ACS Applied Polymer Materials,
Journal Year:
2024,
Volume and Issue:
6(8), P. 4904 - 4911
Published: April 11, 2024
Effectively
thermal
conduction
pathways
are
essential
for
achieving
high
conductivity
(TC)
in
polymer-based
composites.
While
constructing
a
segregated
structure
can
yield
TC
with
low
filler
loadings,
traditional
processing
methods
often
have
inherent
drawbacks,
typically
involving
complex
preparation
process
and
reduced
mechanical
performance.
In
this
study,
free-form
was
constructed
based
on
the
full
advantages
of
3D
printing.
The
composite
dense
prepared
by
printing
scaffold
followed
filling
thermally
conductive
then
hot
pressing.
Furthermore,
boron
nitride
(BN)
chosen
as
electrical
insulating
model,
while
graphene
(GR)
served
model.
Benefiting
from
interconnected
network,
3D-printed
composites
GR
exhibit
3.82
W/mK,
representing
2.81
times
that
randomly
blended
fillers.
Concurrently,
these
also
demonstrated
robust
properties,
tensile
strengths
up
to
20.3
40.6
MPa,
respectively,
signifying
substantial
improvements
1.83
3.98
over
their
counterparts.
Therefore,
strategy
provides
way
easy,
effective,
universal
suitable
various
insulated
or
electronic
devices.
Materials & Design,
Journal Year:
2024,
Volume and Issue:
244, P. 113107 - 113107
Published: June 20, 2024
Multi-functional
triply
periodic
minimal
surface
(TPMS)
structures
have
been
widely
studied
and
proven
to
significant
importance.
Most
studies
are
based
on
several
typical
TPMSs.
However,
some
research
suggests
that
the
hybrid
forms
of
TPMSs
can
exhibit
superior
mechanical
properties.
The
challenge
lies
in
unpredictability
TPMS
property.
In
this
study,
an
approach
is
proposed
for
precisely
identify
using
fully
connected
neural
network
(FCNN)
particle
swarm
optimization
(PSO)
algorithm.
A
design
space
four
hybridization
introduced
used
generate
over
8000
samples.
Stiffness
constants
obtained
homogenization
method
elastic
characterization.
proved
lack
common
cubic
symmetry
but
possess
wide
rotational
symmetry.
Indirect
stiffness
constant-based
way
exhibits
better
predictions
optimal
isotropy
than
direct
property
parameter-based
one.
successfully
identified
useful
structures:
quasi-elastic-isotropic
ones
a
ultra-stiff
one
∼
9
%
stronger
currently
strongest
TPMS.
offers
comprehensive
guidance
DL
technique.
The
human
mandible's
cancellous
bone,
which
is
characterized
by
its
unique
porosity
and
directional
sensitivity
to
external
forces,
crucial
for
sustaining
biting
stress.
Traditional
CAD
models
fail
fully
represent
bone's
anisotropic
structure
thus
depend
on
simple
isotropic
assumptions.
For
our
research,
we
use
the
latest
versions
of
nTopology
Creo
Parametric
software
make
biomimetic
Voronoi
lattice
that
accurately
reflect
complex
geometry
mechanical
properties
trabecular
bone.
bone
modeled
in
this
work
using
models.
porosities
range
from
70%
95%,
can
be
achieved
changing
pore
sizes
1.0
mm,
1.5
2.0
2.5
mm.
Finite
element
analysis
(FEA)
was
used
examine
displacements,
stresses,
strains
acting
dental
implants
with
a
buttress
thread,
abutment,
retaining
screw,
load
surface.
results
show
model
depicts
anatomy
jaw,
compared
standard
solid
block
ideal
size
2
taking
into
account
both
von
Mises
stress
distribution
over
implant,
screw
retention,
cortical
micromotions.
This
displayed
balanced
performance
successfully
matching
natural
characteristics.
Advanced
finite
improves
biomechanical
understanding
how
bones
interact
creating
more
accurate
biological
problems
dynamic
loading
situations.
makes
engineering
better.
