEL BY USING NUMERICAL-OPTIMIZATION MODEL

Popis výsledku v původním jazyce

Optimal regulation algorithms and complex numerical simulations are utilized in contemporary production processes. High quality of products, minimum of scrap, and reduction of carbon footprint are current trends in industry processes including the continuous casting process of steel. The paper shows a utilization of the 3D transient solidification model and an original fuzzy regulator for the improvement of the surface slab quality in the continuous casting of a high-strength low-carbon steel. An optimal casting scenario was proposed based on the real casting measurement and statistical evaluation. The relationship between the temperature history of the slab surface and the number of surface defects was statistically evaluated. Based on statistical data, the fuzzy regulator and the solidification model were used to find an optimal cooling strategy as a function of the casting speed and of the casting temperature. Though results are demonstrated for a specific slab caster and for a specific grade of steel, the presented concept is general from its nature and it can be used for any caster or any grade of steel.

Název v anglickém jazyce

QUALITY IMPROVEMENT OF CONTINUOUSLY CAST SPECIAL STEEL BY USING NUMERICAL-OPTIMIZATION MODEL

Popis výsledku anglicky

Optimal regulation algorithms and complex numerical simulations are utilized in contemporary production processes. High quality of products, minimum of scrap, and reduction of carbon footprint are current trends in industry processes including the continuous casting process of steel. The paper shows a utilization of the 3D transient solidification model and an original fuzzy regulator for the improvement of the surface slab quality in the continuous casting of a high-strength low-carbon steel. An optimal casting scenario was proposed based on the real casting measurement and statistical evaluation. The relationship between the temperature history of the slab surface and the number of surface defects was statistically evaluated. Based on statistical data, the fuzzy regulator and the solidification model were used to find an optimal cooling strategy as a function of the casting speed and of the casting temperature. Though results are demonstrated for a specific slab caster and for a specific grade of steel, the presented concept is general from its nature and it can be used for any caster or any grade of steel.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

20501 - Materials engineering

Projekt

<a href="/cs/project/LO1202" target="_blank" >LO1202: NETME CENTRE PLUS</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2017

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Sborník konference METAL 2017

ISBN

978-80-87294-79-6

ISSN

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e-ISSN

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Počet stran výsledku

8

Strana od-do

52-58

Název nakladatele

TANGER Ltd.

Místo vydání

Ostrava, Česká Republika

Místo konání akce

Brno

Datum konání akce

24. 5. 2017

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000434346900004