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eNauka >  Results >  Prediction of the wear characteristics of ZA-27/SiC nanocomposites using the artificial neural network
Title: Prediction of the wear characteristics of ZA-27/SiC nanocomposites using the artificial neural network
Authors: Vencl, Aleksandar  ; Stojanović, Blaža  ; Miladinović, Slavica  ; Klobčar, Damjan
Issue Date: 2022
Publication: Zbornik radova / 6. međunarodna naučna konferencija "Primijenjene tehnologije u mašinskom inženjerstvu" COMETa 2022, Istočno Sarajevo - Jahorina, 17-19. novembar 2022. = Proceedings / 6th International Scientific Conference "Conference on Mechanical Engineering Technologies and Applications" COMETa 2022, East Sarajevo - Jahorina, 17th-19th November 2022.
Publisher: East Sarajevo : Faculty of Mechanical Engineering
Type: Conference Paper
ISBN: 978-99976-947-6-8 Search Idenfier
Collation: str. 107-114
URI: https://scidar.kg.ac.rs/handle/123456789/16598
https://enauka.gov.rs/handle/123456789/581510
https://machinery.mas.bg.ac.rs/handle/123456789/4351
Project: Ministarstvo prosvete, nauke i tehnološkog razvoja Republike Srbije, Ugovor br. 200105 (Univerzitet u Beogradu, Mašinski fakultet)
Развој триболошких микро/нано двокомпонентних и хибридних самоподмазујућих композита
Bilateral project 337-00-00111/2020-09/50 and BI-RS/20-21-047 between Republic of Serbia and Republic of Slovenia
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