The artificial neural network (ANN) approach motivated by the biological nervous system is
an inspiring mathematical tool that simulates many complicated engineering applications …

In this paper, the primary synthesis and secondary treatment of Aluminium matrix
composites (AMCs) has been reviewed. The renewed quest for component materials with …

The present work shows the mechanical behavior of as-cast A356 alloy and A356-4 wt%
graphite (Gr)-12 wt% boron carbide (B 4 C) hybrid composites. The hybrid composite …

Two mechanical properties, fracture toughness (KIC) and bending strength (σ), of silicon
nitride (Si3N4) ceramics were determined from their microstructural images via …

The goal of this research work is to assess the tribological properties of A356 alloy
reinforced with 20 wt% SiC composite prepared by liquid metallurgy route. A356 alloy and …

The fracture toughness of silicon nitride (Si3N4) ceramics was evaluated directly from their
microstructures via deep learning using convolutional neural network models. Totally 156 …

Recent scientific and technological developments demonstrated that laser-melting
deposition (LMD) could yield near-net-shape parts by additive manufacturing. Under …

The current study aims to investigate the effects of process parameters on mechanical and
microstructural characteristics of Al 6061-SiC composite fabricated via squeeze casting …

Composites of an LM6 aluminium alloy reinforced with a zinc-coated steel-wire mesh were
prepared with squeeze casting. Three different orientations of 0, 45 and 90 of the zinc …

Aluminum matrix composites were extensively used as structural material as it possesses
good surface properties such as wear and corrosion resistance. The practical importance of …