Civil-comp conferences,
Год журнала:
2024,
Номер
9, С. 1 - 11
Опубликована: Авг. 26, 2024
The
laser
powder
bed
fusion
process
enables
the
manufacturing
of
intricate
shapes,
including
lattice
structure
metamaterials.These
structures
consist
repeating
unit
cells,
formed
by
nodes
connected
struts
within
space.In
this
study,
various
cell
designs
were
fabricated
in
Ti6Al4V,
maintaining
consistent
relative
density,
and
subsequently
tested
under
uniaxial
compression
loading.The
results
highlight
differences
mechanical
responses
failure
mechanisms
between
designs.The
findings
reveal
that
face-centered
cubic
exhibits
better
properties,
yield
stress,
elastic
modulus,
peak
absorbed
energy,
comparison
to
body-centered
structures.This
study
provides
valuable
insights
into
optimizing
design
for
enhanced
performance
LPBF-fabricated
Ti6Al4V
components.
Advanced Functional Materials,
Год журнала:
2025,
Номер
unknown
Опубликована: Фев. 26, 2025
Abstract
Auxetic
metamaterials
refer
to
materials
and
structures
with
extraordinary
deformation,
i.e.,
transverse
expansion
(contraction)
under
uniaxial
tension
(compression).
In
recent
decades,
a
very
wide
range
of
innovative
functional
performance
has
been
discovered
stemming
from
this
behavior.
This
desirable
exhibition
adaptivity,
programmability,
functionality
provides
great
potential
in
soft
intelligent
systems.
However,
thus
far,
the
mainstream
research
on
auxetic
focused
subjective
design,
monotonic
mechanical
properties,
passive
tunability.
review
thorough
overview
classical
properties
applications,
primary
objective
proposing
new
roadmap
auxetics
for
advances
interdisciplinary
field.
The
fundamental
works
are
categorized
different
configurations
mechanisms.
particular,
integration
shape
morphing,
actuation,
sensing,
multiphysical
response,
inverse
design
is
reviewed
detail.
To
accelerate
development
smart
structural
systems,
applications
generalized
into
robotics
(outside
body),
human–machine
interaction
(surrounding
healthcare
devices
(inside
body).
Finally,
several
significant
topics
emphasized
theory,
material
choice,
manufacturing
technique,
applications.
Materials Horizons,
Год журнала:
2024,
Номер
11(11), С. 2615 - 2627
Опубликована: Янв. 1, 2024
We
introduce
a
novel
deep
learning-based
inverse
design
framework
with
data
augmentation
for
chiral
mechanical
metamaterials
Bézier
curve-shaped
bi-material
rib
realizing
wide
range
of
negative
thermal
expansion
and
Poisson's
ratio.
