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Advances in Materials Science
Volume 21 (2021): Numero 3 (September 2021)
Accesso libero
Modelling Anisotropic Phenomena of Friction of Deep-Drawing Quality Steel Sheets Using Artificial Neural Networks
Tomasz Trzepieciński
Tomasz Trzepieciński
,
Hirpa G. Lemu
Hirpa G. Lemu
,
Łukasz Chodoła
Łukasz Chodoła
,
Daniel Ficek
Daniel Ficek
e
Ireneusz Szczęsny
Ireneusz Szczęsny
| 05 ott 2021
Advances in Materials Science
Volume 21 (2021): Numero 3 (September 2021)
INFORMAZIONI SU QUESTO ARTICOLO
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CONDIVIDI
Pubblicato online:
05 ott 2021
Pagine:
31 - 42
DOI:
https://doi.org/10.2478/adms-2021-0016
Parole chiave
artificial neural networks
,
coefficient of friction
,
genetic algorithm
,
friction
,
sheet metal forming
© 2021 Tomasz Trzepieciński et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.
Tomasz Trzepieciński
Rzeszow University of Technology, Faculty of Mechanical Engineering and Aeronautics, Department of Materials Forming and Processing
Rzeszów, Poland
Hirpa G. Lemu
University of Stavanger, Department of Mechanical and Structural Engineering
Stavanger, Norway
Łukasz Chodoła
Rzeszow University of Technology, Faculty of Mechanics and Technology, Department of Integrated Design and Tribology Systems
Stalowa Wola, Poland
Daniel Ficek
Rzeszow University of Technology, Faculty of Mechanical Engineering and Aeronautics, Department of Aerospace Engineering
Rzeszów, Poland
Ireneusz Szczęsny
Rzeszow University of Technology, Faculty of Mechanical Engineering and Aeronautics, Department of Aerospace Engineering
Rzeszów, Poland