Polymers,
Год журнала:
2025,
Номер
17(5), С. 585 - 585
Опубликована: Фев. 22, 2025
Flexible
and
wearable
electronics
often
rely
on
piezoelectric
materials,
Poly(vinylidene
fluoride-trifluoroethylene)
(P(VDF-TrFE))
membranes
are
popular
for
this
application.
However,
their
electromechanical
performance
is
limited
due
to
a
relatively
low
coefficient.
To
address
this,
study
investigates
the
incorporation
of
zinc
oxide
(ZnO)
nanorods
(NRs)
into
P(VDF-TrFE)
nanofiber
membrane
matrix.
ZnO
NRs
were
synthesized
doped
well-aligned
nanofibers
using
electrospinning
with
high-speed
rotating
drum.
The
impact
NRs’
mass
fraction
properties
was
evaluated.
Results
show
that
maximum
coefficient
(d33)
−62.4
pC/N,
9.5
times
higher
than
neat
P(VDF-TrFE),
achieved.
These
enhanced
demonstrated
excellent
in
finger-tapping
bending
detection,
making
them
promising
large-scale
flexible
sensor
applications
electronics.
This
approach
offers
simple
effective
route
improve
materials
devices.
Abstract
Amid
the
global
energy
crisis
and
rising
emphasis
on
sustainability,
efficient
harvesting
has
become
a
research
priority.
Nanogenerators
excel
in
converting
abundant
mechanical
thermal
into
electricity,
offering
promising
path
for
sustainable
solutions.
Among
various
nanogenerator's
materials,
Polyvinylidene
fluoride
(PVDF),
with
its
distinctive
molecular
structure,
exhibits
multifunctional
electrical
properties
including
dielectric,
piezoelectric
pyroelectric
characteristics.
These
combined
excellent
flexibility
make
PVDF
prime
candidate
material
nanogenerators.
In
nanogenerators,
this
is
capable
of
efficiently
collecting
energy.
This
paper
discusses
how
PVDF's
are
manifested
three
types
nanogenerators
compares
performance
these
addition,
strategies
to
improve
output
demonstrated,
physical
chemical
modification
as
well
structural
optimization
such
hybrid
structures
external
circuits.
It
also
introduces
application
natural
human
harvesting,
prospects
medical
technologies
smart
home
systems.
The
aim
promote
use
self‐powered
sensing,
monitoring,
thereby
providing
valuable
insights
designing
more
versatile
Advanced Functional Materials,
Год журнала:
2024,
Номер
unknown
Опубликована: Ноя. 9, 2024
Abstract
Wearable
sensing
devices
can
reliably
track
players'
mobility,
revolutionizing
sports
training.
However,
current
electronics
face
challenges
due
to
their
complex
structures,
battery
dependence,
and
unreliable
signals.
Here,
a
tennis
training
system
is
demonstrated
using
machine
learning
based
on
elastic
self‐powered
yarns.
By
employing
simple
effective
strategy,
piezoelectric
nanofibers
triboelectric
materials
are
integrated
into
single
yarn,
enabling
the
simultaneous
translation
of
both
Additionally,
these
yarns
exhibit
outstanding
processability,
allowing
them
be
machine‐knitted
fabrics.
Due
great
sensitivity,
fabrics
may
detect
human
movement
with
precision.
Machine
algorithms
classify
interpret
signals
recognize
various
motions.
The
developed
aims
maximize
its
benefits
provide
comprehensive
for
players
coaches.
This
work
enhances
applicability
systems
in
smart
monitoring
training,
advancing
field
intelligent
Applied and Computational Engineering,
Год журнала:
2025,
Номер
123(1), С. 147 - 160
Опубликована: Янв. 7, 2025
A
novel
nanogenerator
combining
triboelectric
and
piezoelectric
mechanisms
is
developed
in
this
study.
In
addition
to
the
conventional
hybrid
type
nanogenerators,
of
content
layer
remarkably
increases
responsiveness.
The
nanogenerators
are
successfully
used
as
wearable
power
sources
for
hydrothermometers
self-powered
motion
detectors.
This
research
has
provided
a
approach
enhancing
performance
while
maintaining
their
high
flexibility
compactness,
thereby
breaking
bottleneck
use
electronics.
