[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 …
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 …
composites due to the in situ effect caused by the addition of nanoparticle reinforcement and …
Utilization of Improved Machine Learning Method Based on Artificial Hummingbird Algorithm to Predict the Tribological Behavior of Cu-Al2O3 Nanocomposites …
This paper presents a machine learning model to predict the effect of Al2O3 nanoparticles
content on the wear rates in Cu-Al2O3 nanocomposite prepared using in situ chemical …
content on the wear rates in Cu-Al2O3 nanocomposite prepared using in situ chemical …
Recycling waste sources into nanocomposites of graphene materials: Overview from an energy-focused perspective
In line with the global recognition of waste-to-wealth concept aiming for circular economy,
scientific articles are published in greatly increasing number on the eco-friendly and …
scientific articles are published in greatly increasing number on the eco-friendly and …
[HTML][HTML] The effect of Cu coated Al2O3 particle content and densification methods on the microstructure and mechanical properties of Al matrix composites
In the study, aluminum-based nanocomposites were reinforced with different concentrations
of Al 2 O 3 nanoparticles ranging from 0 to 15 wt.%. The Al 2 O 3 nanoparticles were coated …
of Al 2 O 3 nanoparticles ranging from 0 to 15 wt.%. The Al 2 O 3 nanoparticles were coated …
Prediction of wear rates of Al-TiO2 nanocomposites using artificial neural network modified with particle swarm optimization algorithm
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 …
complex using mathematical models due to the effect of the manufacturing process on the …
The grain size effect on corrosion property of Al2Cr5Cu5Fe53Ni35 high-entropy alloy in marine environment
The influence of grain size on the localized corrosion properties of a new high-entropy alloy
(Al 2 Cr 5 Cu 5 Fe 53 Ni 35) in seawater is investigated in the present study. After Al 2 Cr 5 …
(Al 2 Cr 5 Cu 5 Fe 53 Ni 35) in seawater is investigated in the present study. After Al 2 Cr 5 …
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 …
particles (0, 5, 10, and 15 wt.% Al2O3 coated Ag) to produce Cu-Al2O3 composites by …
An investigation of microstructural background for improved corrosion resistance of WE43 magnesium-based composites with ZnO and Cu/ZnO additions
O Esmaeilzadeh, AR Eivani, M Mehdizade… - Journal of Alloys and …, 2022 - Elsevier
In this research, WE43-based nanocomposites were fabricated by addition of nano-and
micro-sized particles of ZnO and Cu/ZnO, followed by friction stir processing (FSP). In …
micro-sized particles of ZnO and Cu/ZnO, followed by friction stir processing (FSP). In …
Effect of copper oxide (CuO) and vanadium oxide (V2O5) addition on the structural, optical and electrical properties of corundum (α-Al2O3)
MAA Al-Mushaki, SA Al-Ariki, A Alnehia - Scientific Reports, 2023 - nature.com
In this work, we prepared a pure α-Al2O3, α-Al2O3/CuO (AC) and α-Al2O3/V2O5 (AV)
nanocomposite. The sol–gel method was used to prepare pure α-Al2O3,(AC) and (AV) …
nanocomposite. The sol–gel method was used to prepare pure α-Al2O3,(AC) and (AV) …
On the understanding and prediction of tribological properties of Al-TiO2 nanocomposites using artificial neural network
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 …
mathematical models cannot accurately predict the wear rates and coefficients of friction of …