Abstract Aluminum/graphite (Al/Gr) composites have been used as self-lubricating materials
due to the superior lubricating effect of graphite during sliding. This paper summarizes …

Hybrid reinforced particulate aluminum matrix composite materials (HAMCs) are a
breakthrough kind of material made by combining two or more distinct reinforcing …

Lightweight composite materials have recently been recognized as appropriate materials
have been adopted in many industrial applications because of their versatility. The present …

This study presents the impact of molybdenum (Mo) inclusion on microstructure, mechanical,
and machinability behavior of steels manufactured with powder metallurgy (PM) approach …

Artificial neural networks (ANNs) have recently gained popularity as useful models for
grouping, clustering, and analysis in a wide range of fields. An ANN is a kind of machine …

In this study, machining parameters were evaluated and optimized with grey relational
analysis in drilling B 4 C reinforced metal matrix composites (MMCs) produced by powder …

Metal matrix composites (MMCs) are difficult to machine due to their abrasive properties.
With the projected widespread application of MMCs, it is necessary to develop an …

Hybrid metal matrix composites consist of at least three constituents—a metal or an alloy
matrix and two reinforcements in various forms, bonded together at the atomic level in the …

In this paper the potential of using artificial neural networks (ANNs) for the prediction of
sliding friction and wear properties of polymer composites was explored using a newly …

Abstract Time-temperature-transformation (TTT) diagram is an essential tool for designing
an optimized heat treatment process of given steel. But experimental determination is quite …