[HTML][HTML] Influence of nanoparticles addition on the fatigue failure behavior of metal matrix composites: Comprehensive review

W Abd-Elaziem, M Khedr, AH Elsheikh, J Liu… - Engineering Failure …, 2024 - Elsevier
Light-weight, high-strength metal matrix composites (MMCs) have been gaining prominence
in various industrial applications in which the materials are exposed to static and dynamic …

Review on the solid-state welding of steels: diffusion bonding and friction stir welding processes

M Khedr, A Hamada, A Järvenpää, S Elkatatny… - Metals, 2022 - mdpi.com
Solid-state welding (SSW) is a relatively new technique, and ongoing research is being
performed to fulfill new design demands, deal with contemporary material advancements …

[HTML][HTML] On the prediction of the mechanical properties of ultrafine grain Al-TiO2 nanocomposites using a modified long-short term memory model with beluga whale …

GS Alsoruji, AM Sadoun, M Abd Elaziz… - Journal of Materials …, 2023 - Elsevier
Mechanical properties of fine grain nanocomposites differ from those of conventional
composites due to the in situ effect caused by the addition of nanoparticle reinforcement and …

[HTML][HTML] Prediction of the tensile properties of ultrafine grained Al–SiC nanocomposites using machine learning

IMR Najjar, AM Sadoun, M Abd Elaziz… - Journal of Materials …, 2023 - Elsevier
We discovered and analyzed the new prediction model by using machine learning (ML) for
the tensile strength of aluminum nanocomposites reinforced with μ-SiC particles fabricated …

Investigation of anticorrosion, flame retardant and mechanical properties of polyurethane/GO nanocomposites coated AJ62 Mg alloy for aerospace/automobile …

JR Xavier - Diamond and Related Materials, 2023 - Elsevier
The addition of cerium disulphide (CeS 2), 3, 5-Diamino-1, 2, 4-triazole (DAT), and
graphene oxide (GO) has improved the anticorrosion, flame retardant, and mechanical …

Prediction of wear rates of Al-TiO2 nanocomposites using artificial neural network modified with particle swarm optimization algorithm

I Najjar, A Sadoun, MN Alam, A Fathy - Materials Today Communications, 2023 - Elsevier
The prediction of the wear rates and coefficient of friction of composite materials is relatively
complex using mathematical models due to the effect of the manufacturing process on the …

[HTML][HTML] Optimization of the accumulative roll bonding process parameters and SiC content for optimum enhancement in mechanical properties of Al-Ni-SiC …

WS Barakat, MK Younis, AM Sadoun, A Fathy… - Alexandria Engineering …, 2023 - Elsevier
Abstract Accumulative Roll Bonding (ARB) is one of the main techniques to manufacture
nanocomposites, however, due to the large number of parameters that control this process …

[HTML][HTML] On the microstructural and mechanical responses of dual-matrix Al-Ni/SiC composites manufactured using accumulative roll bonding

MIA Habba, MK Younis, AM Sadoun, A Fathy… - Alexandria Engineering …, 2023 - Elsevier
This article discusses the correlation between the microstructural and mechanical changes
in the dual-matrix Al-Ni/SiC composites processed by Accumulative Roll Bonding (ARB) …

[HTML][HTML] Response mechanism of matrix microstructure evolution and mechanical behavior to Mg/Al composite plate by hard-plate accumulative roll bonding

AX Zhang, F Li, P Da Huo, WT Niu, RH Gao - Journal of Materials Research …, 2023 - Elsevier
In the traditional accumulative roll bonding (ARB) process of heterogeneous composite
laminates, due to the excessive strain caused by accumulative roll bonding, many problems …

Experimental study on tribological properties of Cu–Al2O3 nanocomposite hybridized by graphene nanoplatelets

AM Sadoun, A Fathy - Ceramics International, 2019 - Elsevier
Mechanical and tribological properties of Cu–Al 2 O 3 nanocomposite hybridized by silver
(Ag) coated graphene nanoplatelets (GNPs) were studied. Four different GNPs content, 0.3 …