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[HTML][HTML] Enhanced wear resistance in carbon nanotube-filled bio-epoxy composites: a comprehensive analysis via scanning electron microscopy and atomic force …
This investigation focuses on the wear resistance and surface morphology of multi-walled
carbon nanotube (MWCNT)-filled bio-based epoxy composites. This study examines the …
carbon nanotube (MWCNT)-filled bio-based epoxy composites. This study examines the …
Rice husk ash reinforced aluminium matrix composites: fabrication, characterization, statistical analysis and artificial neural network modelling
This paper explores the microstructural, mechanical and the tribological behaviour of rice
husk ash (RHA, 5, 10 and 15 wt%) reinforced aluminium based composites fabricated using …
husk ash (RHA, 5, 10 and 15 wt%) reinforced aluminium based composites fabricated using …
Modelling of tribological responses of composites using integrated ANN-GA technique
In the present article, artificial neural networks (ANNs) and genetic algorithm (GA)
methodology were integrated to model tribological characteristics of stir-cast Al-Zn-Mg-Cu …
methodology were integrated to model tribological characteristics of stir-cast Al-Zn-Mg-Cu …
Analyzing the tribological and mechanical performance of Al-6061 with rare earth oxides: An experimental analysis
VK Sharma, P Kumar, S Akhai… - Proceedings of the …, 2024 - journals.sagepub.com
This article aims to evaluate the effect of ceria oxide as rare earth oxides (REOs) on the
tribological properties of aluminum hybrid composites with varied concentrations of …
tribological properties of aluminum hybrid composites with varied concentrations of …
Tribological behaviour of ZA/ZrB2 in situ composites using response surface methodology and artificial neural network
Recent advancement in metal matrix composites shows the reduction in resource and
energy consumption through improvement in tribological properties. However, statistical …
energy consumption through improvement in tribological properties. However, statistical …
Deep cryogenic treatment of AISI M2 tool steel and optimisation of its wear characteristics using Taguchi's approach
The present research paper focuses on optimisation of wear test parameters for different
deep cryogenic treated AISI M2 tool steel material. Commercially available, AISI M2 tool …
deep cryogenic treated AISI M2 tool steel material. Commercially available, AISI M2 tool …
A novel MOALO-MODA ensemble approach for multi-objective optimization of machining parameters for metal matrix composites
Machining of metal matrix composites (MMCs) has now become an essential task in sha**
them to their final usable forms for various industrial applications. These machining …
them to their final usable forms for various industrial applications. These machining …
An investigation of date palm seed as effective filler material of glass–epoxy composites using optimization techniques
Glass/epoxy (GE) products are widely used in numerous industries nowadays. This is due to
favorable characteristics of these products including low cost, ease of manufacturing, good …
favorable characteristics of these products including low cost, ease of manufacturing, good …
Prediction of wear amounts of AZ91 magnesium alloy matrix composites reinforced with ZnO-hBN nanocomposite particles by hybridized GA-SVR model
In this study, pure and hexagonal boron nitride (hBN)-doped zinc oxide (ZnO) nanoparticles
with different do** ratios (1, 5 and 10 wt%) were synthesized and their structural …
with different do** ratios (1, 5 and 10 wt%) were synthesized and their structural …
Prediction of frictional behaviour through regression equations: A statistical modelling approach validated with machine learning
Friction in machinery and transportation has played a significant energy challenge, with the
reducing friction and wear can improve the performance of engines, motors and vehicles …
reducing friction and wear can improve the performance of engines, motors and vehicles …