Advanced Materials,
Год журнала:
2023,
Номер
36(6)
Опубликована: Окт. 30, 2023
Abstract
Practical
applications
of
mechanical
metamaterials
often
involve
solving
inverse
problems
aimed
at
finding
microarchitectures
that
give
rise
to
certain
properties.
The
limited
resolution
additive
manufacturing
techniques
requires
such
for
specific
specimen
sizes.
Moreover,
the
candidate
should
be
resistant
fatigue
and
fracture.
Such
a
multi‐objective
design
problem
is
formidably
difficult
solve
but
its
solution
key
real‐world
metamaterials.
Here,
modular
approach
titled
“Deep‐DRAM”
combines
four
decoupled
models
proposed,
including
two
deep
learning
(DL)
models,
generative
model
based
on
conditional
variational
autoencoders,
direct
finite
element
(FE)
simulations.
Deep‐DRAM
integrates
these
into
framework
capable
many
solutions
posed
random‐network
unit
cells.
Using
an
extensive
set
simulations
as
well
experiments
performed
3D
printed
specimens,
it
demonstrate
that:
1)
predictions
DL
are
in
agreement
with
FE
experimental
observations,
2)
enlarged
envelope
achievable
elastic
properties
(e.g.,
rare
combinations
double
auxeticity
high
stiffness)
realized
using
proposed
approach,
3)
can
provide
considered
problem.
Applied Sciences,
Год журнала:
2020,
Номер
10(18), С. 6374 - 6374
Опубликована: Сен. 13, 2020
Cellular
structures
consist
of
foams,
honeycombs,
and
lattices.
Lattices
have
many
outstanding
properties
over
foams
such
as
lightweight,
high
strength,
absorbing
energy,
reducing
vibration,
which
has
been
extensively
studied
concerned.
Because
excellent
properties,
lattice
widely
used
in
aviation,
bio-engineering,
automation,
other
industrial
fields.
In
particular,
the
application
additive
manufacturing
(AM)
technology
for
fabricating
pushed
development
designing
to
a
new
stage
made
breakthrough
progress.
By
searching
large
number
research
literature,
primary
work
this
paper
reviews
structures.
First,
based
on
introductions
about
lattices
definition
classification
are
concluded.
Lattice
divided
into
two
general
categories
paper:
uniform
non-uniform.
Second,
performance
introduced
detail.
addition,
methods
structures,
i.e.,
traditional
processing
manufacturing,
evaluated.
Third,
main
concern
during
design
is
develop
highly
functional
unit
cells,
summarized
three
different
methods,
geometric
cell
based,
mathematical
algorithm
generated,
topology
optimization.
Forth,
non-uniform
reviewed
from
aspects
gradient
These
include
Voronoi-tessellation,
size
method
(SGM),
matching
scaling
(SMS),
homogenization,
optimization,
construction
(HOC).
Finally,
future
prospected
aspects.
Advanced Materials,
Год журнала:
2024,
Номер
36(31)
Опубликована: Апрель 5, 2024
Abstract
4D
(bio‐)printing
endows
3D
printed
(bio‐)materials
with
multiple
functionalities
and
dynamic
properties.
materials
have
been
recently
used
in
biomedical
engineering
for
the
design
fabrication
of
devices,
such
as
stents,
occluders,
microneedles,
smart
3D‐cell
engineered
microenvironments,
drug
delivery
systems,
wound
closures,
implantable
medical
devices.
However,
success
printing
relies
on
rational
objects,
selection
materials,
availability
appropriate
types
external
(multi‐)stimuli.
Here,
this
work
first
highlights
different
stimuli,
strategies
(bio‐)printing.
Then,
it
presents
a
critical
review
applications
discusses
future
directions
research
exciting
area,
including
vivo
tissue
regeneration
studies,
implementation
reversible
shape
memory
behaviors,
creation
fast
shape‐transformation
responses,
ability
to
operate
at
microscale,
untethered
activation
control,
application
(machine
learning‐based)
modeling
approaches
predict
structure–property
design–shape
transformation
relationships
(bio)printed
constructs.
ACS Applied Materials & Interfaces,
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 2, 2025
Current
limitations
in
implant
design
often
lead
to
trade-offs
between
minimally
invasive
surgery
and
achieving
the
desired
post-implantation
functionality.
Here,
we
present
an
artificial
intelligence
inverse
paradigm
for
creating
deployable
implants
as
planar
tubular
thermal
mechanical
metamaterials
(thermo-metamaterials).
These
thermo-metamaterial
exhibit
tunable
properties
volume
change
response
temperature
changes,
enabling
personalized
surgery.
We
begin
by
generating
a
large
database
of
corrugated
thermo-metamaterials
with
various
cell
structures
bending
stiffnesses.
An
model
is
subsequently
developed
integrating
evolutionary
algorithm
neural
network.
This
allows
automatic
determination
optimal
microstructure
performance,i.e.,
target
stiffness.
validate
this
approach
designing
patient-specific
spinal
fusion
tracheal
stents.
The
results
demonstrate
that
can
achieve
over
200%
increase
or
cross-sectional
area
their
fully
deployed
states.
Finally,
propose
broader
vision
clinically
informed
process
prioritizes
biocompatibility,
feasibility,
precision
simultaneously
development
high-performing
viable
implants.
feasibility
proposed
demonstrated
using
fuzzy
analytic
hierarchy
customize
based
on
relevant
factors.
Bioactive Materials,
Год журнала:
2020,
Номер
6(5), С. 1242 - 1254
Опубликована: Ноя. 7, 2020
Spatial
dimension
of
pores
and
interconnection
in
macroporous
scaffolds
is
particular
importance
facilitating
endogenous
cell
migration
bone
tissue
ingrowth.
However,
it
still
a
challenge
to
widely
tune
structure
parameters
by
conventional
methods
because
inevitable
pore
geometrical
deformation
poor
interconnectivity.
Here,
the
long-term
vivo
biological
performances
nonstoichiometric
bioceramic
with
different
dimensions
were
assessed
critical-size
femoral
defect
model.
The
6%
Mg-substituted
wollastonite
(CSi-Mg6)
powders
prepared
via
wet-chemical
precipitation
elaborately
printed
ceramic
stereolithography,
displaying
designed
constant
strut
tailorable
height
(200,
320,
450,
600
μm),
investigated
thoroughly
regeneration
process.
Together
detailed
structural
stability
mechanical
properties
collaboratively
outlined.
Both
μCT
histological
analyses
indicated
that
ingrowth
was
retarded
200
μm
whole
stage
(2–16
weeks)
but
320
showed
appreciable
center
porous
constructs
at
6–10
weeks
matured
uniformly
invaded
networks
16
weeks.
Interestingly,
neo-tissue
facilitated
450
after
2
higher
extent
remodeling
later
stage.
These
new
findings
provide
critical
information
on
how
engineered
architecture
impact
vivo.
Simultaneously,
this
study
shows
important
implications
for
optimizing
design
advanced
additive
manufacture
technique
match
clinical
translation
high
performance.
Additive manufacturing,
Год журнала:
2020,
Номер
36, С. 101433 - 101433
Опубликована: Июль 8, 2020
Additive
manufacturing
technologies
in
general
and
laser
powder
bed
fusion
(L-PBF)
particular
have
been
on
the
rise
different
applications,
including
biomedical
implants.
The
effects
of
various
l-PBF
process
parameters
microstructure
properties
Ti6Al4V
lattice
structures
studied
before.
However,
relationship
between
modes
scanning
resulting
microstructure,
internal
imperfections,
surface
morphology
is
still
underexplored.
In
this
study,
aforementioned
their
effect
compressive
mechanical
fatigue
behaviour
titanium
for
both
continuous
pulsed
modes.
Moreover,
influence
combinations
post-processing
treatments,
such
as
hot
isostatic
pressing
(HIP),
sandblasting,
chemical
etching,
quasi-static
endurance
materials
were
investigated.
It
was
found
that
strategy
results
fewer
imperfections
higher
resistance,
while
showed
a
more
homogenous
microstructure;
likely
leading
to
isotropic
behaviour.
Furthermore,
mode
larger
prior
β
grains
preferentially
oriented
building
direction,
specimens
exhibited
finer
equiaxed
with
no
preferred
orientations.
highest
level
life
obtained
by
using
an
optimized
combination
HIP,
etching.
