Direct Ink Writing of 3D Scaffold Polymeric-Bioceramic from Sand Lobster Shells (Panulirus homarus) Waste as a Sustainable Resouce for Enhancing In Vitro Bioactivity
Bioprinting,
Год журнала:
2025,
Номер
unknown, С. e00404 - e00404
Опубликована: Март 1, 2025
Язык: Английский
A Systematic Review of Innovative Advances in Multi-Material Additive Manufacturing: Implications for Architecture and Construction
Materials,
Год журнала:
2025,
Номер
18(8), С. 1820 - 1820
Опубликована: Апрель 16, 2025
Additive
manufacturing
(AM)
has
made
rapid
progress
in
most
industries;
however,
the
construction
sector
lags
behind,
despite
substantial
potential
for
growth.
This
study
aims
to
evaluate
recent
innovations
AM,
with
a
focus
on
multi-material
additive
(MMAM),
identify
transferable
knowledge
and
technologies
industry.
A
systematic
Boolean
search
reviewing
Scopus
Web
of
Science
databases
identified
33
relevant
articles
out
368
papers
published
English
over
last
five
years.
Material
properties,
processes,
design
approaches
were
collectively
as
key
interdisciplinary
factors;
these
included
thermal
mechanical
property
gradation
techniques
from
materials
science,
multi-scale
optimization
engineering,
real-time
monitoring
systems
manufacturing,
which
are
each
architectural
applications.
Bibliometric
analysis
demonstrated
growing
research
trajectories
AI-driven
methods
functionally
graded
that
could
bridge
implementation
gap
construction.
article
identifies
significant
gaps
scaling
laboratory-proven
MMAM
applications,
including
material
interface
challenges,
environmental
durability
concerns,
absence
tools
specific
building-scale
components.
We
provide
critical
roadmap
researchers
prioritizes
development
integrated
frameworks;
multiscale
modeling
techniques;
novel
combinations
suitable
environments;
standardized
protocol
bases
Equipment
Design,
Process
Control,
Design
Integration,
Digital
Tools,
Materials
Research
evaluating
long-term
performance
safety
building
Язык: Английский
Microstructural Heterogeneity and Anisotropic Mechanical Propertiers of Titanium alloys manufactured by Wire Arc Additive Manufacturing: A review
Journal of Materials Research and Technology,
Год журнала:
2025,
Номер
unknown
Опубликована: Май 1, 2025
Язык: Английский
Evaluation of 3D Printing of Cereal–Legume Starch-Based Gels Formulated with Red Adzuki Bean and Germinated Brown Rice Flour
Foods,
Год журнала:
2025,
Номер
14(10), С. 1791 - 1791
Опубликована: Май 18, 2025
Three-dimensional
(3D)
food
printing
(3DFP)
is
an
emerging
technology
that
enables
the
creation
of
personalized
and
functional
foods
by
precisely
controlling
nutritional
content
shape.
This
study
investigated
3D
printability
rheological
behavior
cereal–legume
starch-based
gels
formulated
with
germinated
brown
rice
(GBR)
red
adzuki
bean
(RAB)
flours,
supplemented
xanthan
guar
gums
as
additives.
The
physicochemical
structural
properties
were
characterized
through
FT-IR,
rheology,
texture
analysis,
SEM,
sensory
evaluation.
In
addition,
fidelity,
behavior,
color
attributes,
textural
properties,
microstructure,
scoring
printed
products
evaluated.
results
indicated
exhibited
pseudoplastic
RABF/GBRF
ratio
1:2
(RG1:2)
formulation
showing
optimal
(ΔE*
=
0.60
±
0.86)
2:1
(RG2:1)
demonstrating
superior
fidelity
stability
(printing
accuracy
99.37
0.39%).
gels’
mechanical
such
hardness
chewiness,
significantly
influenced
RABF
GBRF
ratios,
RG2:1
exhibiting
highest
(1066.74
102.09)
RG1:2
best
springiness
(0.64
0.10).
evaluation
ratios
1:1
(RG1:1)
had
relatively
high
overall
acceptance
scores.
These
findings
indicate
specific
improve
gels,
enhancing
their
suitability
for
applications.
provides
valuable
insights
into
development
using
3DFP
technology.
Язык: Английский
Predicting Strut Geometry of PCL and DMSO2 Biocomposites from Nozzle to Deposition in Bio-Scaffold 3D Printing
Materials,
Год журнала:
2025,
Номер
18(10), С. 2380 - 2380
Опубликована: Май 20, 2025
The
field
of
tissue
engineering
increasingly
demands
accurate
predictive
models
to
optimize
the
3D
printing
process
bio-scaffolds.
This
study
presents
a
unified
numerical
model
that
predicts
extrusion
velocity
and
strut
diameter
based
on
conditions
material
properties
polycaprolactone
(PCL)
dimethyl
sulfone
(DMSO2)
composites.
was
simulated
using
Navier–Stokes
equations,
while
calculated
via
surface
energy
model.
For
PCL,
showed
temperature
coefficient
23.3%/°C
pressure
19.1%
per
100
kPa;
exhibited
21.6%/°C
16.6%
kPa.
When
blended
with
DMSO2,
lower
viscosity
higher
resulted
in
increased
diameter.
proposed
achieved
high
accuracy,
determination
(R²)
values
exceeding
0.95.
These
results
demonstrate
model’s
potential
parameters,
guide
biomaterial
selection,
predict
pore
characteristics,
ultimately
supporting
rational
design
scaffolds.
Язык: Английский