Polymers,
Journal Year:
2024,
Volume and Issue:
16(11), P. 1607 - 1607
Published: June 6, 2024
In
this
study,
the
authors
performed
a
strength
analysis
of
seven
groups
commercially
available
materials
based
on
SLS
incremental
technology.
Test
samples
were
made
with
Original
PRUSA
SL1S
printers,
10
each
type
from
7
resins
selected
for
testing.
The
tests
carried
out
an
MTS
Bionix
machine
in
static
tensile
test,
during
which
basic
mechanical
properties
determined.
This
is
also
preliminary
study
to
determine
material
constants
Johnson-Cook
model.
then
numerical
simulations
mirror
experimental
order
tune
rheological
addition,
fracture
criterion
was
determined
hybrid
FEM/SPH
method.
allowed
expansion
libraries
currently
used
simulations,
as
well
sensitivity
materials’
models.
subsequent
studies,
nature
destruction,
surfaces
using
scanning
electron
microscope
(SEM).
final
biocompatibility
test
assess
biological
material.
conducted
research
it
possible
3D
expand
models
computational
environment
(with
error
rate
less
than
5%),
observe
cracks
formed
and
context
predicting
use
these
biomedical
applications.
Machines,
Journal Year:
2025,
Volume and Issue:
13(1), P. 62 - 62
Published: Jan. 16, 2025
This
bibliographic
analysis
explores
the
evolving
landscape
of
additive
manufacturing
(AM)
in
context
Industry
4.0
and
emerging
paradigms
5.0.
research
critically
examines
key
literature
scholarly
works
to
clarify
evolution,
challenges,
opportunities
presented
by
integrating
AM
technologies
with
digital
transformation
advanced
industrial
practices.
The
exploration
begins
tracing
foundational
concepts
4.0,
emphasizing
role
cyber–physical
systems,
data
analytics,
automation
reshaping
ecosystems.
It
then
moves
developments
5.0,
focusing
on
human-centric
approaches,
collaborative
robotics,
sustainable
strategies
that
extend
beyond
automation.
impact
across
various
sectors,
from
aerospace
automotive
industries
healthcare
consumer
goods,
is
central
this
analysis.
article
synthesizes
empirical
studies,
case
analyses,
theoretical
frameworks
discern
synergies,
prospects
into
Through
journey,
readers
gain
insights
transformative
potential
as
a
catalyst
for
innovation,
agility,
sustainability
age.
findings
underscore
need
interdisciplinary
collaborations,
policy
frameworks,
technological
advancements
harness
AM’s
full
within
Materials,
Journal Year:
2024,
Volume and Issue:
17(15), P. 3673 - 3673
Published: July 25, 2024
Additive
Manufacturing
(AM)
is
a
transformative
manufacturing
technology
enabling
direct
fabrication
of
complex
parts
layer-by-layer
from
3D
modeling
data.
Among
AM
applications,
the
Functionally
Graded
Materials
(FGMs)
has
significant
importance
due
to
potential
enhance
component
performance
across
several
industries.
FGMs
are
manufactured
with
gradient
composition
transition
between
dissimilar
materials,
design
new
materials
location-dependent
mechanical
and
physical
properties.
This
study
presents
comprehensive
review
published
literature
pertaining
implementation
Machine
Learning
(ML)
techniques
in
AM,
an
emphasis
on
ML-based
methods
for
optimizing
processes.
Through
extensive
survey
literature,
this
article
explores
role
ML
addressing
inherent
challenges
encompasses
parameter
optimization,
defect
detection,
real-time
monitoring.
The
also
provides
discussion
future
research
directions
employing
FGMs.
Journal of Micromanufacturing,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Aug. 12, 2024
Cutting-edge
materials
have
transformed
the
fabrication
of
medical
devices
and
implants.
However,
processing
used
to
create
these
impacts
their
mechanical,
physical,
biological
characteristics,
preventing
effective
integration.
This
study
is
intended
provide
a
detailed
analysis
healthcare
techniques,
stressing
healthcare-specific
material
requirements,
such
as
biocompatibility,
mechanical
strength,
corrosion
resistance,
stabilizability,
bioactivity,
followed
by
classifying
methods
“ordinary”
“edge-cutting”
methods.
The
consequences
each
on
material,
well
benefits,
drawbacks,
recent
developments
technique,
are
also
aimed
be
concluded.
explore
how
process
factors
affect
product
qualities.
articles
collected
from
Scopus
Web
Science
databases
using
search
strings
“Advance
Material,”
“Material
Processing,”
“Healthcare,”
“HealthCare
Application.”
assessment
selected
literature
has
been
done
in
accordance
with
objectives.
emphasizes
quality
assurance
regulatory
compliance
need
for
assurance,
characterization,
testing
Processes
polishing,
etching,
coatings
improve
biocompatibility
reduce
infection
risk,
according
findings.
It
was
concluded
that
cutting-edge
additive
manufacturing
(3D
printing)
electrospinning
exact
control
over
composition,
structure,
porosity,
making
them
ideal
many
clinical
applications.
Journal of Manufacturing Processes,
Journal Year:
2024,
Volume and Issue:
112, P. 45 - 59
Published: Jan. 18, 2024
Cold
spray
(CS)
has
proven
to
be
a
versatile
deposition
method
with
considerable
capabilities
in
multiple
fields
including
coating,
additive
manufacturing,
and
repair.
Despite
the
significant
progress
new
applications
of
cold
spray,
there
are
still
several
challenges
associated
controlling
shape
deposits
that
consequently
affect
their
range
application
functionality.
In
this
study,
we
discuss
demonstrate
CS
connect
adjoining
edges
along
repair
local
damages,
focusing
on
deposit
prediction.
To
do
so,
start
by
proposing
numerical
model
can
predict
geometry,
providing
specific
input
parameters
for
given
set
particle
substrate
properties,
geometry
nozzle
position.
Then
employ
design
toolpath
required
filling
artificial
damages
and/or
welding
grooves
controlled
geometries.
Through
comparing
predictions
experimentally
obtained
depositions,
propose
some
corrections
model.
both
cases,
experimental
results
show
great
resemblance
predicted
profile
after
applying
corrective
measures,
height.
