Machine Learning as a “Catalyst” for Advancements in Carbon Nanotube Research
Nanomaterials,
Год журнала:
2024,
Номер
14(21), С. 1688 - 1688
Опубликована: Окт. 22, 2024
The
synthesis,
characterization,
and
application
of
carbon
nanotubes
(CNTs)
have
long
posed
significant
challenges
due
to
the
inherent
multiple
complexity
nature
involved
in
their
production,
processing,
analysis.
Recent
advancements
machine
learning
(ML)
provided
researchers
with
novel
powerful
tools
address
these
challenges.
This
review
explores
role
ML
field
CNT
research,
focusing
on
how
has
enhanced
research
by
(1)
revolutionizing
synthesis
through
optimization
complex
multivariable
systems,
enabling
autonomous
reducing
reliance
conventional
trial-and-error
approaches;
(2)
improving
accuracy
efficiency
characterizations;
(3)
accelerating
development
applications
across
several
fields
such
as
electronics,
composites,
biomedical
fields.
concludes
offering
perspectives
future
potential
integrating
further
into
highlighting
its
driving
forward.
Язык: Английский
Compressive Properties of Additively Manufactured Metal-Reinforced PLA and ABS Composites
Polymers,
Год журнала:
2024,
Номер
16(14), С. 2008 - 2008
Опубликована: Июль 13, 2024
The
development
of
multi-material
filaments
has
enabled
fused
filament
fabrication-based
additive
manufacturing
to
address
demand
for
high-performance
lightweight
multifunctional
components.
In
this
study,
polylactic
acid
(PLA)
and
acrylonitrile
butadiene
styrene
based
with
metallic
reinforcements
magnetic
iron
(MI),
stainless
steel
(SS),
bronze
(Br),
copper
(Cu),
Bismuth
(Bi),
Tungsten
(W)
were
investigated
elucidate
their
complex
processing–structure–property
relationships.
microstructure
3D-printed
materials
characterized
by
microscopy
analyzed
determine
the
metal
cross-sectional
area
percentage
relationship
between
reinforcement,
polymer
matrix,
porosity.
Compression
testing
was
conducted
in
directions
parallel
perpendicular
build
direction
order
evaluate
effect
orientation
reinforcement
on
mechanical
properties.
specimens
experienced
either
fracture
through
print
layers
or
layer-wise
interfacial
rupture
loads
applied
layers,
respectively.
A
dependence
yield
strength
loading
observed
Br-PLA,
Cu-PLA,
SS-PLA,
Bi-ABS,
W-ABS;
however,
MI-PLA
pure
ABS
did
not
exhibit
sensitivity.
Metal
also
influenced
magnitude
compressive
strength,
SS-PLA
demonstrating
increased
over
Br-PLA
while
demonstrated
Bi-ABS
W-ABS.
These
results
demonstrate
importance
considering
printing
applications,
trade-off
various
added
multifunctionality,
potential
these
tailored
composites
novel
structures.
Язык: Английский
Assessing the Tribological Impact of 3D Printed Carbon-Reinforced ABS Composite Cylindrical Gears
Lubricants,
Год журнала:
2024,
Номер
12(11), С. 376 - 376
Опубликована: Окт. 30, 2024
The
tribological
performance
of
carbon-reinforced
acrylonitrile
butadiene
styrene
(ABS)
composites
is
very
important
in
determining
their
suitability
for
advanced
engineering
applications.
This
study
employs
response
surface
methodology
(RSM)
to
evaluate
the
effects
printing
temperature
and
post-processing
annealing
on
wear
resistance
frictional
properties
these
composites.
A
central
composite
design
used
systematically
explore
interaction
between
two
factors,
enabling
development
predictive
models
key
parameters.
results
reveal
that
both
coefficient
friction
(COF)
are
affected
by
temperatures,
although
a
non-linear
manner.
Moderate
temperatures
lower
were
found
reduce
wear,
with
having
more
pronounced
effect
wear.
To
further
optimize
responses,
desirability
approach
was
applied
predicting
optimal
conditions.
combination
input
parameters
minimizing
COF
be
256
°C
an
126
°C.
research
provides
valuable
insights
optimizing
additive
manufacturing
processes
ABS
composites,
contributing
enhanced
material
durability
practical
Язык: Английский