Results

eNauka >  Results >  Optimization of parameters that affect wear of A356/Al2O3 nanocomposites using RSM, ANN, GA and PSO methods
Title: Optimization of parameters that affect wear of A356/Al2O3 nanocomposites using RSM, ANN, GA and PSO methods
Authors: Stojanović, Blaza  ; Gajević, Sandra  ; Kostić, Nenad  ; Miladinović, Slavica  ; Vencl, Aleksandar  
Issue Date: 2022
Publication: Industrial Lubrication and Tribology
ISSN: 0036-8792 Industrial Lubrication and Tribology Search Idenfier
Type: Article
Collation: vol. 74 br. 3 str. 350-359
DOI: 10.1108/ILT-07-2021-0262
WoS-ID: 000747383900001
Scopus-ID: 2-s2.0-85122881782
URI: https://enauka.gov.rs/handle/123456789/573718
https://scidar.kg.ac.rs/handle/123456789/13855
https://machinery.mas.bg.ac.rs/handle/123456789/3790
Project: Ministarstvo prosvete, nauke i tehnološkog razvoja Republike Srbije, Ugovor br. 200105 (Univerzitet u Beogradu, Mašinski fakultet)
M-category: 
23M23

36
SCOPUSTM
2
OpenCitations
28
WEB OF SCIENCETM
Altmetric
Dimensions

Find the DOI

Unpaywall

Items in eNauka are protected by copyright, with all rights reserved, unless otherwise indicated.