The mathematical-physical models and the neural network exploitation for time prediction of cooling down low range specimen

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27360%2F10%3A86076400" target="_blank" >RIV/61989100:27360/10:86076400 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

The mathematical-physical models and the neural network exploitation for time prediction of cooling down low range specimen

Original language description

The method exploits sufficient similarity between cooling down curves of individual specimens from the same materiál 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 coeficient (TTC) (for know specimens). If an artificial neural network learns itself to assign time transformation coeficient 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 ithas 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

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

JG - Metallurgy, metal materials

OECD FORD branch

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Project

<a href="/en/project/FR-TI1%2F319" target="_blank" >FR-TI1/319: *Development of New Progressive Tools and Systems of Dependability Control Support of Primary Cooling on Slab Device of Continuous Casting for Quality Improvement of Demanding Flat Products</a><br>

Continuities

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

Publication year

2010

Confidentiality

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

Name of the periodical

Archives of Metallurgy and Materials

ISSN

1733-3490

e-ISSN

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Volume of the periodical

2010

Issue of the periodical within the volume

3

Country of publishing house

PL - POLAND

Number of pages

6

Pages from-to

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UT code for WoS article

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EID of the result in the Scopus database

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