Scientific Reports,
Год журнала:
2024,
Номер
14(1)
Опубликована: Дек. 28, 2024
This
study
investigates
the
production
of
graphene-enhanced
polyethylene
terephthalate
glycol
(G-PETG)
components
using
fused
deposition
modeling
(FDM)
and
evaluates
their
mechanical
properties,
contributing
to
advancement
additive
manufacturing.
Trials
demonstrated
notable
improvements
in
performance,
with
optimal
printing
parameters
identified
Spice
Logic
Analytical
Hierarchy
Process
(AHP).
The
effectiveness
this
methodology
is
further
compared
Fuzzy
Analytic
(FAHP)
combined
Technique
for
Order
Preference
by
Similarity
Ideal
Solution
(TOPSIS).
revealed
significant
enhancements,
ultimate
tensile
strength
(UTS)
reaching
69.1
MPa,
an
average
Young's
modulus
735.6
compressive
(UCS)
85.3
MPa.
These
findings
provide
valuable
insights
into
optimizing
techniques
improving
performance
G-PETG
components,
advancing
material
applications
various
industries.
Applied Chemical Engineering,
Год журнала:
2024,
Номер
7(4)
Опубликована: Дек. 24, 2024
Considering
the
high
energy
and
material
consumption,
environmental
impact
of
additive
manufacturing
through
FDM
has
faced
significant
criticism.
For
a
more
sustainable
production
process,
industries
require
efficient
optimization
process
to
lower
while
retaining
efficiency.
This
study
utilizes
advanced
multi-criteria
decision-making
(MCDM)
methodologies,
specifically
fuzzy
analytic
hierarchy
(AHP)
technique
for
order
preference
by
similarity
ideal
solution
(TOPSIS),
evaluate
enhance
performance
FDM.
Focusing
on
standard
thermoplastic
materials
(e.g.,
PLA
PETG)
applications
such
as
functional
prototyping,
we
optimize
key
parameters
layer
height,
print
speed,
infill
density
achieve
reductions
in
usage
(20%)
waste
(15%)
compared
baseline
practices.
These
findings
not
only
highlight
pathway
toward
greener
processes
but
also
lay
groundwork
future
research
frameworks,
applicable
other
methods
materials.
Scientific Reports,
Год журнала:
2024,
Номер
14(1)
Опубликована: Дек. 28, 2024
This
study
investigates
the
production
of
graphene-enhanced
polyethylene
terephthalate
glycol
(G-PETG)
components
using
fused
deposition
modeling
(FDM)
and
evaluates
their
mechanical
properties,
contributing
to
advancement
additive
manufacturing.
Trials
demonstrated
notable
improvements
in
performance,
with
optimal
printing
parameters
identified
Spice
Logic
Analytical
Hierarchy
Process
(AHP).
The
effectiveness
this
methodology
is
further
compared
Fuzzy
Analytic
(FAHP)
combined
Technique
for
Order
Preference
by
Similarity
Ideal
Solution
(TOPSIS).
revealed
significant
enhancements,
ultimate
tensile
strength
(UTS)
reaching
69.1
MPa,
an
average
Young's
modulus
735.6
compressive
(UCS)
85.3
MPa.
These
findings
provide
valuable
insights
into
optimizing
techniques
improving
performance
G-PETG
components,
advancing
material
applications
various
industries.
