NEURAL NETWORK UTILIZATION FOR EVALUATION OF THE STEEL MATERIAL
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F25870807%3A_____%2F18%3AN0000032" target="_blank" >RIV/25870807:_____/18:N0000032 - isvavai.cz</a>
Result on the web
<a href="https://konsystest.tanger.cz/files/uploads/02/Metal2018_Conference_Proceedings_Content.pdf" target="_blank" >https://konsystest.tanger.cz/files/uploads/02/Metal2018_Conference_Proceedings_Content.pdf</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
NEURAL NETWORK UTILIZATION FOR EVALUATION OF THE STEEL MATERIAL
Original language description
The aim of this work is to develop and test a new method for identification of material properties of the steel. This work deals with application of the small punch test for evaluation of material degradation of power station in the ČEZ company (main Czech energetic company) within the project TE01020068 “Centre of research and experimental development of reliable energy production, work package 8: Research and development of new testing methods for evaluation of material properties”. The main effort is here an improvement of empirical correlation of selected steel materials used in power industry for manufacturing of the critical components (rotors, steam-pipes, etc.). The effort here is on the utilization of the finite element method (FEM) and the neural network (NN) for evaluation of mechanical properties (Young modulus of elasticity, yield stress, tensile strength) of the selected material, based on SPT results only.
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
20501 - Materials engineering
Result continuities
Project
<a href="/en/project/TE01020068" target="_blank" >TE01020068: Centre of research and experimental development of reliable energy production</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2018
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 2018 27th International Conference on Metallurgy and Materials Conference Proceedings
ISBN
978-80-87294-84-0
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
718 - 723
Publisher name
Tanger Ltd.
Place of publication
Ostrava
Event location
Brno
Event date
May 23, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000461832200111