Peak Point Description Utilizing of an Artificial Neural Network Approach in Comparison with the Commonly Used Relationships

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27360%2F18%3A10241028" target="_blank" >RIV/61989100:27360/18:10241028 - 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
Peak Point Description Utilizing of an Artificial Neural Network Approach in Comparison with the Commonly Used Relationships
Original language description
The peak point coordinates (i.e. peak stress, peak strain) play a significant role in case of a flow curve description. These coordinates are strongly dependent on the temperature and strain rate, so they need to be related to these thermomechanical circumstances before use in the flow stress models. In this research, the experimental peak point coordinates of the C45 and 38MnVS6 steels were described in a wide range of thermomechanical conditions by use of two different methodologies. The first one was based on the ordinary predictive relationships utilizing the well-known Zener-Hollomon parameter. The second one was based on the artificial neural network approach. The aim was to compare appropriateness of these methods. The results have suggested better aptness in case of the assembled neural networks.
Czech name
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Czech description
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Project
<a href="/en/project/LO1203" target="_blank" >LO1203: Regional Materials Science and Technology Centre - Feasibility Program</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
METAL 2018 : 27th International Conference on Metallurgy and Materials : abstracts : May 23rd-25th 2018, Hotel Voronez I, Brno, Czech Republic, EU
ISBN
978-80-87294-83-3
ISSN
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e-ISSN
neuvedeno
Number of pages
6
Pages from-to
432-437
Publisher name
Tanger
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
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