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dc.contributor.authorDeka, Surja
dc.contributor.authorMozafari, Farzin
dc.contributor.authorMallick, Ashis
dc.date.accessioned2024-01-15T09:37:58Z
dc.date.available2024-01-15T09:37:58Z
dc.date.issued2023en_US
dc.identifier.issn0301-679X
dc.identifier.issn1879-2464
dc.identifier.otherWOS:001109249000001
dc.identifier.urihttps://doi.org/10.1016/j.triboint.2023.109063
dc.identifier.urihttps://hdl.handle.net/20.500.12573/1898
dc.description.abstractThe present study investigated the microstructural, mechanical, tribological, and corrosion behavior of near-dense and low-volume fraction magnesium-cerium dioxide (Mg/CeO2 ) (x = 0.5, 1, and 1.5 vol.%) nanocomposites synthesized by in-situ hot extrusion assisted powder metallurgy (PM) process. Results showed a significant improvement in wear resistance for Mg/CeO2 nanocomposite compared to monolithic Mg at varied applied loads. Microindentation tests were performed to access the Vickers microhardness homogeneity along the extrusion direction. The corrosion analysis revealed that introducing ceria nanoparticles enhanced Mg’s corrosion resistance and expedited the development of an apatite layer on the surface, providing enhanced protection. A feedforward neural network and Long Short-Term Memory (LSTM) network were also developed to characterize nanocomposites’ wear and corrosion behavior.en_US
dc.description.sponsorshipS.D. and A.M. sincerely acknowledge the financial support from the ASEAN-Indian Science and Technology Development Fund (AISTDF), DST, Govt. of India, under Grant No. IMRC/AISTDF/R&D/P-14/2018. F.M. acknowledges the partial support provided by the AGÜ foundation. The authors appreciate DST, India, for providing a 3D profilometer characterization facility through the FIST project grant number SR/FST/ET-II/2018/222(C).en_US
dc.language.isoengen_US
dc.publisherELSEVIER SCI LTDen_US
dc.relation.isversionof10.1016/j.triboint.2023.109063en_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectMicrostructural characterizationen_US
dc.subjectTribological propertiesen_US
dc.subjectCorrosionen_US
dc.subjectMachine learningen_US
dc.titleMicrostructural, mechanical, tribological, and corrosion behavior of ultrafine bio-degradable Mg/CeO2 nanocomposites: Machine learning-based modeling and experimenten_US
dc.typearticleen_US
dc.contributor.departmentAGÜ, Mühendislik Fakültesi, Makine Mühendisliği Bölümüen_US
dc.contributor.authorID0000-0001-8218-4410en_US
dc.contributor.institutionauthorMozafari, Farzin
dc.identifier.volume190en_US
dc.identifier.startpage1en_US
dc.identifier.endpage20en_US
dc.relation.journalELSEVIER SCI LTDen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US


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