4.4 Article

Prediction of Tribological Properties of Alumina-Coated, Silver-Reinforced Copper Nanocomposites Using Long Short-Term Model Combined with Golden Jackal Optimization

Related references

Note: Only part of the references are listed.
Article Engineering, Multidisciplinary

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

A. M. Sadoun et al.

Summary: Due to the lack of analytical solutions, a modified machine learning method named Dendritic Neural (DN) was used to predict the wear performance of copper-alumina (Cu-Al2O3) nanocomposites. The optimal weights of DN were determined by a new meta-heuristic technique named Artificial Hummingbird Algorithm (AHA) to improve its performance. The developed model using AHA algorithm showed excellent predictability of the wear rate and coefficient of friction for Cu-Al2O3 nanocomposites with reinforcement content up to 10%.

ALEXANDRIA ENGINEERING JOURNAL (2023)

Article Materials Science, Ceramics

Predicting the mechanical properties of Cu-Al2O3 nanocomposites using machine learning and finite element simulation of indentation experiments

I. M. R. Najjar et al.

Summary: This study utilized micromechanics model, finite element simulation, and machine learning to predict the mechanical properties of Cu-Al2O3 nanocomposites by predicting the elastic modulus, yield strength, and tangent stress. The results showed that the proposed model accurately predicted the mechanical properties of the materials.

CERAMICS INTERNATIONAL (2022)

Article Mathematics

Utilizing a Long Short-Term Memory Algorithm Modified by Dwarf Mongoose Optimization to Predict Thermal Expansion of Cu-Al2O3 Nanocomposites

Ayman M. Sadoun et al.

Summary: This paper presents a machine learning model to predict the effect of Al2O3 nanoparticle content on the coefficient of thermal expansion in Cu-Al2O3 nanocomposites. The model combines a modified LSTM model with DMO optimization algorithm to predict the behavior of the composite. Experimental results show that the precipitation of Al2O3 nanoparticles at the grain boundaries of the Cu matrix leads to a decrease in the thermal expansion coefficient (TEC).

MATHEMATICS (2022)

Article Computer Science, Artificial Intelligence

Golden jackal optimization: A novel nature-inspired optimizer for engineering applications

Nitish Chopra et al.

Summary: The Golden Jackal Optimization (GJO) algorithm, inspired by the hunting behavior of golden jackals, utilizes prey searching, enclosing, and pouncing steps mathematically to solve challenging engineering problems with unidentified search spaces.

EXPERT SYSTEMS WITH APPLICATIONS (2022)

Article Materials Science, Ceramics

Electroless-plating of Ag nanoparticles on Al2O3 and graphene Nano sheets (GNs) for improved wettability and properties of Al-Al2O3/GNs nanocomposites

A. M. Sadoun et al.

Summary: The use of electroplating technology improved wettability between composite components, resulting in dense samples with high hardness; The silver plating enhanced the surface characteristics of Al2O3 and GNs nanoparticles; Compared to available techniques and results in the literature, a hybrid nano-composite with 1.85 times larger hardness than available Al-GNs nanocomposites and 1.75 times larger hardness than available Al-Al2O3/GNs nanocomposites was achieved.

CERAMICS INTERNATIONAL (2021)

Article Construction & Building Technology

Utilizing deep learning and advanced image processing techniques to investigate the microstructure of a waxy bitumen

Navid Hasheminejad et al.

Summary: This study aims to construct a deep-learning-based object-detection model that can detect bee patterns in asphalt, showing changes in the microstructure of asphalt due to aging and the relationship between aging levels and roughness parameters.

CONSTRUCTION AND BUILDING MATERIALS (2021)

Article Materials Science, Ceramics

Effect of lattice structure evolution on the thermal and mechanical properties of Cu-Al2O3/GNPs nanocomposites

Abdulrahman Khamaj et al.

Summary: In this study, Cu-based hybrid nanocomposites reinforced by Al2O3 and GNPs were manufactured using high-energy ball milling, compaction, and sintering. Experimental consideration of different processing parameters led to the fabrication of nanocomposites with superior mechanical and thermal properties, particularly for the composition containing 0.5% GNPs sintered at 1000 C. Improved performance was attributed to factors such as low stacking fault energy, small crystallite size, and better dispersion of nano-particles in the matrix.

CERAMICS INTERNATIONAL (2021)

Article Engineering, Multidisciplinary

Automatic laser profile recognition and fast tracking for structured light measurement using deep learning and template matching

Shengchun Wang et al.

Summary: The paper introduces the application of measurement technology based on structured light in rail profile detection. By using a deep learning algorithm to recognize different types of rail profiles and employing a template-matching driven tracking algorithm, rapid tracking of railhead laser stripes is achieved.

MEASUREMENT (2021)

Article Biotechnology & Applied Microbiology

Viral reverse engineering using Artificial Intelligence and big data COVID-19 infection with Long Short-term Memory (LSTM)

Ahmad M. Abu Haimed et al.

Summary: This research utilized AI and big data for reverse engineering to study the patterns and evolution behavior of SARS-CoV-2, identifying similarities and common characteristics among viral families and predicting future mutations of the virus. The study also presented a mathematical formula to calculate evolution differences between viruses based on phylogenic tree data, showing that SARS-CoV-2 has fast mutation evolution. AI techniques were used to predict the next evolved instance of SARS-CoV-2, focusing on understanding viral similarities, patterns, and evolution behavior systematically and logically.

ENVIRONMENTAL TECHNOLOGY & INNOVATION (2021)

Article Engineering, Chemical

The wear and arc erosion behavior of novel copper based functionally graded electrical contact materials fabricated by hot pressing assisted electroless plating

Onur Guler et al.

Summary: In this study, novel copper based functionally graded electrical contact materials were fabricated using hot pressing technique, with the addition of silver, nickel and chrome plated copper core particles. The wear and arc-erosion performances of the developed materials were significantly improved compared to pure copper, with wear mechanism dominated by abrasive wear for the functionally graded materials including electroless nickel and chromium coating layer.

ADVANCED POWDER TECHNOLOGY (2021)

Article Engineering, Civil

The decisive impact of microstructure on the machinability of pure copper

Xiaoxiang Sun et al.

Summary: The study focused on the machinability of UFG pure copper processed by twist extrusion, showing that the microstructure evolution through dynamic recrystallization mechanisms improved tensile strengths and hardness but reduced ductility. This enhanced machinability was attributed to lower thermal conductivity and strain localization within shear bands.

ARCHIVES OF CIVIL AND MECHANICAL ENGINEERING (2021)

Article Materials Science, Multidisciplinary

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

A. M. Sadoun et al.

Summary: Cu-Al2O3 nanocomposites were prepared by mixing Ag-coated Al2O3 nanoparticles with pure Cu powder through electro-less deposition, with excellent dispersion of Al2O3 nanoparticles achieved at high weight percentage. The addition of Ag-coated Al2O3 nanoparticles improved the density, hardness, and wear resistance of the composites, with the compressive strength reaching 33% improvement compared to pure Cu when the Al2O3 content was increased to 10 wt.%.

MATERIALS CHEMISTRY AND PHYSICS (2021)

Article Engineering, Multidisciplinary

Machine Learning in Chemical Engineering: Strengths, Weaknesses, Opportunities, and Threats

Maarten R. Dobbelaere et al.

Summary: Machine learning has significant advantages in the field of chemical engineering, including flexibility, accuracy, and execution speed, but also comes with weaknesses such as lack of interpretability. The biggest opportunities lie in using machine learning for real-time optimization and planning, while the greatest threat is inappropriate use.

ENGINEERING (2021)

Article Materials Science, Multidisciplinary

Microstructure and wear characterization of Al2O3 reinforced silver coated copper matrix composites by electroless plating and hot pressing methods

Onur Guler et al.

Summary: The study found that silver plated copper matrix powders with Al2O3 reinforcement showed excellent hardness and lowest wear rate, although the electrical conductivity decreased with increasing Al2O3 content.

MATERIALS TODAY COMMUNICATIONS (2021)

Article Materials Science, Ceramics

Correlation between micro/nano-structure, mechanical and tribological properties of copper-zirconia nanocomposites

M. S. Abd-Elwahed et al.

CERAMICS INTERNATIONAL (2020)

Article Materials Science, Ceramics

Structural, mechanical and tribological properties of Cu-ZrO2/GNPs hybrid nanocomposites

A. M. Sadoun et al.

CERAMICS INTERNATIONAL (2020)

Article Construction & Building Technology

Coupling prediction model for long-term displacements of arch dams based on long short-term memory network

Wenju Liu et al.

STRUCTURAL CONTROL & HEALTH MONITORING (2020)

Article Materials Science, Multidisciplinary

Correlation between grain boundary evolution and mechanical properties of ultrafine-grained metals

Mohamed Shaat et al.

MECHANICS OF MATERIALS (2020)

Article Engineering, Mechanical

Improved ANN technique combined with Jaya algorithm for crack identification in plates using XIGA and experimental analysis

S. Khatir et al.

THEORETICAL AND APPLIED FRACTURE MECHANICS (2020)

Article Chemistry, Physical

Fabrication and characterization of novel layered materials produced by electroless plating and hot pressing

Onur Guler et al.

JOURNAL OF ALLOYS AND COMPOUNDS (2020)

Article Materials Science, Composites

Evaluation of mechanical properties of 1050-Al reinforced with SiC particles via accumulative roll bonding process

Adel Fathy et al.

JOURNAL OF COMPOSITE MATERIALS (2019)

Article Chemistry, Physical

Effect of GNPs coated Ag on microstructure and mechanical properties of Cu-Fe dual-matrix nanocomposite

Ahmed Abu-Oqail et al.

JOURNAL OF ALLOYS AND COMPOUNDS (2019)

Article Materials Science, Ceramics

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

A. M. Sadoun et al.

CERAMICS INTERNATIONAL (2019)

Article Engineering, Multidisciplinary

Effect of Al2O3 nanoparticles content and compaction temperature on properties of Al-Al2O3 coated Cu nanocomposites

W. S. Baralcat et al.

COMPOSITES PART B-ENGINEERING (2019)

Article Nanoscience & Nanotechnology

Mechanical properties of graphene nanoplates reinforced copper matrix composites prepared by electrostatic self-assembly and spark plasma sintering

Guosen Shao et al.

MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING (2019)

Article Chemistry, Multidisciplinary

Electrical conductivity anisotropy of copper matrix composites reinforced with SiC whiskers

Jiang Feng et al.

NANOTECHNOLOGY REVIEWS (2019)

Article Computer Science, Artificial Intelligence

Chaotic opposition-based grey-wolf optimization algorithm based on differential evolution and disruption operator for global optimization

Rehab Ali Ibrahim et al.

EXPERT SYSTEMS WITH APPLICATIONS (2018)

Article Materials Science, Multidisciplinary

Recent progress in development of tungsten-copper composites: Fabrication, modification and applications

L. L. Dong et al.

INTERNATIONAL JOURNAL OF REFRACTORY METALS & HARD MATERIALS (2018)

Article Chemistry, Physical

Microstructure and mechanical properties of consolidated Cu-Cr-CNT nanocomposite prepared via powder metallurgy

A. Ghorbani et al.

JOURNAL OF ALLOYS AND COMPOUNDS (2018)

Article Materials Science, Multidisciplinary

Improving compressibility and thermal properties of Al-Al2O3 nanocomposites using Mg particles

A. Wagih et al.

JOURNAL OF MATERIALS SCIENCE (2018)

Article Materials Science, Multidisciplinary

Direct diffusion bonding of immiscible tungsten and copper at temperature close to Copper's melting point

Jie Zhang et al.

MATERIALS & DESIGN (2018)

Article Materials Science, Ceramics

Improved mechanical and wear properties of hybrid Al-Al2O3/GNPs electro-less coated Ni nanocomposite

A. Fathy et al.

CERAMICS INTERNATIONAL (2018)

Article Engineering, Aerospace

Copper/Iron Brake Friction for Military Aircraft Application

Thiago Duque Estrada da Silva Santos et al.

JOURNAL OF AEROSPACE TECHNOLOGY AND MANAGEMENT (2018)

Article Chemistry, Physical

Synthesis and characterization of Cu-ZrO2 nanocomposite produced by thermochemical process

Adel Fathy et al.

JOURNAL OF ALLOYS AND COMPOUNDS (2017)

Article Materials Science, Multidisciplinary

Microstructure, mechanical and wear properties of Cu-ZrO2 nanocomposites

A. Fathy et al.

MATERIALS SCIENCE AND TECHNOLOGY (2017)

Article Computer Science, Interdisciplinary Applications

Salp Swarm Algorithm: A bio-inspired optimizer for engineering design problems

Seyedali Mirjalili et al.

ADVANCES IN ENGINEERING SOFTWARE (2017)

Article Materials Science, Ceramics

Wear and friction properties of spark plasma sintered SiC/Cu nanocomposites

M. R. Akbarpour et al.

CERAMICS INTERNATIONAL (2017)

Article Materials Science, Multidisciplinary

Corrosion characteristics of cold gas spray coatings of reinforced aluminum deposited onto carbon steel

F. S. da Silva et al.

CORROSION SCIENCE (2017)

Article Engineering, Chemical

Mechanical properties of Al-Mg/Al2O3 nanocomposite powder produced by mechanical alloying

A. Wagih

ADVANCED POWDER TECHNOLOGY (2015)

Article Computer Science, Interdisciplinary Applications

Symbiotic Organisms Search: A new metaheuristic optimization algorithm

Min-Yuan Cheng et al.

COMPUTERS & STRUCTURES (2014)

Article Chemistry, Physical

Bulk Cu-Cr nanocomposites by high-energy ball milling and spark plasma sintering

N. F. Shkodich et al.

JOURNAL OF ALLOYS AND COMPOUNDS (2014)

Article Chemistry, Physical

Preparation of Cu-Cr alloy powder by mechanical alloying

Qing Zhao et al.

JOURNAL OF ALLOYS AND COMPOUNDS (2014)

Article Materials Science, Multidisciplinary

Densification behavior of mechanically milled Cu-8 at% Cr alloy and its mechanical and electrical properties

S. Patra et al.

PROGRESS IN NATURAL SCIENCE-MATERIALS INTERNATIONAL (2014)

Article Materials Science, Coatings & Films

Microstructure characterization and nanomechanics of cold-sprayed pure Al and Al-Al2O3 composite coatings

Qiang Wang et al.

SURFACE & COATINGS TECHNOLOGY (2013)

Article Automation & Control Systems

Prediction of abrasive wear rate of in situ Cu-Al2O3 nanocomposite using artificial neural networks

A. Fathy et al.

INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY (2012)

Article Materials Science, Multidisciplinary

Compressive and wear resistance of nanometric alumina reinforced copper matrix composites

A. Fathy et al.

MATERIALS & DESIGN (2012)

Article Nanoscience & Nanotechnology

Application of ARB process for manufacturing high-strength, finely dispersed and highly uniform Cu/Al2O3 composite

Roohollah Jamaati et al.

MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING (2010)

Article Materials Science, Coatings & Films

Microstructure and mechanical properties of B4C reinforced Al-based matrix composite coatings deposited by CGDS and PGDS processes

M. Yandouzi et al.

SURFACE & COATINGS TECHNOLOGY (2010)

Article Chemistry, Physical

Fabrication of copper-alumina nanocomposites by mechano-chemical routes

F. Shehata et al.

JOURNAL OF ALLOYS AND COMPOUNDS (2009)

Article Materials Science, Multidisciplinary

Preparation and properties of Al2O3 nanoparticle reinforced copper matrix composites by in situ processing

F. Shehata et al.

MATERIALS & DESIGN (2009)

Article Nanoscience & Nanotechnology

Electrical and mechanical properties of carbon nanotube reinforced copper nanocomposites fabricated by electroless deposition process

Walid M. Daoush et al.

MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING (2009)

Article Materials Science, Multidisciplinary

Microstructural investigation on antifriction characteristics of self-lubricating copper hybrid composite

YZ Zhan et al.

MATERIALS SCIENCE AND TECHNOLOGY (2006)

Article Nanoscience & Nanotechnology

Influence of prior deformation on the age hardening of a phosphorus-containing Cu-0.61wt.%Cr alloy

N Gao et al.

MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING (2003)

Article Materials Science, Multidisciplinary

Electroless copper coating of cenospheres using silver nitrate activator

S Shukla et al.

MATERIALS LETTERS (2002)

Article Materials Science, Multidisciplinary

Tribological behaviour of SiC particle-reinforced copper matrix composites

SC Tjong et al.

MATERIALS LETTERS (2000)