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Determination of a coefficient of thermal expansion by machine learning

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27360%2F20%3A10247079" target="_blank" >RIV/61989100:27360/20:10247079 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.37904/metal.2020.3462" target="_blank" >http://dx.doi.org/10.37904/metal.2020.3462</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.37904/metal.2020.3462" target="_blank" >10.37904/metal.2020.3462</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Determination of a coefficient of thermal expansion by machine learning

  • Original language description

    Objective of this work is to model the thermal expansion coefficients of selected steel grade and compare results with those measured by TMA method. Coefficient of thermal expansion is described as a function of steel composition (C, Mn, P, S, Si, Cr, Ni, Mo) and temperature. Experimental values are described and compared with model. Correlation analysis of these data sets is done. Presented model is based on using artificial neural network and represents a preliminary test of method capability to be used for such problems class - for predicting of thermophysical properties depending on composition and temperatre. (C) 2020 TANGER Ltd., Ostrava.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20500 - Materials engineering

Result continuities

  • Project

    <a href="/en/project/FW01010097" target="_blank" >FW01010097: Automated Control Systems in the Field of Ladle Metallurgy</a><br>

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2020

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    METAL 2020 : 29th International Conference on Metallurgy and Materials : conference proceedings : May 20-22, 2020, Brno, Czech Republic, EU

  • ISBN

    978-80-87294-97-0

  • ISSN

    2694-9296

  • e-ISSN

  • Number of pages

    5

  • Pages from-to

    57-61

  • Publisher name

    Tanger

  • Place of publication

    Ostrava

  • Event location

    Brno

  • Event date

    May 20, 2020

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article