Geometric
microengineering
of
the
active
layer
in
a
piezoelectric
sensor
has
emerged
as
hot
topic
to
improve
performance
but
meets
challenges
due
brittle
nature
ceramics.
Here,
we
demonstrate
that
fs-laser-induced
compressive
stress
leads
film
bulging
nanoscale
and
forms
various
shapes
nanostructures,
including
nanobumps,
nanovolcanoes,
nanocaves
on
Pb
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.
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.
Sensors,
Journal Year:
2025,
Volume and Issue:
25(7), P. 2312 - 2312
Published: April 5, 2025
Flexible
magnetic
tactile
sensors
hold
transformative
potential
in
robotics
and
human-computer
interactions
by
enabling
precise
force
detection.
However,
existing
face
challenges
balancing
sensitivity,
detection
range,
structural
adaptability
for
sensing
force.
This
study
proposed
a
pre-compressed
magnetization
method
to
address
these
limitations
amplifying
the
magnetoelastic
effect
through
optimized
direction
distribution
of
elastomer.
A
body-centered
cubic
lattice-structured
magnetoelastomer
featuring
regular
deformation
under
compression
was
fabricated
via
digital
light
processing
(DLP)
validate
this
method.
Finite
element
simulations
experimental
analyses
revealed
that
magnetizing
material
60%
strain
distribution,
enhancing
force-magnetic
coupling.
Integrating
elastomer
with
hall
sensor,
prepared
sensor
demonstrated
low
limit
(1
mN),
wide
range
(0.001-10
N),
rapid
response/recovery
times
(40
ms/50
ms),
durability
(>1500
cycles).
By
using
machine
learning,
enabled
accurate
3D
prediction.
Nano Letters,
Journal Year:
2025,
Volume and Issue:
unknown
Published: April 30, 2025
Developing
intelligent
tactile
systems
for
perceiving
the
real
world
is
significant
electronic
skin
and
wearable
devices.
However,
avoiding
complex
circuitry
achieving
lightweight
wireless
devices
remain
challenging.
This
study
presents
a
biomimetic,
ultrasensitive,
multifunctional
radio
frequency
sensor
(WiRFTS),
which
comprises
porous
polyaniline-polydimethylsiloxane
(PANI-PDMS)
sponge,
pressure
electrodes,
communication
coil.
Benefiting
from
synergistic
effect
of
microstructure
high
dielectric
PANI
particles,
WiRFTS
exhibits
an
ultrahigh
sensitivity
1.394
MHz/kPa
(<10
kPa),
linear
0.319
(10-200
resolution
0.28%.
Especially,
electromagnetic
field
at
surface
endows
it
with
exceptional
spatial
perception.
A
noncontact
material
cognition
system
established
by
combining
artificial
intelligence
algorithms,
100%
recognition
accuracy
eight
materials.
Extensive
RF-based
properties
ensures
surpasses
other
technologies
in
identification
diversity.