Engineering Technology & Applied Science Research,
Год журнала:
2024,
Номер
14(6), С. 18774 - 18779
Опубликована: Дек. 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.
Clean Technologies and Recycling,
Год журнала:
2025,
Номер
5(1), С. 1 - 21
Опубликована: Янв. 1, 2025
<p>This
study
aimed
to
explore
consumer
perceptions
and
acceptance
of
potential
3D-printed
accessories
made
from
used
face
masks.
Based
on
the
principles
circular
economy,
a
proposed
conceptual
framework
was
developed
determine
role
experiential
value
in
relationship
between
product
design
perception
perceived
purchase
intention.
Data
were
collected
through
web-based
survey
questionnaire,
employing
nationwide
convenience
sample
consumers
via
crowdsourcing
marketplaces.
Among
899
respondents,
470
female,
429
male,
with
an
average
age
38.
A
structural
equation
model
test
hypotheses
framework.
The
findings
indicated
that
experience
plays
crucial
significantly
enhancing
intentions
for
Participants
identified
jewelry,
electronic
cases,
home
decor
items
(e.g.,
picture
frames)
as
top
three
preferred
categories
3D
printing.
Usability,
social
value,
environmental
concerns
emerged
most
influential
components
driving
accessories.
Additionally,
confirmed
mediating
These
provide
opportunities
rethink,
redesign,
reimagine
environmentally
responsible,
socially
inclusive,
economically
viable
practices.
development
new
printing
filaments
using
recycled
plastic-based
materials
further
aligned
Finally,
this
offers
critical
bridge
academia
industry,
paving
way
sustainable
future
innovation
manufacturing.</p>
Applied Sciences,
Год журнала:
2025,
Номер
15(6), С. 2962 - 2962
Опубликована: Март 10, 2025
Additive
manufacturing
must
be
highlighted
as
an
innovative
technology
with
the
capacity
to
produce
objects
complex
and
customized
geometries
using
a
diverse
range
of
raw
materials.
Despite
its
significant
potential,
research
compiling
evaluating
specific
contributions
additive
in
field
chemical
engineering
was
scarce
both
quantitative
qualitative
terms.
Similarly,
application
tools
has
not
been
specifically
reviewed.
Therefore,
this
work
conducted
comprehensive
review
scientific
literature
covering
these
issues
bibliometric
analysis.
The
search
encompassed
entirety
up
year
2023,
yielding
3761
documents
Scopus
database.
principal
findings
analysis
indicated
exponential
growth
number
publications,
which
suggests
rising
interest
field.
revealed
that
English
dominant
language
documents,
articles
constituted
most
common
document
type,
indicating
quality
maturity
research.
thematic
distribution
proved
multidisciplinary,
primary
focus
on
materials
science,
well
basic
sciences.
United
States
foremost
contributor
production,
followed
by
China
Germany.
Keyword
scrutiny
cited
enabled
identification
main
topics,
were
found
include
biofabrication
biomedical
applications.
Moreover,
network
software
SciMAT
(v
1.1.06)
yielded
corresponding
strategic
diagrams,
evolution
maps,
networks,
provided
overview
trends
gaps.
considerable
other
purposes
overshadowed
applications
within
field,
while
potential
could
make
have
eclipsed
too.
On
one
hand,
focused
process
intensification
benefit
from
design
advanced
microreactors
miniaturized
devices
or
more
efficient
heat
exchangers,
catalysts,
adsorbents
separation
membranes
structures.
life
cycle
assessment
optimization
are
established
should
extensively
employed
context
ensure
sustainable
outcome.
Research Square (Research Square),
Год журнала:
2025,
Номер
unknown
Опубликована: Апрель 24, 2025
Abstract
Ensuring
quality
of
aerospace
components
produced
via
additive
manufacturing
is
challenging
because
conventional
methods
are
often
reactive
and
insufficient
to
detect
prevent
defects
in
real
time,
not
addressing
the
complexity
precision
required.
The
main
aim
this
study
develop
an
innovative
smart
monitoring
system
which
integrates
electronic
nose
(e-nose),
a
thermal
camera,
convolutional
neural
networks
(CNN)
anomalies
during
production
process
designed
for
purposes.
adopted
methodology
involves
combining
chemical
data
collected
by
e-nose
be
analyzed
using
CNN.
anomaly
detection
enables
real-time
corrective
actions,
optimizing
parameters.
CNN’s
iterative
learning
capabilities
ensure
adaptive
improved
over
time.
Results
demonstrate
that
integrated
multi-sensor
approach
has
potential
enhance
significantly
accuracy,
reduce
material
waste,
compliance
with
standards.
prototype
originality
lies
synergistic
integration
advanced
technologies
machine
AM
processes,
providing
proactive
solution
defect
prevention.
Practical
implications
include
increased
efficiency,
reduced
costs,
sustainability,
as
well
scalability
other
high-stakes
industries
requiring
rigorous
assurance.
Surface Engineering,
Год журнала:
2025,
Номер
unknown
Опубликована: Май 19, 2025
Laser
cladding
of
Inconel
718
coatings
offers
significant
advantages
in
the
repair
high-value
components,
but
its
low
dimensional
accuracy
and
high
surface
roughness
limit
direct
application.
This
study
developed
a
novel
3D
milling
simulation
model
incorporating
layer
anisotropy
experimentally
optimized
machining
parameters
through
milling,
aiming
to
minimize
axial
cutting
forces,
improve
quality,
maximize
material
removal
rate
(MRR).
First,
optimal
laser
were
designed,
experiments
achieved
flatness
85.247%
for
layer.
A
was
developed,
multi-objective
genetic
algorithm
employed
resolve
Pareto
frontier.
Next,
finite
element
simulations
analyzed
force,
Mises
stress,
temperature
under
speeds
ranging
from
50
80
m/min,
feed
rates
0.04
0.08
mm/z,
depths
0.3
0.7
mm.
The
results
showed
that
speed
are
key
factors
optimizing
process.
Orthogonal
one-factor
conducted
fused
cladding.
Experimental
validation
indicated
deviation
simulated
forces
less
than
15%,
confirming
reliability
model.
optimization
(MOGA)
constructed
based
on
algorithm,
obtaining
solution
set.
(59
m/min
speed,
0.4
mm
depth,
mm/z
rate)
yielded
experimental
errors
below
10%.
provides
systematic
process
framework
additive-subtractive
hybrid
manufacturing
anisotropic
laser-clad
achieving
synergistic
precision
efficiency.
IGI Global eBooks,
Год журнала:
2025,
Номер
unknown, С. 55 - 78
Опубликована: Май 16, 2025
Additive
Manufacturing
(AM),
commonly
known
as
3D
printing,
is
emerging
a
transformative
technology
capable
of
reshaping
industrial
production
through
material
efficiency,
design
freedom,
and
decentralized
fabrication.
However,
the
long-term
sustainability
AM
challenged
by
significant
concerns
related
to
energy
consumption,
waste,
limited
recyclability
polymers,
metals,
composites.
This
chapter
evaluates
environmental
implications
within
framework
circular
economy,
focusing
on
recycling
strategies,
lifecycle
management.
Real-world
examples
from
aerospace
automotive
industries,
such
Airbus's
use
Ti6Al4V
BMW's
recycled
thermoplastics,
illustrate
both
opportunities
constraints
implementing
sustainable
at
scale.
The
explores
mechanical
chemical
methods,
biodegradable
alternatives,
AI-driven
process
optimizations
improve
waste
reduction
performance.
Materials,
Год журнала:
2025,
Номер
18(11), С. 2616 - 2616
Опубликована: Июнь 3, 2025
This
paper
advances
the
forward
extrusion
process
by
integrating
sustainable
methodologies
and
optimizing
energy
efficiency.
research
investigates
impact
of
die
geometry
elongation
coefficients
on
usage
efficiency,
employing
finite
element
method
(FEM)
simulations
alongside
empirical
analysis.
Artificial
neural
networks
experimental
data
were
utilized
to
predict
energy.
The
study
flat,
conical,
arc-shaped
dies
extrude
lead
profiles
exhibiting
different
coefficients.
analyzed
dynamics
material
flow,
requirements,
maximum
forces.
Patterns
deformation,
distribution
tension,
losses
discerned,
with
models
enhancing
understanding
these
phenomena.
mathematical
framework
forecasting
peak
force
in
relation
parameters
was
substantiated
via
residual
diagnostics
regression
findings
indicate
that
conical
arc
can
conserve
up
15%
comparison
flat
dies,
thereby
improving
flow
reducing
deformation
comprehensive
strategy
provides
practical
solutions
reduce
consumption
improve
metal
forming
processes,
industrial
efficiency
sustainability.
results
not
only
benefit
industry
but
also
align
environmental
objectives,
increasing
sustainability
operations.