Processes,
Journal Year:
2024,
Volume and Issue:
12(11), P. 2310 - 2310
Published: Oct. 22, 2024
Vibration
signals
at
the
bottom
of
drill
string
during
geological
drilling
are
crucial
for
lithological
identification
and
parameter
optimization.
However,
existing
downhole
vibration
sensors
suffer
from
limitations
in
power
supply
reliability.
This
study
proposes
a
self-powered
sensor
with
high
redundancy
based
on
triboelectric
nanogenerator
principle,
which
is
capable
measuring
both
axial
transverse
vibrations,
thereby
reducing
dependence
external
sources.
The
experimental
results
show
that
can
measure
frequencies
ranging
0
to
11
Hz
an
error
less
than
4%
5
5%.
It
operate
stably
temperatures
180
°C
relative
humidities
95%.
sensor’s
measurement
features
six
identical
structures,
providing
effectively
enhancing
its
Furthermore,
exhibits
generation
capabilities.
When
load
1
MΩ
applied
module
10
module,
achieves
maximum
output
measurements,
reaching
32.4
×
10−9
W
2.1
W,
respectively.
Compared
traditional
bottom-of-the-hole
sensors,
this
possesses
self-powering
capabilities
reliability,
improve
operational
efficiency
hold
significant
practical
value
future
applications.
Advanced Materials,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 21, 2025
Abstract
Triboelectric
nanogenerators
(TENGs)
have
gained
significant
attention
for
ability
to
convert
mechanical
energy
into
electrical
energy.
As
the
applications
of
TENG
devices
expand,
their
safety
and
reliability
becomes
priority,
particularly
where
there
is
risk
fire
or
spontaneous
combustion.
Flame‐retardant
materials
can
be
employed
address
these
concerns
without
compromising
performance
efficiency
TENGs.
The
primary
focus
this
review
on
flame‐retardant
materials,
including
polymers,
biomaterials,
liquid
aerogels,
carbon‐based
materials.
fundamental
properties
are
elucidated.
characteristics
each
material
type
described,
along
with
potential
boost
importance
flame
retardancy
in
advancing
technology
projected
from
its
usage
wearable
electronics,
self‐powered
sensors,
smart
textiles.
Current
challenges
such
as
compatibility,
fabrication
complexity,
environmental
addressed,
proposed
strategies
overcoming
them.
This
underscores
significance
strengthening
functionality
devices,
paving
way
widespread
adoption
across
various
industries.
Applied Sciences,
Journal Year:
2025,
Volume and Issue:
15(7), P. 3758 - 3758
Published: March 29, 2025
Wind
energy
represents
a
solution
for
reducing
environmental
impact.
For
this
reason,
research
studies
the
elements
that
propose
optimizing
wind
production
through
intelligent
solutions.
Although
there
are
address
optimization
of
turbine
performance
or
other
indirectly
related
factors
in
production,
remains
topic
insufficiently
explored
and
synthesized
literature.
This
how
machine
learning
(ML)
techniques
can
be
applied
to
optimize
production.
aims
study
systematic
applications
ML
identify
analyze
key
stages
optimized
Through
research,
case
highlighted
by
which
methods
proposed
directly
target
issue
power
process
turbines.
From
total
1049
articles
obtained
from
Web
Science
database,
most
studied
models
context
artificial
neural
networks,
with
478
papers
identified.
Additionally,
literature
identifies
224
have
random
forest
114
incorporated
gradient
boosting
about
power.
Among
these,
60
specifically
addressed
aspect
allows
identification
gaps
The
notes
previous
focused
on
forecasting,
fault
detection,
efficiency.
existing
addresses
indirect
component
performance.
Thus,
paper
current
discusses
algorithms
processes,
future
directions
increasing
efficiency
turbines
integrated
predictive
methods.
Advanced Functional Materials,
Journal Year:
2024,
Volume and Issue:
unknown
Published: July 26, 2024
Abstract
Triboelectric
nanogenerator
(TENG)
has
received
significant
attention
as
an
energy
harvesting
technology
capable
of
converting
mechanical
from
the
environment
into
electrical
power.
However,
due
to
its
inherent
high
impedance
and
low
charge
transfer
output
characteristics,
TENG
is
often
relatively
small.
Current
research
typically
focuses
on
switching
off
under
intrinsic
voltage
for
performance
management.
To
further
improve
performance,
management
strategy
proposed
that
aimed
at
boosting
in
this
study.
This
ingeniously
designs
discharge
sequence
two
switches
adjust
connection
between
capacitor
matched
capacitor,
thereby
facilitating
instantaneous
voltages
surpassing
significantly
enhancing
power
density.
Combining
with
a
converter
enhanced
storage
efficiency
capacitors,
enabling
improved
supply
sensor
devices.
Moreover,
experimental
results
show
density
324.8
kW
m
−
2
,
indicating
100%
increase
compared
direct
strategy.
With
such
power,
five
parallel
10‐watt
commercial
lamps
can
be
illuminated.
introduces
novel
idea
achieving
TENG.
Advanced Materials,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Oct. 30, 2024
Abstract
The
past
decade
has
witnessed
remarkable
progress
in
high‐performance
Triboelectric
nanogenerators
(TENG)
with
the
design
and
synthesis
of
functional
dielectric
materials,
exploration
novel
dynamic
charge
transport
mechanisms,
innovative
architecture,
making
it
one
most
crucial
technologies
for
energy
harvesting.
High
output
density
is
fundamental
TENG
to
expand
its
application
scope
accelerate
industrialization;
depends
on
equilibrium
generation,
trapping,
de‐trapping,
migration
within
core
components.
Here,
this
review
classifies
summarizes
approaches
enhance
collection
layers.
milestone
high
reviewed
based
material
selection
mechanisms.
state‐of‐the‐art
principles
techniques
generating
suppressing
decay
are
discussed
highlighted
detail,
distinct
advanced
materials
preparation,
effective
excitation
strategy
emphatically
introduced.
Lastly,
bottleneck
future
research
priorities
boosting
summarized.
A
summary
these
cutting‐edge
developments
intends
provide
readers
a
deep
understanding
high‐output
TENG.
Sensors,
Journal Year:
2024,
Volume and Issue:
24(13), P. 4298 - 4298
Published: July 2, 2024
The
triboelectric
nanogenerator
(TENG),
as
a
novel
energy
harvesting
technology,
has
garnered
widespread
attention.
As
relatively
young
field
in
research,
investigations
into
various
aspects
of
the
TENG
are
still
ongoing.
This
review
summarizes
development
and
dissemination
fundamental
principles
triboelectricity
generation.
It
outlines
evolution
principles,
ranging
from
fabrication
first
to
selection
materials
confirmation
electron
cloud
overlapping
model.
Furthermore,
recent
advancements
application
scenarios
discussed
four
perspectives,
along
with
research
progress
performance
optimization
through
three
primary
approaches,
highlighting
their
respective
strengths
limitations.
Finally,
paper
addresses
major
challenges
hindering
practical
adoption
TENGs,
while
also
providing
insights
future
developments.
With
continued
on
TENG,
it
is
expected
that
these
can
be
overcome,
paving
way
for
its
extensive
utilization
real-world
scenarios.
