Advanced Materials Technologies,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Nov. 22, 2024
Abstract
In
fields
such
as
wearable
technology
and
soft
robotics,
sensors
that
detect
bending
pressure
using
flexible
materials
are
becoming
essential.
This
study
aims
to
develop
textile
stitching
methods
with
conductive
yarn.
Four
types
of
introduced:
tensile
tactile
rubber
bands,
flex
films,
volumetric
balloons.
High
sewing
density
multi‐layer
design
improve
performance.
Experiments
reveale
a
gauge
factor
(GF)
1.52
for
the
multi‐layered
sensor
under
11%
strain,
indicating
20%
improvement
over
single‐layer
sensors.
Flex
effectively
resistance
changes
due
curvature,
varying
velocity.
Volumetric
demonstrate
their
adaptability
in
many
shapes
response
times
1
s.
There
is
significant
potential
these
adaptable
healthcare
medical
industries,
especially
easy
integration
devices.
Advanced Materials,
Journal Year:
2025,
Volume and Issue:
unknown
Published: April 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,
Journal Year:
2024,
Volume and Issue:
6(9)
Published: May 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.
Sensors,
Journal Year:
2023,
Volume and Issue:
23(18), P. 7858 - 7858
Published: Sept. 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,
Journal Year:
2023,
Volume and Issue:
8(22)
Published: Oct. 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
physica status solidi (a),
Journal Year:
2024,
Volume and Issue:
221(23)
Published: March 19, 2024
Field‐effect
transistor
(FET)‐type
pressure
sensor
offers
excellent
amplification
and
signal
conversion
functionality
as
a
switching
device,
it
has
the
capability
to
integrate
tactile
sensors
by
constructing
active‐matrix
arrays
with
low
crosstalk.
However,
conventional
FET‐type
either
have
complex
device
layout
additional
components,
such
pressure‐sensitive
elastomer,
attached
source/drain
electrodes,
or
method
of
modulating
gate
dielectric
can
lead
breakdown
failure.
Additionally,
deformation
elastomer
limits
response
speed
causes
differences
in
early
late
characteristics.
In
this
article,
facile
structure
pressure‐sensing
thin
film
(TFT)
that
modulates
channel
conductivity
cellulose/single‐wall
carbon
nanotube
(SWCNT)
composite
is
reported,
ensuring
simple
without
damaging
device.
The
fabricated
cellulose/SWCNT‐based
TFT
exhibits
change
on/off
current
ratio
from
2.75
×
10
3
2.0
4
high
linearity
(
R
2
=
0.9935)
maintains
durable
performance
over
2000
loading‐unloading
cycles.
shows
fast
time
less
than
8
ms.
A
practical
concept
sensing
circuits
demonstrated
based
on
TFTs
for
integration
into
display
driving
circuits,
enabling
accurate
using
only
drive
display.
Advanced Materials Technologies,
Journal Year:
2024,
Volume and Issue:
9(20)
Published: July 2, 2024
Abstract
The
array
of
tactile
information
processing
capabilities
is
an
important
index
for
modern
intelligent
devices
advancing
toward
a
humanoid
form,
and
it
greatly
improves
the
recognition
different
objects
in
human‐computer
interactions.
Herein,
deep‐learning‐assisted
grasping
system
based
on
piezoresistive
sensing
glove,
hardware
conditioning,
acquisition
circuits,
multibranch
deep‐capsule
network
reported.
Owing
to
multiscale
3D
structure
carbon
nanotube
(CNTs)/carbon
fiber
(CFs)
embedded
polydimethylsiloxane
(PDMS),
glove
highly
sensitive
pressure
exerted
by
external
objects.
acquired
signals
are
reflected
hand‐like
background
map,
combination
multiple
subgraphs
used
build
dataset.
A
constructed
encode
spatial
while
realizing
object
with
accuracy
99.4%.
Therefore,
proposed
possesses
good
human‐robot
interaction
capabilities,
providing
new
approach
development
robots
field
perceptual
applications.
