Physica Scripta,
Journal Year:
2024,
Volume and Issue:
100(1), P. 015036 - 015036
Published: Dec. 11, 2024
Abstract
Metal
matrix
composites
(MMCs)
are
increasingly
used
across
various
manufacturing
sectors,
including
automotive,
defense,
and
aerospace,
due
to
their
exceptional
strength-to-weight
ratio,
lightweight
properties,
high
strength,
appreciable
hardness
when
combined
with
suitable
reinforcing
materials.
MMCs
reinforced
carbide
particles
not
only
enhance
the
mechanical
but
also
exhibit
self-lubricating
characteristics,
providing
wear
resistance.
The
properties
of
contribute
significantly
minimizing
maintenance
requirements,
reducing
operational
costs,
advancing
sustainability
goals,
rendering
them
indispensable
for
sectors
such
as
medical
equipment,
energy.
present
work
addresses
challenges
associated
machining
advanced
composite
materials
proposes
optimal
parameters
overcome
these
difficulties.
Here
in
current
investigation,
aluminium
alloy
(AA2024)
+
10
wt%
B
4
C
was
selected
workpiece
material,
it
machined
using
a
wire
electric
discharge
machine.
Response
surface
methodology
employed
develop
predictive
models
output
responses,
namely
roughness
(
R
)
material
removal
rate
MRR
).
accuracy
found
be
98.78%
93.54%
,
demonstrating
reliability.
To
optimize
performance,
both
single-objective
multi-objective
optimization
approaches
were
used.
Taguchi’s
signal-to-noise
(S/N)
ratio
analysis
applied
optimization,
while
Pareto
fronts
generated
genetic
algorithm
facilitated
maximize
minimize
effectively.
AIP Advances,
Journal Year:
2024,
Volume and Issue:
14(10)
Published: Oct. 1, 2024
Tool
steels
such
as
AISI
D2
are
famous
in
the
manufacturing
industry
because
of
their
engineering
applications.
The
precise
interplay
improved
hardness
and
toughness
makes
machining
complex
geometries
challenging
through
conventional
options.
Therefore,
non-conventional
processes
wire
electric
discharge
(WEDM)
preferred
simultaneous
surface
modification
actions.
To
investigate
process
parameters
sensitivity,
material
removal
rate
(MRR)
cutting
roughness
(SR)
corresponding
performance
measure
characteristics
for
WEDM
on
tool
steel.
L18
mixed-level
Taguchi
technique
has
been
used
obtaining
combinations
experiments
two
levels
thickness
three
other
remaining
factors
(21
×
33).
Analysis
variance
(ANOVA)
signal-to-noise
ratio
have
applied
to
magnitude
effects
each
control
factor,
optimum
input
characteristics,
identify
significance.
ANOVA
analysis
revealed
that,
both
responses,
all
main
effect
variables
highly
significant,
with
p-values
equal
zero.
Moreover,
coefficient
determination
(R2)
value
findings
responses
is
above
97%,
indicating
high
reliability
model.
In
addition,
composite
desirability
(dG)
considered
maximize
MRR
minimize
SR
during
D2;
better
combination
(T
=
25.4
mm,
Pon
4
µs,
SV
95
V,
WT
5
kg-f)
a
dG
0.5614.
AIP Advances,
Journal Year:
2024,
Volume and Issue:
14(11)
Published: Nov. 1, 2024
This
study
explores
the
potential
of
Elaeocarpus
ganitrus
seed
(EGs)
powder
as
a
sustainable
composite
biomaterial,
focusing
on
its
particle
size
effects
mechanical,
frictional,
and
thermal
properties
materials
for
biomedical
applications
such
prosthetics
implants.
Composite
specimens
were
produced
using
compression
hot
molding
method,
utilizing
EG
particles
varying
sizes
(120,
140,
200-mesh
sieving).
The
influence
key
was
systematically
investigated.
findings
reveal
that
reducing
EGs
leads
to
decrease
in
density
hardness
composite,
with
largest
(BP1)
resulting
highest
hardness.
Friction
coefficient
measurements
indicated
suitability
where
surface
interaction
wear
resistance
are
critical,
joint
prosthetics.
Thermal
analysis
showed
BP1
exhibited
superior
stability,
maximum
decomposition
temperature
(Tmax)
exceeding
375
°C.
Differential
scanning
calorimetry
identified
significant
differences
glass
transition
(Tg)
crystallization
(Tc)
across
specimens.
composites
demonstrated
exceptional
performance,
surpassing
previous
benchmarks
biomaterials
high-temperature
environments.
mechanical
characteristics
Specimen
BP1—2.725
g/cm3
density,
74
Shore
D
hardness,
0.159
friction,
93.3%
total
residual,
378.14
°C
Tmax,
426.25
Tc,
376.87
Tg—suggest
requiring
durability
resilience,
orthopedic
devices
tissue
engineering
scaffolds.
