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eNauka >  Results >  Experimental optimisation of the tribological behaviour of Al/SiC/Gr hybrid composites based on Taguchi’s method and artificial neural network
Title: Experimental optimisation of the tribological behaviour of Al/SiC/Gr hybrid composites based on Taguchi’s method and artificial neural network
Authors: Stojanović, Blaža  ; Vencl, Aleksandar  ; Bobić, Ilija  ; Miladinović, Slavica  ; Skerlić, Jasmina  
Issue Date: 2018
Publication: Journal of the Brazilian Society of Mechanical Sciences and Engineering
ISSN: 1678-5878 Journal of the Brazilian Society of Mechanical Sciences and Engineering Search Idenfier
1806-3691 Journal of the Brazilian Society of Mechanical Sciences and Engineering Search Idenfier
Type: Article
Collation: vol. 40 br. 6 str. 311
DOI: 10.1007/s40430-018-1237-y
WoS-ID: 000434450600042
Scopus-ID: 2-s2.0-85047507551
URI: https://enauka.gov.rs/handle/123456789/234215
https://scidar.kg.ac.rs/handle/123456789/11171
http://link.springer.com/10.1007/s40430-018-1237-y
https://machinery.mas.bg.ac.rs/handle/123456789/2772
https://vinar.vin.bg.ac.rs/handle/123456789/7710
URL: http://link.springer.com/10.1007/s40430-018-1237-y
Project: Razvoj triboloških mikro/nano dvokomponentnih i hibridnih samopodmazujućih kompozita (RS-35021)
Istraživanje i optimizacija tehnoloških i funkcionalnih performansi ventilacionog mlina termoelektrane Kostolac B (RS-34028)
The bilateral project between Republic of Serbia and Hungary (451-03-02294/2015-09/9)
M-category: 
22M22

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