Optimizing the model of heating the material in the reheating furnace in metallurgy

The optimal operation of reheating furnaces in the metallurgical industry is subject to regularities in the work of the furnace. In practice, however, one cannot avoid downtime to some extent, which causes the deterioration of economic indicators in the furnace. The article demonstrates how to use s...

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Main Authors: I. Špička, M. Heger, O. Zimný, Z. Jančíková, T. Tykva
Format: Article
Language:English
Published: Croatian Metallurgical Society 2016-10-01
Series:Metalurgija
Subjects:
Online Access:http://hrcak.srce.hr/file/232019
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author I. Špička
M. Heger
O. Zimný
Z. Jančíková
T. Tykva
author_facet I. Špička
M. Heger
O. Zimný
Z. Jančíková
T. Tykva
author_sort I. Špička
collection DOAJ
description The optimal operation of reheating furnaces in the metallurgical industry is subject to regularities in the work of the furnace. In practice, however, one cannot avoid downtime to some extent, which causes the deterioration of economic indicators in the furnace. The article demonstrates how to use simulation models for reducing the negative impact of downtime by correcting the temperature in individual zones of the furnace. Corrections are calculated on the basis of predictions of initial heating curves of the processed material and subsequent optimization while using the elements of artificial intelligence.
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spelling doaj.art-391326ec3bb948fa81f8aff8ba8355f72022-12-22T00:38:26ZengCroatian Metallurgical SocietyMetalurgija0543-58461334-25762016-10-01554719722Optimizing the model of heating the material in the reheating furnace in metallurgyI. ŠpičkaM. HegerO. ZimnýZ. JančíkováT. TykvaThe optimal operation of reheating furnaces in the metallurgical industry is subject to regularities in the work of the furnace. In practice, however, one cannot avoid downtime to some extent, which causes the deterioration of economic indicators in the furnace. The article demonstrates how to use simulation models for reducing the negative impact of downtime by correcting the temperature in individual zones of the furnace. Corrections are calculated on the basis of predictions of initial heating curves of the processed material and subsequent optimization while using the elements of artificial intelligence.http://hrcak.srce.hr/file/232019metallurgyreheating furnacemodel of heatingoptimizationartificial intelligence
spellingShingle I. Špička
M. Heger
O. Zimný
Z. Jančíková
T. Tykva
Optimizing the model of heating the material in the reheating furnace in metallurgy
Metalurgija
metallurgy
reheating furnace
model of heating
optimization
artificial intelligence
title Optimizing the model of heating the material in the reheating furnace in metallurgy
title_full Optimizing the model of heating the material in the reheating furnace in metallurgy
title_fullStr Optimizing the model of heating the material in the reheating furnace in metallurgy
title_full_unstemmed Optimizing the model of heating the material in the reheating furnace in metallurgy
title_short Optimizing the model of heating the material in the reheating furnace in metallurgy
title_sort optimizing the model of heating the material in the reheating furnace in metallurgy
topic metallurgy
reheating furnace
model of heating
optimization
artificial intelligence
url http://hrcak.srce.hr/file/232019
work_keys_str_mv AT ispicka optimizingthemodelofheatingthematerialinthereheatingfurnaceinmetallurgy
AT mheger optimizingthemodelofheatingthematerialinthereheatingfurnaceinmetallurgy
AT ozimny optimizingthemodelofheatingthematerialinthereheatingfurnaceinmetallurgy
AT zjancikova optimizingthemodelofheatingthematerialinthereheatingfurnaceinmetallurgy
AT ttykva optimizingthemodelofheatingthematerialinthereheatingfurnaceinmetallurgy