Possibilities of Assembling of Processing Maps by Utilizing of an Artificial Neural Network Approach

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27360%2F18%3A10241040" target="_blank" >RIV/61989100:27360/18:10241040 - isvavai.cz</a>
Result on the web
<a href="https://iopscience.iop.org/article/10.1088/1757-899X/461/1/012063/meta" target="_blank" >https://iopscience.iop.org/article/10.1088/1757-899X/461/1/012063/meta</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1088/1757-899X/461/1/012063" target="_blank" >10.1088/1757-899X/461/1/012063</a>

Result language
angličtina
Original language name
Possibilities of Assembling of Processing Maps by Utilizing of an Artificial Neural Network Approach
Original language description
The processing maps (i.e. power dissipation maps superimposed over instability maps) can be used as a very convenient tool in case of an optimizing of hot forming processes. In this research, processing maps of C45 medium-carbon steel were assembled on the basis of an experimental flow stress dataset. This dataset was acquired via series of uniaxial hot compression tests in the temperature range of 1173 K - 1553 K and the strain rate range of 0.1 1/s - 100 1/s. In addition, a predicted flow stress dataset was created with use of an artificial neural network approach - it allowed extending of the experimental dataset with additional temperature levels. The experimentally compiled processing maps have been subsequently enhanced by this additional dataset to encourage the overall information capability. The results have showed that the predicted dataset was useful to reveal additional instability regions in the experimentally assembled processing maps.
Czech name
—
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
IOP Conference Series: Materials Science and Engineering. Volume 461
ISBN
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ISSN
1757-8981
e-ISSN
1757-899X
Number of pages
6
Pages from-to
"Neuveden"
Publisher name
IOP Publishing
Place of publication
Bristol
Event location
Plzeň
Event date
Nov 14, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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