Please use this identifier to cite or link to this item: https://scidar.kg.ac.rs/handle/123456789/19465
Full metadata record
DC FieldValueLanguage
dc.rights.licenseAttribution-NonCommercial 3.0 United States*
dc.contributor.authorStojanovic, Blaza-
dc.contributor.authorGajević, Sandra-
dc.contributor.authorMiloradović, Nenad-
dc.contributor.authorNikolic, Ruzica-
dc.contributor.authorMiladinovic, Slavica-
dc.contributor.authorSvoboda, Petr-
dc.contributor.authorVencl, Aleksandar-
dc.date.accessioned2023-11-24T12:27:21Z-
dc.date.available2023-11-24T12:27:21Z-
dc.date.issued2023-
dc.identifier.issn1335-4205en_US
dc.identifier.urihttps://scidar.kg.ac.rs/handle/123456789/19465-
dc.description.abstractThe comparative analysis of the two hybrid composites, obtained by the compocasting process, based on A356 and ZA-27 alloys and reinforced with 10 wt. % SiC and 0, 1 and 3 wt. % graphite (Gr) is presented. Optimisation of their tribological behaviour was performed by the Taguchi method and the artificial neural network (ANN). Tribological tests were performed on a block-on-disk tribometer, at three sliding speeds, three normal loads and a sliding distance of 600m, without lubrication. Results obtained by the ANOVA showed that the hybrid composites based on A356 alloy have the better wear resistance and that the composite reinforced with 10 wt. % SiC and 1 wt. % Gr has the lowest wear rate. The lowest coefficient of friction was obtained for a composite based on ZA-27 alloy reinforced with 10 wt. % SiC, at a normal load of 10 N and sliding speed of 1 m/s.en_US
dc.rightsinfo:eu-repo/semantics/openAccess-
dc.rights.urihttp://creativecommons.org/licenses/by-nc/3.0/us/*
dc.sourceCommunications - Scientific letters of the University of Zilina-
dc.subjectwearen_US
dc.subjecthybrid compositesen_US
dc.subjectA356en_US
dc.subjectZA-27en_US
dc.subjectTaguchi designen_US
dc.subjectartificial neural networken_US
dc.titleComparative Analysis of Hybrid Composites Based on A356 and ZA-27 Alloys regarding Their Tribological Behaviouren_US
dc.typearticleen_US
dc.identifier.doi10.26552/com.C.2023.056en_US
dc.identifier.scopus57413845600en_US
Appears in Collections:Faculty of Engineering, Kragujevac

Page views(s)

354

Downloads(s)

16

Files in This Item:
File Description SizeFormat 
CSL_csl-202303-0017.pdf3.11 MBAdobe PDFThumbnail
View/Open


This item is licensed under a Creative Commons License Creative Commons