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Time Prediction of Cooling Down Low Range Specimen with Neural Network Exploitation

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27360%2F08%3A00019531" target="_blank" >RIV/61989100:27360/08:00019531 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Time Prediction of Cooling Down Low Range Specimen with Neural Network Exploitation

  • Original language description

    The method exploits sufficient similarity between cooling down curves of individual specimens from the same material but when specimens vary in geometric shape. Time scale altering for individual specimens leads from practical point of view to coincidence of all curves with so called ?general curve? for given material which is calculated from measured values by means of statistic methods. This operation can be denoted as a definition of time transformation coefficient ( TTC ) (for known specimens). If an artificial neural network learns itself to assign time transformation coefficient to known dimensions of specimens, it is then with sufficient accuracy able to determine time transformation coefficient even for specimens with different shapes, for which it has not been learnt. By backward time transformation is then possible to predict probable time course of the cooling down curve and accordingly also the moment of accomplishment of given temperature

  • 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

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2008

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Hutnik-Wiadomośti Hutnicze

  • ISSN

    1230-3534

  • e-ISSN

  • Volume of the periodical

    LXXV

  • Issue of the periodical within the volume

    8

  • Country of publishing house

    PL - POLAND

  • Number of pages

    3

  • Pages from-to

  • UT code for WoS article

  • EID of the result in the Scopus database