[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 …

[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] 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 …

On the understanding and prediction of tribological properties of Al-TiO2 nanocomposites using artificial neural network

I Najjar, A Sadoun, A Fathy - Journal of Composite Materials, 2023 - journals.sagepub.com
Due to the influence of the manufacturing process on the composite's wear properties,
mathematical models cannot accurately predict the wear rates and coefficients of friction of …

A modified artificial neural network to predict the tribological properties of Al-SiC nanocomposites fabricated by accumulative roll bonding process

IMR Najjar, AM Sadoun, A Ibrahim… - Journal of …, 2023 - journals.sagepub.com
This work highlights the major influence of SiC concentration and plastic deformation on
boosting wear rates of aluminum composites supplemented with SiC particles comprising …

[HTML][HTML] Microstructure and mechanical properties of AT31/ATX3105 magnesium alloy composite sheets fabricated by accumulative roll bonding

ZG Li, WQ Li, FN Liu, PK Ma, PL Liu, HL Jia - Journal of Materials Research …, 2024 - Elsevier
This study investigates the influence of accumulative roll bonding (ARB) cycles on the
microstructure and room temperature (RT) mechanical properties of AT31/ATX3105 …

[HTML][HTML] Improving strength-ductility synergy of nano/ultrafine-structured Al/Brass composite by cross accumulative roll bonding process

M Naseri, M Reihanian, AO Moghaddam… - Journal of Materials …, 2023 - Elsevier
Increasing the strength of metallic multilayered composites fabricated through accumulative
roll bonding (ARB) is typically accompanied by a sacrifice in ductility. In the current work, we …

[HTML][HTML] Texture evolution and hardening behavior of Al/IF composite produced through severe plastic deformation

A Shabani, A Bagheri, MR Toroghinejad… - Materials Science and …, 2024 - Elsevier
In this research, the microstructure, texture, and work hardening behavior of the Al/IF
composite were investigated. The composites were produced through up to 7 cycles of …

Physics-Informed machine learning for tribological properties prediction of S32750/CFRPEEK tribopair under seawater lubrication via PISSA-CNN-LSTM

F Yin, H Luo, S Nie, H Ji, Z Ma - Tribology International, 2024 - Elsevier
Tribological properties and wear mechanisms of S32750 stainless steel/carbon fiber-
reinforced polyetheretherketone (CFRPEEK) tribopair in seawater under different salinities …

Optimizing FDM 3D printing parameters for improved tensile strength using the Takagi–Sugeno fuzzy neural network

H Wei, L Tang, H Qin, H Wang, C Chen, Y Li… - Materials Today …, 2024 - Elsevier
Abstract 3D printing is a popular technology for fabricating three-dimensional objects, and it
is crucial to select appropriate printing parameters to enhance production quality, reduce …