The necessity for high performance and low-cost materials caused the researchers
worldwide to switch the focus from monolithic to composite materials. In the recent pasts, a …

Natural fiber reinforced polymer composites have emerged as a potential environmentally
friendly and cost-effective alternative to synthetic fiber reinforced composites. Therefore, in …

Data-driven methods including machine learning (ML) algorithms can yield a better
understanding of how tribological and material properties correlate. Correlations of friction …

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 …

This review article summarizes the progress of research on carbon nanomaterial-based
lubricants witnessed in recent years. Carbon nanomaterials, such as graphene, carbon …

Dissatisfactory yield strength and wear have been critical issues in FCC single phase high
entropy alloy (HEA) limiting wide applications as advanced engineering materials, in spite of …

Data-driven analysis and machine learning (ML) algorithms can offer novel insights into
tribological phenomena by establishing correlations between material and tribological …

Aluminum metal matrix composites (AMMCs) used in different industries from automotive to
aerospace for specific purposes. Many problems hinder the full-scale industrialization of …

Lubrication for extreme conditions, such as high temperature, cryogenic temperature,
vacuum pressure, high load, high speed, and corrosive environments, is a continuing …

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 …