Polymers,
Год журнала:
2024,
Номер
16(13), С. 1906 - 1906
Опубликована: Июль 3, 2024
This
study
explores
the
enhancement
of
electrical
conductivity
in
polymer
composites
by
incorporating
carbon
nanotubes
(CNTs)
into
a
co-continuous
poly(lactic
acid)/low-density
polyethylene
(PLA/LDPE)
blend,
creating
double
percolation
structure.
Theoretical
thermodynamic
predictions
indicate
that
CNTs
preferentially
localize
LDPE
phase.
The
threshold
PLA/LDPE/CNT
was
0.208
vol%
(5.56
wt%),
an
80%
reduction
compared
to
LDPE/CNT
composite,
due
migration
from
PLA
significantly
enhanced
conductivity,
achieving
13.8-fold
increase
at
7.5
wt%
CNT
loading
composite.
localization
driven
thermodynamic,
kinetic,
and
rheological
factors,
with
viscosity
differences
between
causing
dense
aggregation
LDPE.
Initial
contact
reduced
aggregation,
allowing
infiltrate
aggregates
during
melt-mixing,
which
influenced
final
morphology
conductivity.
These
findings
provide
new
insights
fabrication
conductive
for
force
sensor
applications.
ACS Applied Materials & Interfaces,
Год журнала:
2024,
Номер
16(36), С. 48025 - 48033
Опубликована: Авг. 27, 2024
The
origin
of
life
on
Earth
is
believed
to
be
from
the
ocean,
which
offers
abundant
resources
in
its
depths.
However,
deep-sea
operations
are
limited
due
lack
underwater
robots
and
rigid
grippers
with
sensitive
force
sensors.
Therefore,
it
crucial
for
pressure
sensors
integrated
mechanical
hands
manipulation.
Here,
a
flexible
stress
sensor
presented
that
can
function
effectively
under
high
water
deep
ocean.
Inspired
by
biological
structures
found
abyssal
zone,
our
designed
an
internal
external
balance
structure
(hollow
interlocking
spherical
structure).
digital
light
processing
(DLP)
three-dimensional
(3D)
printing
technology
utilized
construct
this
complex
after
obtaining
optimized
structural
parameters
using
finite
element
simulation.
exhibits
linear
sensitivity
0.114
kPa–1
within
range
0–15
kPa
has
extremely
short
response
time
32
ms,
good
dynamic-static
load
capability,
excellent
resistance
cycling
stability.
It
shows
1.74
even
30
MPa
static
pressures
theoretical
working
exceed
110
MPa,
provides
new
solution
robots.
Advanced Materials,
Год журнала:
2025,
Номер
unknown
Опубликована: Апрель 18, 2025
Abstract
3D
printing
has
revolutionized
the
development
of
flexible
pressure
sensors
by
enabling
precise
fabrication
diverse
microstructures
that
significantly
enhance
sensor
performance.
These
advancements
have
substantially
improved
key
attributes
such
as
sensitivity,
response
time,
and
durability,
facilitating
applications
in
wearable
electronics,
robotics,
human–machine
interfaces.
This
review
provides
a
comprehensive
analysis
sensing
mechanisms
these
sensors,
emphasizing
role
microstructures,
micro‐patterned,
microporous,
hierarchical
designs,
optimizing
The
advantages
techniques,
including
direct
indirect
methods,
creation
complex
with
high
precision
adaptability
are
highlighted.
Specific
applications,
human
physiological
signal
monitoring,
motion
detection,
soft
emerging
explored
to
demonstrate
versatility
sensors.
Additionally,
this
briefly
discusses
challenges,
material
compatibility,
optimization
difficulties,
environmental
stability,
well
trends,
integration
advanced
technologies,
innovative
multidimensional
promising
avenues
for
future
advancements.
By
summarizing
recent
progress
identifying
opportunities
innovation,
critical
insights
into
bridging
gap
between
research
real‐world
helping
accelerate
evolution
sophisticated
3D‐printed
microstructures.
Advanced Intelligent Systems,
Год журнала:
2024,
Номер
6(9)
Опубликована: Май 23, 2024
Integration
of
both
actuation
and
proprioception
into
the
robot
body
leads
to
a
single
integrated
system
that
can
deform
sense.
Within
this
work,
liquid
rope
coiling
is
used
3D‐print
soft
graded
porous
actuators.
By
fabricating
these
actuators
from
conductive
thermoplastic
elastomer,
piezoresistive
sensing
directly
integrated.
These
sensor‐integrated
exhibit
nonlinearities
hysteresis
in
their
resistance
change.
To
overcome
challenge,
novel
approach
uses
identified
Wiener–Hammerstein
(WH)
models
proposed
estimate
strain
based
on
Three
actuator
types
were
investigated,
namely,
bending
actuator,
contractor,
three
degrees
freedom
segment.
using
design
additive
manufacturing
set
porosity,
behavior
contracting
be
programmed.
Furthermore,
WH
provide
estimation
with
average
high
fits
(83%)
low
root
mean
square
(RMS)
errors
(6%)
for
all
actuators,
which
outperformed
linear
significantly
(76.2/9.4%
fit/RMS
error).
In
results,
it
indicated
combining
3D‐printed
structures
identification
realize
but
also
tailor
through
porosity.
Nanomaterials,
Год журнала:
2024,
Номер
14(21), С. 1761 - 1761
Опубликована: Ноя. 2, 2024
This
study
explores
a
novel
approach
to
obtaining
3D
printed
strain
sensors,
focusing
on
how
changing
the
printing
conditions
can
produce
different
piezoresistive
response.
Acrylonitrile
butadiene
styrene
(ABS)
filled
with
weight
concentrations
of
carbon
nanotubes
(CNTs)
was
in
form
dog
bones
via
fused
filament
fabrication
(FFF)
using
two
raster
angles
(0–90°).
Scanning
electron
microscopy
(SEM)
and
atomic
force
(AFM)
TUNA
mode
(TUNA-AFM)
were
used
morphological
features
electrical
properties
samples.
Tensile
tests
revealed
that
sensitivity,
measured
by
gauge
factor
(G.F.),
decreased
increasing
filler
content
for
both
angles.
Notably,
90°
orientation
consistently
showed
higher
sensitivity
than
0°
same
concentration.
Creep
fatigue
identified
permanent
damage
through
residual
resistance
values.
Additionally,
cross-shaped
sensor
designed
measure
two-dimensional
deformations
simultaneously,
which
is
applicable
robotic
field.
monitor
small
large
perpendicular
directions
tracking
variations
its
arms,
significantly
expanding
measuring
range.
Sensors,
Год журнала:
2023,
Номер
23(18), С. 7858 - 7858
Опубликована: Сен. 13, 2023
This
study
investigates
the
integration
of
soft
sensors
and
deep
learning
in
oil-refinery
industry
to
improve
monitoring
efficiency
predictive
accuracy
complex
industrial
processes,
particularly
de-ethanization
debutanization.
Soft
sensor
models
were
developed
estimate
critical
variables
such
as
C2
C5
contents
liquefied
petroleum
gas
(LPG)
after
distillation
energy
consumption
columns.
The
refinery's
LPG
purification
process
relies
on
periodic
sampling
laboratory
analysis
maintain
product
specifications.
tested
using
data
from
actual
refinery
operations,
addressing
challenges
scalability
handling
dirty
data.
Two
models,
an
artificial
neural
network
(ANN)
model
ensemble
random
forest
regressor
(RFR)
model,
developed.
emphasizes
interpretability
potential
for
real-time
updating
or
online
learning.
also
proposes
a
comprehensive,
iterative
solution
predicting
optimizing
component
concentrations
within
dual-column
system,
highlighting
its
high
applicability
replication
similar
scenarios.
Advanced Materials Technologies,
Год журнала:
2023,
Номер
8(22)
Опубликована: Окт. 2, 2023
Abstract
Microengineering
of
materials
plays
an
important
role
in
achieving
multifunctionality
and
enhancing
performance.
However,
it
is
still
a
major
challenge
to
construct
secondary
micro‐architectures
composite
lattices
date.
Herein,
novel
microengineering
strategy
combining
additive
manufacturing
thermo‐growth
processes
proposed
develop
elastomeric
with
throughout
the
filaments
for
versatile
applications.
The
new
printing
inks
are
composed
matrices,
closed‐cell
microspheres
carbon
nanotubes
(CNTs).
After
printing,
“grow”
form
inside
by
applying
thermal
treatment.
Such
offers
good
opportunity
manufacture
objects
exceptional
complex
micro‐architectures,
few
synthetic
can
like
this.
Further
investigation
shows
that
obtained
microstructured
lattice
has
excellent
impact
energy
dissipation
capacity
reducing
force
57%
owing
hierarchical
mechanisms,
exhibits
distinctively
linear
electrical
response
which
endows
self‐sensing
capability.
In
addition,
also
thermal‐insulation
performance
endowed
mm‐scale
pores
µm‐scale
hollow
spheres,
comparable
existing
foams.
This
study
represents
innovative
effective
approach
development
micro‐engineered
multifunctional
properties
