[HTML][HTML] An enhanced Dendritic Neural Algorithm to predict the wear behavior of alumina coated silver reinforced copper nanocomposites

AM Sadoun, IMR Najjar, A Fathy, M Abd Elaziz… - Alexandria Engineering …, 2023 - Elsevier
Due to the lack of analytical solutions for the wear rates prediction of nanocomposites, we
present a modified machine learning method named Dendritic Neural (DN) to predict the …

Influence of agro-based reinforcements on the properties of aluminum matrix composites: a systematic review

B Parveez, MA Maleque, NA Jamal - Journal of Materials Science, 2021 - Springer
Aluminum matrix composites (AMCs) have been extensively studied primarily due to higher
strength-to-weight ratio, lower cost, and higher wear resistance properties. However …

[HTML][HTML] Effect of light weight reinforcement and heat treatment process parameters on morphological and wear aspects of hypoeutectic Al-Si based composites-a …

K Nithesh, MC Gowrishankar, R Nayak… - Journal of Materials …, 2021 - Elsevier
Even though the importance of composites as engineering materials is identified in the last
century, the actual research hunt started completely in the recent years. These materials …

Prediction of wear performance of ZK60/CeO2 composites using machine learning models

F Aydin, R Durgut, M Mustu, B Demir - Tribology International, 2023 - Elsevier
In this study, ZK60 magnesium matrix composites were produced with different content of
CeO 2 (0.25, 0.5 and 1 wt%) by hot pressing. The wear behaviour of the samples was …

The investigation of the effect of particle size on wear performance of AA7075/Al2O3 composites using statistical analysis and different machine learning methods

F Aydin - Advanced Powder Technology, 2021 - Elsevier
Abstract In this study, 7075-Al 2 O 3 (5 wt%) composites with a particle size of 0.3 µm, 2 µm,
and 15 µm were developed by hot pressing. The dry sliding wear performance of the …

Effect of nano Al2O3 coated Ag reinforced Cu matrix nanocomposites on mechanical and tribological behavior synthesis by P/M technique

A Mohamed, MM Mohammed… - Journal of …, 2020 - journals.sagepub.com
In this study, copper powder was reinforced with different weight percentages of Al2O3
particles (0, 5, 10, and 15 wt.% Al2O3 coated Ag) to produce Cu-Al2O3 composites by …

Microstructural, mechanical and wear behavior of electroless assisted silver coated Al2O3–Cu nanocomposites

AM Sadoun, AF Meselhy, AW Abdallah - Materials Chemistry and Physics, 2021 - Elsevier
Electro-less deposition synthesized Al2O3 nanoparticles coated Ag with different weight
percent (0, 2.5, 5, 7.5 and 10) were mixed with pure Cu powder to manufacture Cu–Al 2 O 3 …

[HTML][HTML] Optimization of dry sliding wear behavior of aluminium-based hybrid MMC's using experimental and DOE methods

A Aabid, MA Murtuza, SA Khan, M Baig - journal of materials research and …, 2022 - Elsevier
Due to its exceptional mechanical characteristics combined with lightweight and fuel-
efficient materials, metal matrix composites (MMCs) have largely been developed for the …

Wear resistance and tribological properties of GNPs and MWCNT reinforced AlSi18CuNiMg alloys produced by stir casting

ME Turan, F Aydin, Y Sun, H Zengin, Y Akinay - Tribology International, 2021 - Elsevier
The present work aims to produce Multiwalled Carbon Nanotube (MWCNT) and Graphene
Nanoplatelets (GNPs) reinforced AlSiCuNiMg alloy matrix composites via stir casting. The …

Microstructure, mechanical properties, and corrosion behavior of boron carbide reinforced aluminum alloy (Al-Fe-Si-Zn-Cu) matrix composites produced via powder …

M Meignanamoorthy, M Ravichandran, V Mohanavel… - Materials, 2021 - mdpi.com
In this paper, Al-Fe-Si-Zn-Cu (AA8079) matrix composites with several weight percentages
of B4C (0, 5, 10, and 15) were synthesized by powder metallurgy (PM). The essential …