Rapid Prototyping Journal,
Journal Year:
2022,
Volume and Issue:
29(4), P. 850 - 866
Published: Nov. 9, 2022
Purpose
Two-level
support
with
Level
1
consisting
of
a
set
beams
and
2
tree-like
structure
is
an
efficient
for
extrusion-based
additive
manufacturing
(EBAM).
However,
the
literature
finding
slim
two-level
rare.
The
purpose
this
paper
to
design
lightweight
EBAM.
Design/methodology/approach
To
efficiently
solve
problem,
problem
split
into
two
subproblems:
support.
these
subproblems,
develops
three
metaheuristic
algorithms,
i.e.
genetic
algorithm
(GA),
programming
(GP)
particle
swarm
optimization
(PSO).
They
are
problem-independent
powerful
in
global
search.
For
first
subproblem,
considering
path
direction
critical
factor
influencing
layout
support,
solves
it
by
splitting
overhang
region
subregions,
determining
(vertical
or
horizontal)
each
subregion
using
GA.
second
hybrid
algorithms
proposed:
GP
manipulates
topologies
tree
while
PSO
optimizes
position
nodes
diameter
branches.
In
particular,
chromosome
encoded
as
single
virtual
make
easy
manipulate
Crossover
Mutation.
Furthermore,
local
strategy
geometric
search
designed
help
reach
better
result.
Findings
Simulation
results
show
that
proposed
method
preferred
over
existing
method:
saves
materials
up
26.34%,
6.62%
37.93%.
can
further
improve
algorithm,
saving
17.88%
materials.
Research
limitations/implications
approach
sliming
requires
overhanging
be
rectilinear
polygon
vertical
horizontal.
This
limitation
limits
material
savings
future
research,
extended
handle
arbitrary
region,
several
choices
directions.
Practical
implications
details
how
integrate
open-source
program
CuraEngine
4.13.0
presented.
helpful
designers
manufacturers
practice
on
their
own
3D
printers.
Originality/value
planning
distribution
supporting
points
will
thus
influence
shape
structure.
Different
from
approaches
use
directions,
volume
paths
overhangs.
Advances in Industrial and Manufacturing Engineering,
Journal Year:
2022,
Volume and Issue:
5, P. 100104 - 100104
Published: Nov. 1, 2022
In
the
material
extrusion
(MEX)
Additive
Manufacturing
(AM)
technology,
layer-by-layer
nature
of
fabricated
parts,
induces
specific
features
which
affect
their
quality
and
may
restrict
operating
performance.
Critical
indicators
with
distinct
technological
industrial
impact
are
surface
roughness,
dimensional
accuracy,
porosity,
among
others.
Their
achieving
scores
can
be
optimized
by
adjusting
3D
printing
process
parameters.
The
effect
six
(6)
control
parameters,
i.e.,
raster
deposition
angle,
infill
density,
nozzle
temperature,
bed
speed,
layer
thickness,
on
aforementioned
is
investigated
herein.
Optical
Microscopy,
Profilometry,
Micro
Χ-Ray
Computed
Tomography
were
employed
to
investigate
document
these
characteristics.
Experimental
data
processed
Robust
Design
Theory.
An
L25
Taguchi
orthogonal
array
(twenty-five
runs)
was
compiled,
for
parameters
five
levels
each
one
them.
predictive
quadratic
regression
models
then
validated
two
additional
confirmation
runs,
replicas
each.
For
first
time,
features,
as
well
geometrical
structural
characteristics
in
such
depth
(>500
GB
raw
experimental
produced
processed).
A
deep
insight
into
MEX
printed
parts
provided
allowing
parameters'
ranking
optimization.
Prediction
equations
functions
introduced
herein,
merit
market-driven
practice.
Virtual and Physical Prototyping,
Journal Year:
2023,
Volume and Issue:
19(1)
Published: Dec. 6, 2023
Poly(lactic
acid)-zinc
oxide
(PLA-ZnO)
nanocomposites
for
fused
filament
fabrication
have
potential
applications
in
the
biomedical
field
as
they
combine
bio-compatibility
of
PLA
with
antibacterial
properties
ZnO.
This
work
investigates
effects
masterbatch
mixing
strategy,
ZnO
concentration
and
surface
treatment
(silanisation)
on
printability
mechanical
performance
a
pre-requirement
to
wider
uptake
these
materials.
The
results
showed
that
decreased
filler
loading
increased.
However,
powder
enhanced
matrix-filler
interfacial
interactions
reduced
thermal
degradation
PLA.
ameliorated
tensile
filled
up
5
wt.%
Moreover,
despite
additional
treatment,
melt-mixing
prevented
degradative
effect
induced
by
solvent
used
mixing.
Future
will
focus
assessing
nanocomposite
FFF
parts.
Polymer Composites,
Journal Year:
2024,
Volume and Issue:
45(7), P. 6720 - 6732
Published: Feb. 14, 2024
Abstract
The
development
of
functional
compounds
for
extrusion
applied
in
the
additive
manufacturing
anthropomorphic
simulators
is
interesting,
as
it
guarantees
manufacture
a
3D
model
similar
to
patient.
These
find
applications
therapies
or
laboratory
tests
involving
x‐rays.
In
order
replicate
human
conditions
these
tests,
essential
create
materials
that
closely
match
properties
tissue,
including
smoothness
soft
tissues
and
hardness
bone
tissue.
This
study
developed
ceramic‐polymeric
composites,
where
tomography
intensity
each
mixture
was
measured
experimentally.
Combinations
acrylonitrile
butadiene
styrene
(ABS)
with
zirconium
oxide
basic
bismuth
carbonate
allowed
imitation
samples
containing
presented
results
exceeded
minimum
limit
reached
value
close
2000
Hounsfield
units
(HU)
12%
content.
ABS
hydroxyapatite
aluminum
can
imitate
tissues.
use
surfactant
facilitated
mixing
ceramic
filler
polymer.
Finally,
printing
physical
performed
using
dual
extruder
printer,
allowing
simultaneous
tissue
components.
Highlights
Material
mimicking
x‐ray
attenuation
Relation
between
porosity
unit.
Computed
on
printed
phantom.
Creating
from
Tomography
scan.
Double
two
simultaneously.
Physica Medica,
Journal Year:
2022,
Volume and Issue:
102, P. 96 - 102
Published: Sept. 23, 2022
The
aim
of
this
study
is
the
development
a
methodology
for
manufacturing
3D
printed
anthropomorphic
structures,
which
mimic
X-ray
properties
human
bone
tissue.A
mixing
approach
two
different
materials
proposed
fabrication
radiologically
equivalent
hip
an
abdominal
phantom.
employed
phantom
were
polylactic
acid
(PLA)
and
Stonefil,
while
custom-made
dual
motor
filament
extrusion
setup
software
associating
medical
images
directly
with
printing
process
employed.Three
phantoms
representing
utilizing
filaments
under
three
scenarios.
are
based
on
patient's
CT
scan
images.
Histograms
scans
calculated
compared
to
original
histogram,
demonstrating
that
constant
composition
30%
Stonefil
70%
PLA
0.0375
rate
per
voxel
(93.75%
flow
fulfilling
single
voxel)
cancellous
bone,
using
100%
0.04
(100%
flow)
cortical
results
in
realistic
anatomy
replication
bone.
Reproduced
HU
varied
between
700
800,
close
those
bone.The
demonstrated
it
possible
mix
real-time
during
obtain
radiographically
tissue
attenuation.
will
be
explored
CT-compatible
3D Printing in Medicine,
Journal Year:
2023,
Volume and Issue:
9(1)
Published: Sept. 11, 2023
Abstract
Preoperative
planning
of
comminuted
fracture
repair
using
3D
printed
anatomical
models
is
enabling
surgeons
to
visualize
and
simulate
the
reduction
processes
before
surgery.
However,
preparation
such
can
be
challenging
due
complexity
certain
fractures,
particularly
in
preserving
fine
detail
bone
fragments,
maintaining
positioning
displaced
accurate
multiple
bones.
This
study
described
several
key
technical
considerations
for
preparing
preoperative
planning.
An
optimized
segmentation
protocol
was
developed
that
preserves
resulting
a
more
representation
fracture.
Additionally,
struts
were
manually
added
digital
model
maintain
fragments
after
fabrication,
reducing
likelihood
errors
during
printing
or
misrepresentation
fragment
positioning.
Magnets
also
used
enable
separation
visualization
bones,
making
it
easier
components
otherwise
obscured
by
anatomy.
Finally,
infill
non-target
structures
adjusted
minimize
print
time
material
wastage.
These
optimizations
improved
accuracy
efficiency
planning,
improving
opportunities
better
plan
surgical
treatment
advance,
errors,
with
goal
outcomes.