Advanced Energy Materials,
Год журнала:
2024,
Номер
unknown
Опубликована: Дек. 17, 2024
Abstract
Triboelectric
nanogenerators
(TENGs)
have
demonstrated
outstanding
potential
as
energy
harvesters
and
sensors
for
future
wearable
electronics.
However,
TENGs
still
require
major
improvements
in
their
theory
optimization,
especially
the
sliding‐mode
designs.
Addressing
this
gap,
a
novel
theoretical
model
based
on
distance‐dependent
electric
field
(DDEF)
sliding
mode
is
presented
here.
The
used
to
simulate
electrical
outputs
impedance
behaviour
of
TENG,
results
are
verified
experimentally.
outcomes
indicate
that
compared
existing
models,
new
provides
higher
accuracy
representing
experimental
TENG.
Next,
all
primary
parameters
(material,
structural
motion
parameters)
which
affect
TENG
analyzed,
uncovering
optimization
strategies
more
comprehensive
parametric
analysis
previous
models.
More
importantly,
approach
equally
applicable
well
contact‐separation
This
eliminates
need
bespoke
capacitor
models
each
type,
leading
universal
platform
TENGs.
facilitates
cross‐comparison
between
different
working
modes,
range
previously
unreported
output
trends.
Hence,
work
significantly
expands
understanding
TENGs,
paving
way
efficient
device
RSC Advances,
Год журнала:
2025,
Номер
15(2), С. 844 - 850
Опубликована: Янв. 1, 2025
A
novel
TENG
with
a
3D-printed
PHMG-GA-PVA
polymer
composite
film
as
positive
electrodes
exhibits
high
output
efficiency,
remarkable
durability
and
antibacterial
properties,
making
it
ideal
for
advanced
energy-harvesting
applications.
Abstract
Considering
today's
environmental
concerns,
the
development
of
triboelectric
nanogenerator
(TENG)
is
gaining
immense
interest
as
a
green
energy
harvesting
technology.
However,
most
materials
leveraged
in
TENG
construction
are
based
on
non‐renewable
resources.
Therefore,
developing
bio‐based
composite
with
high
performance
for
application
extremely
desirable.
This
study
uses
Tannic
acid
(TA),
naturally
occurring
polyphenolic
compound,
reactive
bio‐filler
elastomer
Epoxidized
natural
rubber
(ENR‐50).
bio‐composite
utilized
tribo‐positive
pair
construction,
which
resulted
very
output
voltage
751
V
(at
9
Hz)
and
568
5
Hz).
The
maximum
obtained
power
density
recorded
at
Hz
37
W
m
−2
1
MΩ
external
load
resistance
an
average
20
10–100
MΩ.
excellent
results
from
electron‐donating
ability
TA.
It
many‐fold
higher
terms
than
recently
reported
all
bio‐composites.
Density
Functional
Theory
to
probe
contact
electrification
process.
result
correlates
surface
energy,
dielectric,
dynamic
mechanical
properties,
morphologies
(roughness).
Notably
that
such
can
be
promising
material
next‐generation
The
energy
harvesting
crisis
has
caused
great
necessity
for
new
technologies,
among
which
triboelectric
nanogenerators
(TENGs)
garnered
global
attention.
Based
on
our
previous
research
a
novel
2D
material
graphitic
carbon
nitride
(g-C3N4),
this
work
explores
the
influence
of
g-C3N4
hybrid
dopants
with
Polydimethylsiloxane
(PDMS)
performance
enhancement
TENGs.
More
specifically,
systematic
experiments
different
ratios
were
conducted,
including
Ag
nanowires
g-C3N4,
nanotubes
and
MXene
g-C3N4.
optimization
studies
showed
that
nanotube/g-C3N4
at
optimal
ratio
1:1
in
PDMS
composite
presented
an
open
circuit
voltage
(Voc
)
122
V,
short
current
(Isc
5.8
μA,
charge
transfer
(Qsc
105
nC,
while
Ag/g-C3N4
3:1
1
wt
%
best
Voc
92
Isc
4.6
Qsc
49
power
density
1.45
W/m2.
fabricated
dopant/PDMS
TENG
was
utilized
versatile
applications
biomechanical
self‐powered
human-motion
detecting.
In
addition,
we
designed
dish
insole
multiple
TENGs
pressure
sensing
multichannel
data
acquisition
applications.
ACS Applied Materials & Interfaces,
Год журнала:
2024,
Номер
16(32), С. 42242 - 42253
Опубликована: Авг. 5, 2024
A
multiple
self-powered
sensor-integrated
mobile
manipulator
(MSIMM)
system
was
proposed
to
address
challenges
in
existing
exploration
devices,
such
as
the
need
for
a
constant
energy
supply,
limited
variety
of
sensed
information,
and
difficult
human–computer
interfaces.
The
MSIMM
integrates
triboelectric
nanogenerator
(TENG)-based
sensors,
bionic
manipulator,
wireless
gesture
control,
enhancing
sensor
data
usability
through
machine
learning.
Specifically,
includes
tracked
vehicle
platform
carrying
electronics,
including
storage
battery
microcontroller
unit
(MCU).
An
integrated
glove
terminal
application
(APP)
enable
intuitive
improving
interaction.
responds
analyzes
various
environmental
stimuli,
droplet
fall
height,
temperature,
pressure,
material
type,
angles,
angular
velocity
direction,
acceleration
amplitude
direction.
fabricated
using
3D
printing
technology,
sensors
that
generate
electrical
signals
effect
mechanical
motion.
These
are
classified
convolutional
neural
networks
accurate
monitoring.
Our
database
shows
signal
recognition
classification
accuracy
exceeding
94%,
with
specific
accuracies
100%
pressure
99.55%
angle
98.66,
95.91,
96.27,
94.13%
material,
droplet,
respectively.
