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| Naji, M. |
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| Motta, Antonella |
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| Aletan, Dirar |
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| Mohamed, Tarek |
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| Ertürk, Emre |
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| Taccardi, Nicola |
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| Kononenko, Denys |
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| Petrov, R. H. | Madrid |
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| Alshaaer, Mazen | Brussels |
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| Bih, L. |
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| Casati, R. |
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| Muller, Hermance |
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| Kočí, Jan | Prague |
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| Šuljagić, Marija |
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| Kalteremidou, Kalliopi-Artemi | Brussels |
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| Azam, Siraj |
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| Ospanova, Alyiya |
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| Blanpain, Bart |
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| Ali, M. A. |
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| Rančić, M. |
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| Ollier, Nadège |
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| Azevedo, Nuno Monteiro |
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| Landes, Michael |
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| Rignanese, Gian-Marco |
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Kumar, Ashwani
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (8/8 displayed)
- 2023Co-design Model for Neuromorphic Technology Development in Rolling Element Bearing Condition Monitoring
- 2023Wear behavior of nano-La2O3 dispersed ferritic ODS steel developed by spark plasma sinteringcitations
- 2023Electrohydrodynamic capillary instability of Rivlin–Ericksen viscoelastic fluid film with mass and heat transfercitations
- 2022Static and dynamic behavior analysis of Al-6063 alloy using modified Hopkinson barcitations
- 2022Development of novel flexible photodetectors based on 0.5PVA/0.5PVP/Fe:NiO nanocomposite system with enhanced optoelectronic propertiescitations
- 2022Biodegradable and Biocompatible Polymeric Nanocomposites for Tissue Engineering Applicationscitations
- 2022Effect of REOs on tribological behavior of aluminum hybrid composites using ANNcitations
- 2021The Effect of Modifications of Activated Carbon Materials on the Capacitive Performance: Surface, Microstructure, and Wettabilitycitations
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booksection
Effect of REOs on tribological behavior of aluminum hybrid composites using ANN
Abstract
Current paper is to explore the effect of cerium oxide as REOs on tribological properties of aluminium hybrid composites with different composition of reinforcements like SiC, Al2O3 and CeO2. For this motive composites had been synthesized by varying SiC/ Al2O3 from 2.5 wt% to 7.5 wt% with equal proportion and CeO2 from 0.5 wt% to 2.5 wt% in Al-6061 matrix. The addition of cerium oxide with contents of 0.5 wt% to 2.5 wt% into the aluminium composites leads to the formation of intermetallic phase (Al4Ce3) results in improved wear rate up to 87.28%. To predict the effect of incorporating REOs reinforcements on the tribological behaviour of hybrid composites, experimental data of wear tests are used to create 3D models named Levenberg-Marquardt Algorithm (LMA) neural networks. The consequences show that the LMA- neural networks models have a high level of accuracy in the prediction of tribological properties for REOs reinforced-aluminium hybrid composites.Keywords: Rare Earth Oxides; Levenberg-Marquardt Algorithm; Specific wear rate; Microstructure; grain boundary.