[HTML][HTML] Enhanced wear resistance in carbon nanotube-filled bio-epoxy composites: a comprehensive analysis via scanning electron microscopy and atomic force …

P Hiremath, R Ranjan, V DeSouza, R Bhat… - Journal of Composites …, 2023 - mdpi.com
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 …

Rice husk ash reinforced aluminium matrix composites: fabrication, characterization, statistical analysis and artificial neural network modelling

MBN Shaikh, S Raja, M Ahmed, M Zubair… - Materials Research …, 2019 - iopscience.iop.org
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 …

Modelling of tribological responses of composites using integrated ANN-GA technique

S Sardar, S Dey, D Das - Journal of Composite Materials, 2021 - journals.sagepub.com
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 …

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 behaviour of ZA/ZrB2 in situ composites using response surface methodology and artificial neural network

V Kumar, G Gautam, A Singh, V Singh… - Surface Topography …, 2022 - iopscience.iop.org
Recent advancement in metal matrix composites shows the reduction in resource and
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

S Kumar, M Nagraj, A Bongale, N Khedkar - Arabian Journal for Science …, 2018 - Springer
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 …

A novel MOALO-MODA ensemble approach for multi-objective optimization of machining parameters for metal matrix composites

K Kalita, V Kumar, S Chakraborty - Multiscale and Multidisciplinary …, 2023 - Springer
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 …

An investigation of date palm seed as effective filler material of glass–epoxy composites using optimization techniques

HI Elkhouly, RK Abdel-Magied… - Polymers and Polymer …, 2020 - journals.sagepub.com
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 …

Prediction of wear amounts of AZ91 magnesium alloy matrix composites reinforced with ZnO-hBN nanocomposite particles by hybridized GA-SVR model

CK Macit, BT Saatci, MG Albayrak, M Ulas… - Journal of Materials …, 2024 - Springer
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 …

Prediction of frictional behaviour through regression equations: A statistical modelling approach validated with machine learning

V Kumar, G Gautam, MK Singh, G Ji… - Proceedings of the …, 2024 - journals.sagepub.com
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 …