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
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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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
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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
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