Prediction of wear behavior of aluminum alloy reinforced with carbon nanotubes using nonlinear identification

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dc.authorid0000-0002-2515-7624en_US
dc.contributor.authorIstif, I.
dc.contributor.authorIsin, O.
dc.contributor.authorUzunsoy, Deniz
dc.contributor.authorPeng, T.
dc.contributor.authorChang, I.
dc.date.accessioned2021-03-20T20:26:58Z
dc.date.available2021-03-20T20:26:58Z
dc.date.issued2014
dc.departmentBTÜ, Mühendislik ve Doğa Bilimleri Fakültesi, Metalurji ve Malzeme Mühendisliği Bölümüen_US
dc.descriptionSAE 2014 World Congress and Exhibition -- 8 April 2014 through 10 April 2014 -- Detroit, MI -- 104424en_US
dc.description.abstractAluminum metal matrix composites reinforced with particulates have attracted much attention in the automotive industry, due to their improved wear resistance in comparison to aluminum alloys, in recent years. The wear behavior is the critical factor influencing the product life and performance in engineering components. Carbon nanotubes (CNT) are one of the most promising candidates of reinforcements used to improve mechanical strength such as wear in metal matrix composites (MMCs). However, in industrial applications, wear tests are relatively expensive and prolonged. As a result, for several years, research has been increasingly concentrated on development of wear prediction models. In this study, prediction of wear behavior of aluminum (Al) matrix (MMCs) reinforced with different amounts (0, 0.5, 1 and 2 wt%) of CNTs was investigated. A nonlinear autoregressive exogenous (NARX) model structure was chosen for the modeling. The wear load was considered as the input parameter, whereas the wear rate and friction coefficient as the output parameters. Simulations using the identified models were compared with experimental results and it was found that the modeling of wear process was satisfactory. Copyright © 2014 SAE International.en_US
dc.identifier.doi10.4271/2014-01-0947en_US
dc.identifier.issn0148-7191
dc.identifier.scopus2-s2.0-84899567682en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttp://doi.org/10.4271/2014-01-0947
dc.identifier.urihttps://hdl.handle.net/20.500.12885/1380
dc.identifier.volume1en_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorUzunsoy, Deniz
dc.language.isoenen_US
dc.publisherSAE Internationalen_US
dc.relation.ispartofSAE Technical Papersen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subject[No Kerywords]en_US
dc.titlePrediction of wear behavior of aluminum alloy reinforced with carbon nanotubes using nonlinear identificationen_US
dc.typeConference Objecten_US

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