Advances in Materials Science,
Journal Year:
2024,
Volume and Issue:
24(4), P. 42 - 56
Published: Dec. 1, 2024
Abstract
The
methodology
of
enhancing
the
wear
resistance
hybrid
Metal
Matrix
Composites
(MMCs)
involves
reinforcing
metal
or
alloy
with
robust
materials.
This
study
focuses
on
manufacturing
a
nanocomposite,
which
includes
0.6
vol.%
Silicon
Carbide
(SiC)
and
0.2
Boron
(B₄C)
nanoparticles
aluminum
(Al)
6061
alloy.
is
achieved
through
an
ultrasonic
assisted
stir
casting
methodology,
pin-on-disc
tribometer
used
to
investigate
sliding
rate
Coefficient
Friction
(COF).
Vicker's
microhardness
tester
evaluated
revealing
it
be
18%
harder
than
Al
Further,
metallurgical
examination
done
Hi-Resolution
Scanning
Electron
Microscope
(HRSEM)
X-ray
diffraction
(XRD)
techniques
confirmed
existence
SiC
B₄C
nanoparticles.
experiment
was
under
diverse
input
variables
such
as
applied
load,
velocity,
distance,
optimization
Taguchi’s
technique.
Applied
load
contributed
40.9%
rate,
increasing
increased
due
higher
pin-counter
disc
contact
pressure.
Sliding
speed
42.18%
COF,
while
decreased
lower
pin-disc
contact.
worn
area
inspection
revealed
abrasive
mechanism
substantial
surface
degradation
at
loads.
may
progress
science
develop
stronger
materials
for
many
purposes.
Materials,
Journal Year:
2024,
Volume and Issue:
17(16), P. 4056 - 4056
Published: Aug. 15, 2024
The
presented
study
investigates
the
effects
of
weight
percentages
boron
carbide
reinforcement
on
wear
properties
aluminum
alloy
composites.
Composites
were
fabricated
via
ball
milling
and
hot
extrusion
process.
During
fabrication
composites,
B4C
content
was
varied
(0,
5,
10
wt.%),
as
well
time
10,
20
h).
Microstructural
observations
with
SEM
microscopy
showed
that
an
increase
in
time,
distribution
particles
is
more
homogeneous
without
agglomerates,
wt.%
results
a
uniform
distinct
grain
boundaries.
Taguchi
ANOVA
analyses
are
applied
order
to
investigate
how
parameters
like
particle
B4C,
normal
load,
affect
AA2024-based
most
influential
loss
coefficient
friction
51.35%
load
45.54%,
respectively.
An
artificial
neural
network
for
prediction
friction.
Two
separate
networks
developed,
both
having
architecture
3-10-1
tansig
activation
function.
By
comparing
predicted
values
experimental
data,
it
demonstrated
well-trained
feed-forward-back
propagation
ANN
model
powerful
tool
predicting
behavior
Al2024-B4C
developed
models
can
be
used
composite
powders
produced
different
ratios
times.
Journal of Composite Materials,
Journal Year:
2024,
Volume and Issue:
58(18), P. 2007 - 2026
Published: May 27, 2024
Aluminium
alloys
are
preferred
in
various
fields,
especially
the
aviation
and
automotive
sectors,
due
to
their
lightweight
durable
nature.
However,
usage
is
limited
weak
tribological
properties
such
as
low
hardness
high
adhesion
tendency
against
steel.
In
order
overcome
this
deficiency,
study
aimed
develop
AA7075
matrix
composites
reinforced
with
BN
MXene.
The
productions
were
conducted
by
powder
metallurgy
method
these
reinforcements
different
ratios,
both
together
separately.
produced
characterized
primarily
XRD
SEM
analyses,
followed
measurement
of
density
porosity
values.
Wear
tests
using
reciprocating
ball-on-flat
method,
at
a
frequency
3
Hz,
sliding
distance
100
m,
stroke
5
mm,
Inox
steel
ball.
highest
improvement
wear
rate
was
realized
under
N
load
wt.%
reinforcement
ratios
48%
42%
for
MXene,
respectively.
When
2
wt%
MXene
applied
together,
remained
around
34%.
It
can
be
said
that
show
promising
results
providing
significant
improvements
compared
counterparts
literature,
warranting
further
investigation.
Engineering Research Express,
Journal Year:
2024,
Volume and Issue:
6(4), P. 045514 - 045514
Published: Oct. 2, 2024
Abstract
The
present
work
studies
the
lightweight
Hybrid
Aluminium
Metal
Matrix
Nanocomposite
(HAMNC)
for
brake
rotor
application.
novel
HAMNC
material
is
fabricated
by
reinforcing
1
wt%
nano
Boron
carbide
(nB
4
C)
and
0.75
Titanium
dioxide
(nTiO
2
)
employing
ultrasonic-squeeze-assisted
stir-casting
process.
developed
a
commercial
Gray
Cast
Iron
(GCI)
was
subjected
to
density,
hardness,
thermal,
corrosion,
tribological
studies.
results
indicated
that
60%
lighter
extremely
corrosive
resistant
compared
with
GCI
material.
Also,
dry
sliding
wear
study
done
using
Non
Asbestos
Organic
(NAO)
pad
as
pin
exhibited
possessed
higher
wear-resistant
behavior
GCI.