Recycling,
Journal Year:
2024,
Volume and Issue:
10(1), P. 1 - 1
Published: Dec. 26, 2024
Polymer
recycling
is
an
essential
and
crucial
topic
in
our
sustainability-driven
society.
The
depletion
of
oil
the
increasing
interest
biomass
conversion
clearly
stimulate
search
for
alternative
carbon
sources.
On
other
hand,
polymeric
products
(plastic,
rubber
etc.)
are
ubiquitous
integral
part
life.
Recycling
these
thus
paramount
importance,
perhaps
crucially,
from
environmental
point
view.
In
this
work,
we
will
focus
on
most
common
commodities,
with
important
being
(in
terms
production
volume)
thermoplastics,
rubbers
thermosets.
A
consequence
choice
that
materials
as
well
chemical
biochemical
methods
be
discussed.
New
advances
corresponding
technologies
presented
critically
evaluated.
Finally,
basis
literature
review,
identify
current
trends
possible
future
developments.
Macromolecular Rapid Communications,
Journal Year:
2024,
Volume and Issue:
45(17)
Published: May 31, 2024
Abstract
This
review
aims
to
present
the
different
approaches
lessen
environmental
impact
of
extrusion‐based
additive
manufacturing
(MEX)
process
thermoplastic‐based
resins
and
protect
ecosystem.
The
benefits
drawbacks
each
alternative,
including
use
biomaterials
or
recycled
materials
as
feedstock,
energy
efficiency,
polluting
emissions
reduction,
have
been
examined.
First,
technological
option
using
a
pellet‐fed
printer
was
compared
filament‐fed
printer.
Then,
common
biopolymers
utilized
in
MEX
applications
are
discussed,
along
with
methods
for
improving
mechanical
properties
associated
printed
products.
introduction
natural
fillers
thermoplastic
biocomposite
filaments
proposed
improve
specific
performance
items,
highlighting
numerous
challenges
related
their
extrusion.
Various
polymers
derived
from
recycling
presented
feeding
raw
printers
reduce
waste
accumulation,
showing
inferior
qualities
resulting
goods
when
products
made
virgin
materials.
Finally,
consumption
released
into
atmosphere
during
printing
potential
both
aspects
be
controlled
through
material
selection
operating
conditions.
Engineering Technology & Applied Science Research,
Journal Year:
2025,
Volume and Issue:
15(1), P. 19898 - 19902
Published: Feb. 2, 2025
The
present
study
investigates
the
optimization
of
FDM
parameters,
that
is,
height
deposited
layer
in
one
pass
(Lh)
and
filling
percentage
(Id),
for
manufacture
compression
specimens
from
recycled
ASA
(rASA)
context
transitioning
to
circular
economy.
Anycubic
4Max
Pro
2.0
3D
printer
was
utilized,
where
were
additively
manufactured
rASA
45
using
following
variable
parameters:
Lh
=
0.10
mm,
0.15
0.20
Id
50%,
75%,
100%.
All
tested
on
Barrus
White
20
kN
universal
testing
machine.
It
found
Compressive
strength
(Cs)
is
influenced
by
two
considered
parameters
Fused
Deposition
Modeling
(FDM),
Id,
but
overwhelmingly
influencing
parameter
Id.
According
results
rASA,
mm
Polymers,
Journal Year:
2024,
Volume and Issue:
16(23), P. 3268 - 3268
Published: Nov. 24, 2024
Increasing
environmental
concerns
and
the
need
for
sustainable
materials
have
driven
a
focus
towards
utilization
of
recycled
polylactic
acid
(PLA)
in
additive
manufacturing
as
PLA
offers
advantages
over
other
thermoplastics,
including
biodegradability,
ease
processing,
lower
impact
during
production.
This
study
explores
optimization
mechanical
properties
parts
through
combination
experimental
machine
learning
approaches.
A
series
experiments
were
conducted
to
investigate
various
processing
parameters,
such
layer
thickness
infill
density,
well
annealing
conditions,
on
parts.
Machine
algorithms
proven
possibility
predict
tensile
behavior
with
an
average
error
6.059%.
The
results
demonstrate
that
specific
combinations
parameters
post-treatment
differently
improve
(with
7.31%
ultimate
strength
(UTS),
0.28%
Young's
modulus,
3.68%
elongation)
crystallinity
22.33%)
according
XRD
analysis,
making
it
viable
alternative
virgin
applications
packaging
solutions,
biodegradable
containers,
clamshell
packaging,
protective
inserts.
optimized
exhibited
levels
comparable
those
their
counterparts,
highlighting
potential
reducing
saving
costs.
For
both
as-built
annealed
samples,
optimal
settings
achieving
high
composite
desirability
involved
0.2
mm
thickness,
75%
samples
100%
samples.
provides
comprehensive
framework
optimizing
manufacturing,
contributing
advancement
material
engineering
circular
economy.
Sustainability,
Journal Year:
2025,
Volume and Issue:
17(6), P. 2484 - 2484
Published: March 12, 2025
The
linear
“take–make–dispose”
model
of
plastic
consumption
has
led
to
significant
environmental
challenges
and
unplanned
waste
legacies,
emphasising
the
need
for
more
sustainable
recycling
practices.
This
study
explored
integration
post-consumer
recycled
polylactic
acid
(rPLA)
into
3D
printing
filaments
as
a
step
towards
manufacturing.
Using
100%
virgin
PLA
(vPLA)
baseline,
were
produced
with
rPLA-to-vPLA
ratios
0%,
25%,
50%,
75%,
evaluated
surface
roughness,
tensile
strength,
flexural
properties,
hardness.
results
revealed
that
increasing
rPLA
content
negatively
affects
mechanical
properties
quality.
Surface
roughness
increased
from
7.06
µm
pure
vPLA
10.50
rPLA,
whilst
strengths
decreased
by
48.4%
49%,
respectively,
compared
vPLA.
Hardness
also
declined,
showing
7.5%
reduction
relative
Despite
these
reductions,
blends
up
50%
retained
over
90%
performance
vPLA,
demonstrating
viable
compromise
between
sustainability.
Morphological
analysis
highlighted
poor
interlayer
adhesion
void
formation
primary
causes
degradation
in
higher
blends.
challenges,
this
demonstrated
rPLA-vPLA
can
extend
life
cycle
promote
manufacturing
By
addressing
polymer
research
supports
materials
printing,
contributing
circular
economy
goals
recycling,
resource
efficiency,
production
outcomes.
Applied Sciences,
Journal Year:
2025,
Volume and Issue:
15(7), P. 3719 - 3719
Published: March 28, 2025
The
integration
of
3D
printing
with
smart
infrastructure
presents
a
transformative
opportunity
in
urban
planning,
construction,
and
engineering,
enhancing
efficiency,
flexibility,
sustainability.
By
leveraging
additive
manufacturing
alongside
digitalization,
artificial
intelligence
(AI),
the
Internet
Things
(IoT),
this
technology
enables
creation
customized,
lightweight,
sensor-embedded
structures.
This
work
analyzes
both
advantages
challenges
applying
infrastructure,
focusing
on
material
optimization,
rapid
prototyping,
automated
fabrication,
which
significantly
reduce
construction
time,
labor
costs,
waste.
Applications
such
as
3D-printed
bridges,
modular
housing,
IoT-integrated
furniture
exhibit
its
potential
contributing
towards
resilient
resource-efficient
cities.
However,
despite
these
benefits,
significant
hinder
large-scale
adoption.
Issues
scalability,
particularly
fabrication
large
load-bearing
structures,
remain
unresolved,
requiring
advancements
high-speed
techniques,
reinforcement
strategies,
hybrid
methods.
Furthermore,
regulatory
uncertainties
absence
standardized
guidelines
create
barriers
to
implementation.
lack
comprehensive
building
codes,
certification
protocols,
quality
assurance
measures
for
structures
limits
their
widespread
acceptance
mainstream
construction.
Overcoming
limitations
necessitates
research
into
AI-driven
process
multi-material
printing,
international
standardization
efforts.
assisting
overcoming
challenges,
has
redefine
development,
making
more
adaptive,
cost-effective,
environmentally
sustainable.
provides
critical
evaluation
current
capabilities
achieving
full-scale
implementation
compliance.
Engineering Technology & Applied Science Research,
Journal Year:
2024,
Volume and Issue:
14(6), P. 18774 - 18779
Published: Dec. 2, 2024
The
current
paper
presents
the
results
of
a
research
on
optimization
Fused
Deposition
Modeling
(FDM)
parameters,
namely
height
deposited
layer
in
one
pass,
Lh,
and
filling
percentage,
Id,
with
purpose
manufacturing
compression
specimens
from
recycled
Polyethylene
Terephthalate
Glycol
(rPETG),
thus,
aiming
transition
to
circular
economy.
A
total
45
were
manufactured
rPETG
Anycubic
4Max
Pro
3D
printer
variable
parameters
Lh
=
0.10
mm,
0.15
0.20
Id
50%,
75%,
100%.
All
tested
Barrus
White
20
kN
universal
testing
machine.
considered
influence
Compressive
Strength
(CS)
specimens,
being
parameter
overwhelming
influence.