[HTML][HTML] Recent advances on graphene: Synthesis, properties and applications
F Zhang, K Yang, G Liu, Y Chen, M Wang, S Li… - Composites Part A …, 2022 - Elsevier
Graphene has recently gained significant interest owing to its advantageous
physicochemical and biological properties. However, its preparation strategies, main …
physicochemical and biological properties. However, its preparation strategies, main …
Review of two-dimensional nanomaterials in tribology: Recent developments, challenges and prospects
R Wang, F Zhang, K Yang, Y **ong, J Tang… - Advances in Colloid and …, 2023 - Elsevier
From our ordinary lives to various mechanical systems, friction and wear are often
unavoidable phenomena that are heavily responsible for excessive expenditures of …
unavoidable phenomena that are heavily responsible for excessive expenditures of …
Prediction of tribological properties of alumina-coated, silver-reinforced copper nanocomposites using long short-term model combined with golden jackal optimization
In this paper, we present a newly modified machine learning model that employs a long
short-term memory (LSTM) neural network model with the golden jackal optimization (GJO) …
short-term memory (LSTM) neural network model with the golden jackal optimization (GJO) …
[HTML][HTML] An enhanced Dendritic Neural Algorithm to predict the wear behavior of alumina coated silver reinforced copper nanocomposites
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 …
present a modified machine learning method named Dendritic Neural (DN) to predict the …
A study on the tribological performance of nanolubricants
In recent years, the tribology field has expanded with the advent of nanolubrication.
Nanolubricants are the name given to the dispersion of nanoparticles in a base oil, and has …
Nanolubricants are the name given to the dispersion of nanoparticles in a base oil, and has …
[HTML][HTML] Enhanced random vector functional link based on artificial protozoa optimizer to predict wear characteristics of Cu-ZrO2 nanocomposites
Owing to the absence of scientific methods for predicting nanocomposites' wear rates, a
freshly updated machine learning method that uses an Artificial Protozoa Optimizer (APO) to …
freshly updated machine learning method that uses an Artificial Protozoa Optimizer (APO) to …
Structural, mechanical and tribological properties of Cu–ZrO2/GNPs hybrid nanocomposites
Abstract Hybrid Cu–ZrO 2/GNPs nanocomposites were successfully produced using powder
metallurgy technique. The effect of GNPs mass fraction, 0, 0.5, 1 and 1.5%, on mechanical …
metallurgy technique. The effect of GNPs mass fraction, 0, 0.5, 1 and 1.5%, on mechanical …
[HTML][HTML] Experimental study on properties of Al–Al2O3 nanocomposite hybridized by graphene nanosheets
Abstract In this study, Al–Al 2 O 3–Ag coated graphene hybrid nanocomposites was
fabricated by Electroless coating and powder metallurgy. Electro-less deposition was used …
fabricated by Electroless coating and powder metallurgy. Electro-less deposition was used …
Research status and development trend of preparation technology of ceramic particle dispersion strengthened copper-matrix composites
YQ Qin, Y Tian, YQ Peng, LM Luo, X Zan, Q Xu… - Journal of Alloys and …, 2020 - Elsevier
Copper is equipped with excellent electrical and thermal properties. However, its poor
mechanical properties and poor high-temperature stability prevent its extensive used in …
mechanical properties and poor high-temperature stability prevent its extensive used in …
Effect of nano Al2O3 coated Ag reinforced Cu matrix nanocomposites on mechanical and tribological behavior synthesis by P/M technique
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 …