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dc.contributor.authorCetinel, H.
dc.contributor.authorOzturk, H.
dc.contributor.authorCelik, E.
dc.contributor.authorKarlik, B.
dc.date.accessioned2021-01-25T20:52:14Z
dc.date.available2021-01-25T20:52:14Z
dc.date.issued2006
dc.identifier10.1016/j.wear.2006.01.040
dc.identifier.issn00431648
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-33751062861&doi=10.1016%2fj.wear.2006.01.040&partnerID=40&md5=ade87252a17d8536467cc3e3c94d42a1
dc.identifier.urihttps://dspace.yasar.edu.tr/xmlui/handle/20.500.12742/10771
dc.description.abstractMo coated materials are used in automotive, aerospace, pulp and paper industries in order to protect machine parts against wear and corrosion. In this study, the wear amounts of Mo coatings deposited on ductile iron substrates using an atmospheric plasma-
dc.language.isoEnglish
dc.publisherWear
dc.titleArtificial neural network-based prediction technique for wear loss quantities in Mo coatings
dc.typeArticle
dc.relation.firstpage1064
dc.relation.lastpage1068
dc.relation.volume261
dc.relation.issue10
dc.description.affiliationsDepartment of Mechanical Engineering, Celal Bayar University, Muradiye Kampusu PK:1, Manisa, 45140, Turkey; Department of Mechanical Engineering, Dokuz Eylül University, Bornova, Izmir 35100, Turkey; Department of Metallurgical and Materials Engineering,


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