Microstructural, Mechanical, Tribological, and Corrosion Behavior of Ultrafine Bio-Degradable Mg/CeO2 Nanocomposites: Machine Learning-Based Modeling and Experiment
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Date
2023-12
Journal Title
Journal ISSN
Volume Title
Publisher
Elsevier Sci Ltd
Open Access Color
Green Open Access
No
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Publicly Funded
No
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.
Description
Mozafari, Farzin/0000-0001-8218-4410; Deka, Surja/0000-0002-5776-3880
Keywords
Microstructural Characterization, Tribological Properties, Corrosion, Machine Learning
Fields of Science
Citation
WoS Q
Q1
Scopus Q
Q1

OpenCitations Citation Count
5
Source
Tribology International
Volume
190
Issue
Start Page
109063
End Page
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Citations
CrossRef : 1
Scopus : 14
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Mendeley Readers : 17
SCOPUS™ Citations
14
checked on May 02, 2026
Web of Science™ Citations
13
checked on May 02, 2026
Page Views
1
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Downloads
10
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