Hydraulically
amplified
self-healing
electrostatic
(HASEL)
actuators
are
known
for
their
muscle-like
activation,
rapid
operation,
and
direct
electrical
control,
making
them
highly
versatile
use
in
soft
robotics.
While
current
methods
enhancing
HASEL
actuator
performance
largely
emphasize
material
innovation,
our
approach
offers
an
additional
architectural
strategy.
In
this
study,
we
introduce
a
novel
hydraulically
rigidity-adaptive
(HARIE)
designed
to
significantly
enhance
while
maintaining
controllability
by
elucidating
the
underlying
issues
of
pull-in
instability.
Our
experimental
results
indicate
that
HARIE
achieves
significant
improvement,
with
over
200%
increase
angular
output
consistently
strong
torque
compared
flexible
electrodes.
Notably,
maximum
step
is
21.8°/kV,
approximately
one
third
rigid
electrodes
(62.3°/kV),
suggesting
smoother
motion
control.
The
actuator's
effectiveness
further
demonstrated
practical
applications;
it
successfully
grasps
orange
weighing
15.2
g
delicate
dandelion.
Additionally,
precise
targeting
capability
evidenced
its
ability
manipulate
laser
induce
heat
accumulation,
leading
balloon's
breakdown,
thereby
showcasing
high
level
controllability.
method
mitigates
negative
impacts
suboptimal
materials
demonstrates
potential
enhancement
when
combined
superior
materials.
Giant,
Год журнала:
2024,
Номер
19, С. 100299 - 100299
Опубликована: Июнь 5, 2024
In
the
era
of
smart
and
sustainable
technology
driven
by
naturally
occurring
materials,
various
nanocellulose-based
materials
play
a
crucial
role.
Shape
memory
behaviour
self-healing
capabilities
nanocelluloses
are
emerging
as
focal
points
in
numerous
research
domains.
Nanocellulose
its
derivatives
such
cellulose
nanocrystals
(CNC)
nanofibers
(CNF),
currently
limelight
due
to
their
excellent
shape-memory
properties,
making
them
suitable
for
multifunctional
devices.
this
regard,
CNF,
cutting-edge
material,
has
spurred
researchers
explore
potential
developing
contemporary
personalized
health
Therefore,
timely
comprehensive
review
is
essential
gain
deep
insights
into
effectiveness
CNF
Herein,
we
first
provide
succinct
introduction
all
nanocellulose
materials.
This
also
depicts
recent
advancements
breakthroughs
large
effective
synthesis
CNF-based
hybrid
Next,
focusing
on
performance,
sheds
new
light
advanced
applications
Finally,
perspectives
current
challenges
opportunities
field
summarized
future
an
in-depth
understanding
"CNF-based
materials."
Mechanics of Advanced Materials and Structures,
Год журнала:
2024,
Номер
unknown, С. 1 - 34
Опубликована: Янв. 30, 2024
Shape
memory
alloys
(SMAs)
are
widely
used
across
various
industries,
including
medicine,
due
to
their
inherent
properties
such
as
the
shape
effect,
pseudo-elasticity,
antigenicity,
decomposition,
biodegradability,
biocompatibility,
resistance
corrosion,
and
wear.
This
review
article
aims
cover
different
aspects
of
SMAs,
fundamental
concepts
origin,
exceptional
properties,
fabrication
techniques,
structural
analysis.
Exploring
SMAs
at
nanoscale
using
molecular
dynamics
analysis
recent
studies
that
integrate
machine
learning
techniques.
Finally,
concludes
with
a
discussion
applications
considering
potential
fields
use.
eScience,
Год журнала:
2024,
Номер
4(5), С. 100250 - 100250
Опубликована: Март 1, 2024
Soft
actuators
are
constituted
by
a
type
of
intelligent
materials,
and
they
can
generate
reversible
mechanical
motions
under
external
stimuli.
They
usually
achieve
continuous
actuation
manual
turning
on
or
off
the
power
supply,
which
significantly
increases
operation
complexity.
In
contrast,
self-oscillating
autonomous
constant
stimuli,
have
recently
attained
great
advancements,
as
well
promoted
development
soft
robotics.
this
review,
latest
achievements
oscillators
summarized.
First,
mechanisms
mainly
including
oscillating
chemical
reactions
self-shadowing-induced
negative
feedback
loops
discussed.
The
constructed
with
various
materials
configurations,
driven
different
stimuli
applied
in
fields
then
presented
detail.
Finally,
difficulties
hopes
presented.
Overall,
stage
vigorous
development,
we
believe
that
future,
will
be
used
make
many
scenarios
more
autonomous.
