An optimization-centric review on integrating artificial intelligence and digital twin technologies in manufacturing
Engineering Optimization,
Journal Year:
2025,
Volume and Issue:
unknown, P. 1 - 47
Published: Jan. 3, 2025
Language: Английский
Integrating 3D printing, Simulations and Surrogate Modelling: A Comprehensive Study on Additive Manufacturing focusing on a metal Twin-Cantilever benchmark
C. Mallor,
No information about this author
Sébastien Lani,
No information about this author
V. Zambrano
No information about this author
et al.
Advances in Industrial and Manufacturing Engineering,
Journal Year:
2025,
Volume and Issue:
unknown, P. 100162 - 100162
Published: April 1, 2025
Language: Английский
Integrating sensors and Machine Learning: A smart monitoring system prototype for quality assurance in additive manufacturing for the aerospace industry
Research Square (Research Square),
Journal Year:
2025,
Volume and Issue:
unknown
Published: April 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.
Language: Английский
Additive Manufacturing in Biomedical: Applications, Challenges, and Prospects
Hybrid Advances,
Journal Year:
2025,
Volume and Issue:
unknown, P. 100467 - 100467
Published: March 1, 2025
Language: Английский
A comprehensive review on application of machine intelligence in additive manufacturing
Turkish Journal of Engineering,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Oct. 21, 2024
Additive
manufacturing
(AM),
one
of
the
emerging
disruptive
technologies,
is
gaining
popularity
not
only
in
rapid
prototyping
but
also
complex
shapes
and
dimensions.
Artificial
intelligence
(AI)
exhibited
by
computer
systems
to
perform
tasks
such
as
learning,
reasoning,
decision
making
problem
solving.
Machine
learning
(ML)
a
subset
artificial
which
enables
AI
imitate
human
process
using
data
algorithms.
The
concept
machine
helps
advanced
computing
technologies
interact
with
environment
highlights
intersection
ML.
aim
this
review
article
provide
comprehensive
information
about
application
ML
various
additive
processes
for
different
activities
order
improve
performance
operation.
Also,
it
describes
other
Internet
Things
(IoT),
Digital
Twins
(DT)
Block
Chain
Technology
augment
producing
quality
products.
Further,
explains
challenges
that
are
encountered
certain
areas
need
be
addressed
future
enhancement
product
production
Language: Английский