Prediction of steel temperature during the melting of steel in electric arc furnace using artificial intelligence

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27360%2F11%3A86081261" target="_blank" >RIV/61989100:27360/11:86081261 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/25877950:_____/11:#0000027

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Prediction of steel temperature during the melting of steel in electric arc furnace using artificial intelligence

Popis výsledku v původním jazyce

The new system for predicting the steel temperature in an electric arc furnace has been developed with a view to reduction of energy intensity of steel production in EAF in VITKOVICE HEAVY MACHINERY a.s. This system was developed using artificial intelligence methods. The system not only analyses a process according to submitted sample of input and output data, but also recognizes time snaps of processes in their course, analyses them, transfer them to additional inputs for consequential analysis. The aim of developed system is the reduction of number of steel temperature measurement, which is carried during off-furnace shortening of melting time and limit overheating of the steel. After verifying the off-line system on dataset from heats performed inyears 2008 - 2010, an on-line version of system was installed at EAF. The accuracy of predicted temperature is now compared with actual measured temperature, the deviations are analyzed and model is still optimized.

Název v anglickém jazyce

Prediction of steel temperature during the melting of steel in electric arc furnace using artificial intelligence

Popis výsledku anglicky

The new system for predicting the steel temperature in an electric arc furnace has been developed with a view to reduction of energy intensity of steel production in EAF in VITKOVICE HEAVY MACHINERY a.s. This system was developed using artificial intelligence methods. The system not only analyses a process according to submitted sample of input and output data, but also recognizes time snaps of processes in their course, analyses them, transfer them to additional inputs for consequential analysis. The aim of developed system is the reduction of number of steel temperature measurement, which is carried during off-furnace shortening of melting time and limit overheating of the steel. After verifying the off-line system on dataset from heats performed inyears 2008 - 2010, an on-line version of system was installed at EAF. The accuracy of predicted temperature is now compared with actual measured temperature, the deviations are analyzed and model is still optimized.

Druh

D - Stať ve sborníku

CEP obor

JG - Hutnictví, kovové materiály

OECD FORD obor

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Projekt

<a href="/cs/project/FR-TI1%2F351" target="_blank" >FR-TI1/351: *Výzkum, vývoj a ověření technologie výroby nových značek vysoce legovaných ocelí určených pro volné kování s ohledem na snížení energetické náročnosti výroby oceli</a><br>

Návaznosti

N - Vyzkumna aktivita podporovana z neverejnych zdroju

Rok uplatnění

2011

Kód důvěrnosti údajů

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

Název statě ve sborníku

20th Anniversary International Conference on Metallurgy and Materials: METAL 2011

ISBN

978-80-87294-24-6

ISSN

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e-ISSN

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Počet stran výsledku

6

Strana od-do

74-79

Název nakladatele

Tanger

Místo vydání

Ostrava

Místo konání akce

Brno

Datum konání akce

18. 5. 2011

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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