Advanced Materials,
Journal Year:
2025,
Volume and Issue:
unknown
Published: May 20, 2025
Abstract
Artificial
tactile
perception
systems
that
emulate
the
functions
of
slow
adaptive
(SA)
and
fast
(FA)
cutaneous
mechanoreceptors
are
essential
for
developing
advanced
prosthetics
humanoid
robots.
However,
constructing
a
high‐performance
sensory
system
within
single
device
capable
simultaneously
perceiving
both
static
dynamic
forces
surface‐texture
recognition
remains
critical
challenge;
this
contrasts
with
common
strategies
integrating
individual
SA‐
FA‐mimicking
sensors
in
multi‐layered,
multi‐circuit
configurations.
Herein,
textile
pressure/tactile
(PT)
sensor
is
reported
based
solely
on
piezoresistive
principle
alongside
high
sensitivity
rapid
response
to
high‐frequency
vibrations
forces.
These
characteristics
attributed
sensor's
3D
multiscale
architecture
corresponding
hierarchical
structural
deformation
its
honeycomb‐like
sensing
fabric.
As
proof‐of‐concept
application
relevant
robotics
prosthetics,
an
automated
surface‐texture‐recognition
constructed
by
PT
machine‐learning
algorithms,
prosthetic
device,
industrial
robot
arm,
graphical
user
interface.
This
artificial
demonstrates
ability
learn
distinct
object
features,
differentiate
fine
surface
textures,
subsequently
classify
unknown
textiles
accuracy
(>98.9%)
across
wide
range
scanning
speeds
(50–300
mm
s
−1
).
results
show
promise
future
development
interactive
intelligence.
Processes,
Journal Year:
2025,
Volume and Issue:
13(1), P. 281 - 281
Published: Jan. 20, 2025
Microreactors
have
the
advantages
of
high
heat
and
mass
transfer
efficiency,
strict
control
reaction
parameters,
easy
amplification,
good
safety
performance,
been
widely
used
in
various
fields
such
as
chip
manufacturing,
fine
chemicals,
biomanufacturing.
However,
narrow
microchannels
microreactors
often
become
filled
with
catalyst
particles,
leading
to
blockages.
To
address
this
challenge,
study
proposes
a
multiphase
flow
model
based
on
lattice
Boltzmann
method
(LBM)
investigate
dynamic
changes
during
bubble
collapse
process
temperature
distribution
regularities.
Based
developed
three-phase
dynamics
model,
delves
into
shock
evolution
analyzes
Then,
patterns
under
different
particle
density
conditions
are
explored.
The
found
that
action
wave,
stable
structure
liquid
film
is
destroyed,
deforms
collapses.
At
moment
collapse,
energy
rapidly
transferred
from
potential
kinetic
field.
Subsequently,
converted
pressure
waves.
This
results
rapid
generation
extremely
field,
creating
high-velocity
jets
intense
turbulent
vortices,
which
can
enhance
effects
flows.
certain
phenomenon
will
be
formed
at
region
relatively
chaotic
random.
waves
generated
significant
impact
motion
trajectories
while
influence
high-density
particles
small.
offer
theoretical
basis
for
understanding
mechanisms
flow.
Moreover,
these
findings
practical
implications
advancing
technologies
industrial
applications,
including
manufacturing
chemical
transport.
Lubricants,
Journal Year:
2025,
Volume and Issue:
13(3), P. 117 - 117
Published: March 10, 2025
With
the
rapid
development
of
new
energy
vehicle
market,
demand
for
efficient,
low-noise,
low-energy
consumption,
high-strength,
and
durable
gear
transmission
systems
is
continuously
increasing.
Therefore,
it
has
become
imperative
to
conduct
in-depth
research
into
fluid
heat
transfer
lubrication
dynamics
within
gearboxes.
In
systems,
interaction
between
fluids
solids
leads
complex
nonlinear
characteristics
gears
lubricants,
making
resolution
gearbox
thermodynamic
models
highly
challenging.
This
paper
proposes
a
model
based
on
LBM-LES
coupling
study
dynamic
laws
process.
The
results
indicate
that
intense
shear
effects
caused
by
high
speeds
generate
vortices,
which
are
particularly
pronounced
larger
gears.
mixing
effect
in
these
vortex
regions
better,
achieving
more
uniform
dissipation
effect.
Furthermore,
flow
lubricant
closely
related
speed
temperature.
Under
high-temperature
conditions
(such
as
100
°C),
diffusion
range
increases,
forming
wider
oil
film,
but
its
viscosity
significantly
decreases,
leading
greater
stirring
losses.
By
optimizing
selection
lubricants
parameters,
efficiency
reliability
system
can
be
further
improved,
extending
service
life.
provides
comprehensive
analytical
framework
multi-stage
clarifying
mechanisms
offering
insights
theoretical
foundations
future
engineering
applications
this
field.
Advanced Intelligent Systems,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Sept. 23, 2024
Marker‐type
vision‐based
tactile
sensors
(VTS)
realize
force
sensing
by
calibrating
marker
vector
information.
The
visualization
can
provide
high‐precision
and
multimodal
information
to
promote
robotic
dexterous
manipulation
development.
Considering
VTS's
contribution
measurement,
this
article
reviews
the
advanced
measurement
technologies
of
VTSs.
First,
working
principle
marker‐type
VTSs
is
introduced,
including
single‐layer
markers,
double‐layer
color
coding,
optical
flow.
Then,
relationship
between
type
category
discussed
in
detail.
On
basis,
process
feature
extraction
summarized,
image
processing
marker‐matching
technologies.
According
learning
approach,
methods
are
classified
into
physical
deep
models.
Further,
branches
each
method
analyzed
terms
input
types.
Combined
with
measuring
range
precision,
correlation
sensor
design,
materials,
recognition
performance
further
discussed.
Finally,
difficulties
challenges
analyzed,
future
developments
proposed.
This
review
aims
deepen
understanding
research
progress
applications
a
reference
for
community
technology
generations
related
fields.
Tactile
sensors
are
the
cornerstone
of
modern
technology
development
by
mimicking
human
tactile
perception
and
providing
precise
diverse
mechanical
feedback
for
cutting-edge
fields
such
as
robotics,
medical
equipment,
virtual
reality.
However,
current
research
predominantly
concentrates
on
monitoring
normal
forces.
How
to
accurately
recognize
decouple
multidirectional
force
pairs
remains
a
challenge.
To
this
end,
we
design
sensor
modifying
cuprous
oxide
(Cu2O)
surface
zinc
nanorods
(ZnO
NRs)
arrays
integrating
it
with
transverse
force-to-vertical
conversion
structure.
As
result,
modification
boosts
piezoelectric
output
ZnO
sensitivity
17.25
nA
MPa-1,
which
is
about
3
times
higher
that
pure
ZnO.
The
mechanism
underlying
enhancement
illustrated
from
perspective
surface-engineered
heterojunction.
On
basis,
ability
detect
forces
verified
prototype,
can
monitor
in
12
directions
over
360°
range.
This
work
provides
new
strategy
designing
sensors,
showing
broad
application
prospect
human-machine
interaction
beyond.
Advanced Intelligent Systems,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Feb. 2, 2025
This
article
introduces
a
gecko‐inspired,
rolling,
inward
adhesion/outward
release
gripper
with
adhesive
contact
sensing
for
grasping
convex‐to‐flat
surfaces.
The
consists
of
pneumatically
driven
hierarchical
modules
(bio‐toe)
the
capability
sensing,
and
rolling
inward/outward
module
(rolling
module).
bio‐toe
manufactured
using
soft
materials
can
safely
flexibly
cater
to
curved
flat
developed
four‐bar
linkage
mechanism
allows
opposing
bio‐toes
roll
enhance
adhesion
(adhesion
forces
up
6.3
N
on
surface
23
an
18
m
−1
surface)
outward
decrease
force
in
releasing
(less
than
3
especially
less
0.8
surface).
Embedded
resistive
strain
gauges
provide
real
time
signals
controller
determine
status
bio‐toe,
such
as
bending,
adhesion/release,
even
rates,
thereby
allowing
autonomously
approach,
envelop,
adhere
to,
objects
various
shapes,
potential
dynamic
control
future.
equipped
biomimetic
capabilities
exhibits
broader
range
applicability
smart
grabbing
across
industrial,
agricultural,
human–robot
interaction
contexts.