Advanced Approaches to Material Processing in FFF 3D Printing: Integration of AR-Guided Maintenance for Optimized Manufacturing
Journal of Manufacturing and Materials Processing,
Journal Year:
2025,
Volume and Issue:
9(2), P. 47 - 47
Published: Feb. 3, 2025
The
field
of
additive
manufacturing
increasingly
demands
innovative
solutions
to
optimize
material
processing,
improve
equipment
efficiency,
and
address
maintenance
challenges
in
high-utilization
environments.
This
study
investigates
the
operation
management
an
FFF
3D
printing
production
line
comprising
eight
remotely
controlled
printers.
system
supports
custom
educational
activities,
focusing
on
processing
a
range
thermoplastics
composite
materials.
A
key
contribution
this
work
lies
addressing
impact
frequent
hardware
servicing
caused
by
shared
use
among
users.
Augmented
reality
(AR)-guided
assembly
disassembly
workflows
were
developed
ensure
uninterrupted
operations.
These
are
accessible
via
smart
devices
provide
step-by-step
guidance
tailored
specific
requirements.
research
evaluates
effectiveness
AR-enhanced
minimizing
downtime,
extending
lifespans,
ensuring
consistent
performance
during
processes.
Furthermore,
it
explores
role
AR
maintaining
mechanical,
thermal,
chemical
properties
processed
materials,
high-quality
outputs
across
diverse
applications.
paper
highlights
integration
advanced
methodologies
with
emerging
technologies
like
AR,
aligning
focus
enhancing
schemes.
findings
contribute
improving
process
efficiency
adaptability
manufacturing,
offering
insights
into
scalable
for
remote-controlled
multi-user
systems.
Language: Английский
A Multi-Feature Automatic Evaluation of the Aesthetics of 3D Printed Surfaces
Applied Sciences,
Journal Year:
2025,
Volume and Issue:
15(9), P. 4852 - 4852
Published: April 27, 2025
Additive
manufacturing
is
one
of
the
continuously
developing
areas
technology
that
still
requires
reliable
monitoring
and
quality
assessment
obtained
products.
Considering
relatively
long
time
necessary
for
larger
products,
most
desired
solutions
video
manufactured
object’s
surface.
This
makes
it
possible
to
stop
printing
process
if
unacceptable.
It
helps
save
filament,
energy,
time,
preventing
production
items
with
poor
aesthetic
quality.
In
paper,
several
approaches
image-based
surface
are
discussed
combined
towards
a
high
correlation
subjective
perception
typical
degradations
3D
printed
surfaces,
exceeding
0.9.
Although
significant
limitations
using
full-reference
image
quality-assessment
metrics
might
be
lack
reference
images,
can
overcome
by
mutual
similarity
calculated
regions.
For
created
dataset
containing
107
samples
scores,
shown
combination
even
two
their
weighted
sum
product
significantly
outperforms
any
elementary
metric
or
feature
when
considering
correlations
scores.
Language: Английский