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

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27360%2F16%3A86100006" target="_blank" >RIV/61989100:27360/16:86100006 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

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

  • Original language 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. (C) 2016, Faculty of Metallurgy. All Rights Reserved.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    JG - Metallurgy, metal materials

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2016

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Metalurgija

  • ISSN

    0543-5846

  • e-ISSN

  • Volume of the periodical

    55

  • Issue of the periodical within the volume

    4

  • Country of publishing house

    HR - CROATIA

  • Number of pages

    4

  • Pages from-to

    719-722

  • UT code for WoS article

  • EID of the result in the Scopus database

    2-s2.0-84966292136