Flexible sensing technology for fruit quality control in the cold chain: Characterization, application, and improvement
Food Control,
Journal Year:
2023,
Volume and Issue:
154, P. 109976 - 109976
Published: July 18, 2023
Language: Английский
Enhancing tissue regeneration with self-healing elastic piezoelectricity for sustainable implants
Nano Energy,
Journal Year:
2023,
Volume and Issue:
120, P. 109092 - 109092
Published: Nov. 17, 2023
This
study
explores
an
innovative
energy
harvesting
technique
for
biomedical
implants
in
alignment
with
the
United
Nations
Sustainable
Development
Goals,
focusing
on
good
health
and
well-being
(Goal
3).
The
promotes
sustainable
healthcare
solutions
by
analysing
mechanically
deformed
materials,
surface
charges,
electric
fields.
review
research
delves
into
advancements
potential
of
piezoelectric
materials
their
integration
other
energy-harvesting
technologies,
such
as
thermoelectrics,
to
create
hybrid
systems
production
applications.
highlights
development
stretchable,
self-healing,
biodegradable
enabled
nano-fillers,
structural
engineering,
various
fabrication
techniques.
Integrating
thermoelectric
Energy
Harvesters
(EH)
has
led
devices
capable
simultaneously
harnessing
thermal
mechanical
energy,
ensuring
continuous
efficient
production.
self-healing
crystals
possibility
creating
durable
resilient
EH
that
can
withstand
repeated
stress.
novelty
this
lie
developing
adaptive,
high-performance,
environmentally
friendly
devices.
By
combining
piezoelectrics
disciplines
exploring
new
designs,
techniques,
aims
inspire
future
innovation
solutions.
Language: Английский
Numerical Simulation of MERVH (Motion and Energy Regulating Vibration Harvester) for different human activities
Ganesh Korwar,
No information about this author
Siddharth Jabade,
No information about this author
Nitin Satpute
No information about this author
et al.
Published: Dec. 14, 2022
In
this
paper
the
numerical
simulation
of
MERVH
is
presented.
The
mainly
intended
to
investigate
effectiveness
for
human
activities
such
as
slow
walking,
fast
jumping,
jogging,
and
running.
MATLAB-Simulink
used
numerically
analyze
theoretical
model.
results
revealed
that
provides
average
power
output
varying
from
0.04
W
0.19
peak
4.41
W.
maximum
was
obtained
in
case
running
motion.
found
be
useful
powering
wearable
devices
operating
medical
sensors.
Language: Английский