Artificial neural network-based prediction technique for wear loss quantities in Mo coatings

dc.contributor.author	Cetinel, H.
dc.contributor.author	Ozturk, H.
dc.contributor.author	Celik, E.
dc.contributor.author	Karlik, B.
dc.date.accessioned	2021-01-25T19:36:55Z
dc.date.available	2021-01-25T19:36:55Z
dc.date.issued	2006
dc.identifier	10.1016/j.wear.2006.01.040
dc.identifier.issn	0043-1648
dc.identifier.uri	https://dspace.yasar.edu.tr/xmlui/handle/20.500.12742/8392
dc.description.abstract	Mo 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.iso	English
dc.publisher	ELSEVIER SCIENCE SA
dc.title	Artificial neural network-based prediction technique for wear loss quantities in Mo coatings
dc.type	Article
dc.relation.firstpage	1064
dc.relation.lastpage	1068
dc.relation.volume	261
dc.relation.issue	10
dc.description.woscategory	Engineering, Mechanical; Materials Science, Multidisciplinary
dc.description.wosresearcharea	Engineering; Materials Science
dc.identifier.wosid	WOS:000242632600002

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