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

Simple item page
dc.contributor.authorÇetinel H.
dc.contributor.authorÖztürk H.
dc.contributor.authorÇelik E.
dc.contributor.authorKarlik B.
dc.date.accessioned2024-07-22T08:23:10Z
dc.date.available2024-07-22T08:23:10Z
dc.date.issued2006
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-spray system were investigated for different loads and environment conditions. The Mo coatings were subjected to sliding wear against AISI 303 counter bodies under dry and acid environments. In a theoretical study, cross-sectional microhardness from the surface of the coatings, loads, environment and friction test durations were chosen as variable parameters in order to determine the amount of wear loss. The numerical results obtained via a neural network model were compared with the experimental results. Agreement between the experimental and numerical results is reasonably good. © 2006 Elsevier B.V. All rights reserved.
dc.identifier.DOI-ID10.1016/j.wear.2006.01.040
dc.identifier.issn00431648
dc.identifier.urihttp://akademikarsiv.cbu.edu.tr:4000/handle/123456789/19415
dc.language.isoEnglish
dc.subjectFriction
dc.subjectMathematical models
dc.subjectMolybdenum
dc.subjectNeural networks
dc.subjectPlasma spraying
dc.subjectSprayed coatings
dc.subjectWear of materials
dc.subjectFriction
dc.subjectMathematical models
dc.subjectMolybdenum
dc.subjectNeural networks
dc.subjectPlasma spraying
dc.subjectWear of materials
dc.subjectMo coatings
dc.subjectNeural network model
dc.subjectSprayed coatings
dc.titleArtificial neural network-based prediction technique for wear loss quantities in Mo coatings
dc.typeArticle

Files

Collections

Scopus Koleksiyonu