dc.contributor.author | Deka, Surja | |
dc.contributor.author | Mozafari, Farzin | |
dc.contributor.author | Mallick, Ashis | |
dc.date.accessioned | 2024-01-15T09:37:58Z | |
dc.date.available | 2024-01-15T09:37:58Z | |
dc.date.issued | 2023 | en_US |
dc.identifier.issn | 0301-679X | |
dc.identifier.issn | 1879-2464 | |
dc.identifier.other | WOS:001109249000001 | |
dc.identifier.uri | https://doi.org/10.1016/j.triboint.2023.109063 | |
dc.identifier.uri | https://hdl.handle.net/20.500.12573/1898 | |
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.language.iso | eng | en_US |
dc.publisher | ELSEVIER SCI LTD | en_US |
dc.relation.isversionof | 10.1016/j.triboint.2023.109063 | 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 |
dc.contributor.department | AGÜ, Mühendislik Fakültesi, Makine Mühendisliği Bölümü | en_US |
dc.contributor.authorID | 0000-0001-8218-4410 | en_US |
dc.contributor.institutionauthor | Mozafari, Farzin | |
dc.identifier.volume | 190 | en_US |
dc.identifier.startpage | 1 | en_US |
dc.identifier.endpage | 20 | en_US |
dc.relation.journal | ELSEVIER SCI LTD | en_US |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |