Mechanics of Advanced Materials and Structures,
Год журнала:
2024,
Номер
unknown, С. 1 - 17
Опубликована: Ноя. 11, 2024
Self-sustained
movement
has
the
ability
to
absorb
energy
from
external
environment
maintain
its
own
movement.
In
present
work,
a
self-sustained
chaotic
simple
pendulum
system
featuring
an
electrothermal
responsive
liquid
crystal
elastomers
fiber
and
mass
ball
is
proposed
examined.
The
power-on
state
achieved
in
through
infusion
of
metal
into
this
fiber.
Which
enables
shrink,
feeding
compensate
for
dissipation
resulting
damping,
thus
allowing
On
basis
existing
dynamic
elastomer
model,
governing
equations
are
established,
behavior
under
stimulation
theoretically
explored.
Numerical
findings
suggest
that
presents
three
different
patterns,
namely
stationary
pattern,
oscillatory
pattern.
Moreover,
five
parameters
elastic
coefficient,
viscosity
gravitational
acceleration,
shrinkage
coefficient
strength
work
can
contribute
better
understanding
systems
driven
by
materials
offer
guidance
further
exploration
applications
such
as
chaos
machine,
mind-brain
analysis.
Physical review. E,
Год журнала:
2024,
Номер
109(4)
Опубликована: Апрель 29, 2024
Active
materials
possess
unique
properties
of
being
able
to
respond
autonomously
external
stimuli,
yet
realizing
and
regulating
the
motion
behavior
active
machines
remains
a
major
challenge.
Conventional
control
approaches,
including
sensor
device
control,
are
both
complex
difficult
implement.
In
contrast,
materials--based
self-oscillators
offer
distinct
such
as
periodic
ease
regulation.
Inspired
by
paddle
boats,
we
have
proposed
conceptual
light-fueled
self-paddling
boat
with
photothermally
responsive
liquid
crystal
elastomer
(LCE)--based
motor
that
operates
under
steady
illumination
incorporates
an
LCE
fiber.
Based
on
well-established
dynamic
model
rotation
dynamics,
equations
for
governing
LCE-steered
derived,
driving
torque
LCE-based
paddling
velocity
formulated
successively.
The
numerical
results
show
two
modes
illumination:
static
mode
mode.
regime
arises
from
competition
between
frictional
torque.
Moreover,
critical
conditions
required
trigger
quantitatively
examined
well
significant
system
parameters
affecting
torque,
angular
velocity,
velocity.
exhibits
benefits
customizable
size
untethered
ambient
powered,
which
provides
valuable
insights
into
design
application
micromachines,
soft
robotics,
energy
harvesters,
beyond.
Mathematics,
Год журнала:
2024,
Номер
12(7), С. 1019 - 1019
Опубликована: Март 28, 2024
Self-oscillatory
systems
have
great
utility
in
energy
harvesting,
engines,
and
actuators
due
to
their
ability
convert
ambient
directly
into
mechanical
work.
This
characteristic
makes
design
implementation
highly
valuable.
Due
the
complexity
of
motion
process
simultaneous
influence
multiple
parameters,
computing
self-oscillatory
proves
be
challenging,
especially
when
conducting
inverse
parameter
design.
To
simplify
computational
process,
a
combined
approach
o0f
Random
Forest
(RF)
Backpropagation
Neural
Network
(BPNN)
algorithms
is
employed.
The
example
used
self-rotating
skipping
rope
made
liquid
crystal
elastomer
(LCE)
fiber
mass
block
under
illumination.
Numerically
solving
governing
equations
yields
precise
solutions
for
rotation
frequency
LCE
various
system
parameters.
A
database
containing
138,240
sets
conditions
corresponding
frequencies
constructed
train
RF
BPNN
models.
training
outcomes
indicate
that
can
accurately
predict
demonstrating
high
stability
efficiency.
allows
us
discover
influences
distinct
parameters
on
as
well.
Moreover,
it
capable
design,
meaning
derive
desired
combination
from
given
frequency.
Through
this
study,
deeper
understanding
dynamic
behavior
achieved,
offering
new
theoretical
foundation
construction.
