Microstructural, mechanical, tribological, and corrosion behavior of ultrafine bio-degradable Mg/CeO2 nanocomposites: Machine learning-based modeling and experiment

dc.contributor.author Deka, Surja
dc.contributor.author Mozafari, Farzin
dc.contributor.author Mallick, Ashis
dc.contributor.authorID 0000-0001-8218-4410 en_US
dc.contributor.department AGÜ, Mühendislik Fakültesi, Makine Mühendisliği Bölümü en_US
dc.contributor.institutionauthor Mozafari, Farzin
dc.date.accessioned 2024-01-15T09:37:58Z
dc.date.available 2024-01-15T09:37:58Z
dc.date.issued 2023 en_US
dc.description.abstract The 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.sponsorship S.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.identifier.endpage 20 en_US
dc.identifier.issn 0301-679X
dc.identifier.issn 1879-2464
dc.identifier.other WOS:001109249000001
dc.identifier.startpage 1 en_US
dc.identifier.uri https://doi.org/10.1016/j.triboint.2023.109063
dc.identifier.uri https://hdl.handle.net/20.500.12573/1898
dc.identifier.volume 190 en_US
dc.language.iso eng en_US
dc.publisher ELSEVIER SCI LTD en_US
dc.relation.isversionof 10.1016/j.triboint.2023.109063 en_US
dc.relation.journal ELSEVIER SCI LTD en_US
dc.relation.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.subject Microstructural characterization en_US
dc.subject Tribological properties en_US
dc.subject Corrosion en_US
dc.subject Machine learning en_US
dc.title Microstructural, mechanical, tribological, and corrosion behavior of ultrafine bio-degradable Mg/CeO2 nanocomposites: Machine learning-based modeling and experiment en_US
dc.type article en_US

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