Developing an efficient analytical model for predicting the electrical conductivity of polymeric nanocomposites containing hybrid carbon nanotube/carbon black nanofillers
Composites Part A Applied Science and Manufacturing,
Journal Year:
2024,
Volume and Issue:
185, P. 108374 - 108374
Published: July 23, 2024
Language: Английский
A review on artificial intelligence-enabled mechanical analysis of 3D printed and FEM-modelled auxetic metamaterials
Aman Garg,
No information about this author
Anshu Sharma,
No information about this author
Weiguang Zheng
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et al.
Virtual and Physical Prototyping,
Journal Year:
2024,
Volume and Issue:
20(1)
Published: Dec. 30, 2024
Auxetic
structures,
characterised
by
a
negative
Poisson's
ratio,
exhibit
the
unique
property
of
expanding
in
all
directions
under
tensile
loading
and
contracting
when
compressed.
The
behaviour
these
structures
is
highly
influenced
arrangement
material
within
unit
cell
interactions
between
cells.
Due
to
complexity
their
behaviour,
understanding
modelling
auxetic
materials
pose
significant
challenges,
requiring
extensive
experimentation
sophisticated
frameworks.
As
result,
machine
learning
(ML)
techniques
have
emerged
as
powerful
tool
for
predicting
mechanical
properties
studying
metamaterials
various
conditions.
This
review
provides
comprehensive
analysis
use
ML
algorithms
performance
metamaterials.
It
discusses
details
datasets,
employed,
3D
printing
technologies
used
sample
fabrication,
geometries
explored
literature.
In
addition
3D-printed
this
also
includes
findings
from
finite
element-based
models.
Finally,
paper
outlines
future
research
directions,
highlighting
opportunities
advance
application
using
techniques.
Language: Английский
Enhancement of vibration energy harvesting using a combination of acoustic black holes and meta structures
Alireza Sangsefidi,
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Davood Younesian
No information about this author
Mechanics of Advanced Materials and Structures,
Journal Year:
2025,
Volume and Issue:
unknown, P. 1 - 20
Published: March 11, 2025
Language: Английский
Nanoimprinted PVDF–MWCNT Composites with Silver Coating as a Label-Free Plasmonic Platform for Ultrasensitive Detection
ACS Applied Nano Materials,
Journal Year:
2025,
Volume and Issue:
unknown
Published: April 8, 2025
This
study
investigates
the
development
of
an
organic
hybrid
composite
based
on
polyvinylidene
fluoride
and
multiwalled
carbon
nanotubes.
We
examine
use
nanoimprinting
to
form
submicron
arrays
with
roughened
surface
topography
composite.
nanoscale
roughening
effect
arises
from
nanotubes
at
surface,
which
is
absent
in
imprinted
pure
fluoride.
demonstrate
that
depositing
a
thin
silver
layer
onto
nanoimprinted
containing
(MWCNTs)
produces
approximately
10-fold
enhancement
surface-enhanced
Raman
scattering
(SERS)
signal
intensity
compared
PVDF
film
also
yields
significantly
higher
SERS
response
than
observed
flat
(nonimprinted)
MWCNT/PVDF
Furthermore,
subjecting
superband
gap
irradiation
results
additional
2-fold
increase
strength.
research
highlights
potential
polymer
doped
plasmon
active
for
sensitive
efficient
chemical
detection.
Language: Английский