Soft Matter,
Год журнала:
2023,
Номер
19(46), С. 9017 - 9026
Опубликована: Янв. 1, 2023
Time-varying
fields
drive
the
motion
of
magnetic
particles
adsorbed
on
liquid
drops
due
to
interfacial
constraints
that
couple
torques
capillary
forces.
Such
magneto-capillary
particle
dynamics
and
associated
fluid
flows
are
potentially
useful
for
propelling
drop
motion,
mixing
contents,
enhancing
mass
transfer
between
phases.
The
design
such
functions
benefits
from
development
validation
predictive
models.
Here,
we
apply
methods
Bayesian
data
analysis
identify
validate
a
dynamical
model
accurately
predicts
field-driven
at
interface
spherical
droplet.
Building
previous
work,
consider
candidate
models
describe
tilting
interface,
field-dependent
contributions
moment,
gravitational
forces,
their
combinations.
each
is
informed
by
tracking
Janus
sphere
moving
in
precessing
field
different
frequencies
angles.
We
infer
uncertain
parameters
model,
criticize
ability
predict
experimental
data,
select
most
probable
candidate,
which
accounts
forces
interface.
show
how
this
favored
can
complex
trajectories
with
micron-level
accuracy
across
range
driving
considered.
discuss
knowledge
"best"
be
used
experiments
inform
accurate
parameter
estimates
or
achieve
desired
trajectories.
Micromachines,
Год журнала:
2024,
Номер
15(1), С. 131 - 131
Опубликована: Янв. 12, 2024
Aligned
with
the
medical
device
industry's
trend
of
miniaturization,
academic
and
commercial
researchers
are
constantly
attempting
to
reduce
sizes.
Many
applications
require
miniature
actuators
(2
mm
range)
perform
mechanical
work;
however,
biocompatible
micromotors
not
readily
available.
To
that
end,
a
hydraulic
motor-driven
cutting
module
aims
combine
drug
delivery
is
presented.
The
motor
prototype
developed
has
an
outside
diameter
(OD)
~4
(twice
target
size)
1
drive
shaft
attach
cutter.
Four
different
designs
were
explored
fabricated
using
additive
manufacturing.
benchtop
experimental
data
prototypes
presented
herein.
For
fluid
inlet
perpendicular
blades,
average
angular
velocity
was
10,593
RPM
at
flowrate
3.6
mL/s
42,597
10.1
mL/s.
This
design
numerically
modeled
3D-transient
simulations
in
ANSYS
CFX
(version
2022
R2)
determine
performance
characteristics
internal
resistance
motor.
Simplified
mathematical
models
also
used
compute
compare
peak
torque
simulation
estimates.
viability
current
represents
crucial
milestone
scaling
2
OD
power
microcutter.
Nanoscale,
Год журнала:
2023,
Номер
15(40), С. 16268 - 16276
Опубликована: Янв. 1, 2023
Active
particles,
or
micromotors,
locally
dissipate
energy
to
drive
locomotion
at
small
length
scales.
The
type
of
trajectory
is
generally
fixed
and
dictated
by
the
geometry
composition
particle,
which
can
be
challenging
tune
using
conventional
fabrication
procedures.
Here,
we
report
a
simple,
bottom-up
method
magnetically
assemble
gold-coated
polystyrene
Janus
particles
into
"locked"
clusters
that
display
diverse
trajectories
when
stimulated
AC
electric
fields.
orientation
within
each
cluster
gives
rise
distinct
modes
locomotion,
including
translational,
rotational,
trochoidal,
helical,
orbital.
We
model
this
system
simplified
rigid
beads
demonstrate
qualitative
agreement
between
predicted
experimentally
observed
trajectories.
Overall,
provides
facile
means
scalably
create
micromotors
with
range
well-defined
motions
from
discrete
building
blocks.
Theoretical and Applied Mechanics Letters,
Год журнала:
2024,
Номер
14(5), С. 100534 - 100534
Опубликована: Июль 8, 2024
This
study
focuses
on
exploring
the
complex
dynamical
behaviors
of
a
magnetic
microrobot
in
random
environment.
The
purpose
is
to
reveal
mechanism
influence
disturbance
dynamics.
paper
establishes
stochastic
dynamic
models
for
before
and
after
deformation,
considering
Gaussian
white
noise.
system
responses
are
analyzed
via
steady-state
probability
density
functions
first
deformation
time.
effects
different
field
strengths
fluid
viscosities
movement
speed
angular
velocity
studied.
results
indicate
that
disturbances
can
cause
microrobots
advance
compared
deterministic
case.
work
contributes
design
motion
control
enhances
theoretical
foundation
microrobots.
Soft Matter,
Год журнала:
2023,
Номер
19(46), С. 9017 - 9026
Опубликована: Янв. 1, 2023
Time-varying
fields
drive
the
motion
of
magnetic
particles
adsorbed
on
liquid
drops
due
to
interfacial
constraints
that
couple
torques
capillary
forces.
Such
magneto-capillary
particle
dynamics
and
associated
fluid
flows
are
potentially
useful
for
propelling
drop
motion,
mixing
contents,
enhancing
mass
transfer
between
phases.
The
design
such
functions
benefits
from
development
validation
predictive
models.
Here,
we
apply
methods
Bayesian
data
analysis
identify
validate
a
dynamical
model
accurately
predicts
field-driven
at
interface
spherical
droplet.
Building
previous
work,
consider
candidate
models
describe
tilting
interface,
field-dependent
contributions
moment,
gravitational
forces,
their
combinations.
each
is
informed
by
tracking
Janus
sphere
moving
in
precessing
field
different
frequencies
angles.
We
infer
uncertain
parameters
model,
criticize
ability
predict
experimental
data,
select
most
probable
candidate,
which
accounts
forces
interface.
show
how
this
favored
can
complex
trajectories
with
micron-level
accuracy
across
range
driving
considered.
discuss
knowledge
"best"
be
used
experiments
inform
accurate
parameter
estimates
or
achieve
desired
trajectories.