Overview of wear performance of aluminium matrix composites reinforced with ceramic materials under the influence of controllable variables

J Singh, A Chauhan - Ceramics International, 2016 - Elsevier
This paper summarizes the wear behaviour of Al-composites reinforced with ceramic
materials. The influence of the mechanical parameters such as applied load, sliding velocity …

Recent progress in hybrid aluminum composite: Manufacturing and application

EWA Fanani, E Surojo, AR Prabowo, HI Akbar - Metals, 2021 - mdpi.com
Due to their excellent properties, the requirement for materials with higher characteristics
has transformed primary alloy into composite materials. Composites are particularly …

[HTML][HTML] Study on mechanical and wear properties of Al 7075/Al2O3/graphite hybrid composites

A Baradeswaran, AE Perumal - Composites Part B: Engineering, 2014 - Elsevier
This work investigated the influence of graphite on the wear behavior of Al 7075/Al 2 O 3/5
wt.% graphite hybrid composite. The investigation reveals the effectiveness of incorporation …

Triboinformatic modeling of dry friction and wear of aluminum base alloys using machine learning algorithms

MS Hasan, A Kordijazi, PK Rohatgi… - Tribology International, 2021 - Elsevier
Data-driven methods including machine learning (ML) algorithms can yield a better
understanding of how tribological and material properties correlate. Correlations of friction …

Analysis of the friction and wear of graphene reinforced aluminum metal matrix composites using machine learning models

MS Hasan, T Wong, PK Rohatgi, M Nosonovsky - Tribology International, 2022 - Elsevier
The effect of graphene on the material properties, friction, and wear of self-lubricating
aluminum-based metal matrix composites (MMC) was compared with the effect of graphite …

Triboinformatics approach for friction and wear prediction of Al-graphite composites using machine learning methods

MS Hasan, A Kordijazi, PK Rohatgi… - Journal of …, 2022 - asmedigitalcollection.asme.org
Data-driven analysis and machine learning (ML) algorithms can offer novel insights into
tribological phenomena by establishing correlations between material and tribological …

Multi ceramic particles inclusion in the aluminium matrix and wear characterization through experimental and response surface-artificial neural networks

BN Sharath, CV Venkatesh, A Afzal, N Aslfattahi… - Materials, 2021 - mdpi.com
Lightweight composite materials have recently been recognized as appropriate materials
have been adopted in many industrial applications because of their versatility. The present …

Microstructure and mechanical properties of aluminium metal matrix composites with addition of bamboo leaf ash by stir casting method

BP Kumar, AK Birru - Transactions of nonferrous metals society of china, 2017 - Elsevier
Abstract Al-4.5% Cu alloy was used as a matrix at 2%, 4% and 6% of bamboo leaf ash (BLA)
which was extruded from agro waste and was used as reinforcement. The composite which …

Tribological properties of powder metallurgy–Processed aluminium self lubricating hybrid composites with SiC additions

P Ravindran, K Manisekar, P Rathika… - Materials & Design, 2013 - Elsevier
In this experimental study, aluminium (Al)-based graphite (Gr) and silicon carbide (SiC)
particle-reinforced, self-lubricating hybrid composite materials were manufactured by …

Mechanical properties and tribological behavior of Al6061–SiC–Gr self-lubricating hybrid nanocomposites

I Manivannan, S Ranganathan… - Transactions of the …, 2018 - Springer
In the present investigation, a newly fabricated Al6061 reinforced with various quantity (0.4–
1.6 wt%) of nano SiC in steps of 0.4 and fixed quantity (0.5 wt%) of micro graphite particle's …