A Comprehensive Review of AI-Based Digital Twin Applications in Manufacturing: Integration Across Operator, Product, and Process Dimensions
Electronics,
Journal Year:
2025,
Volume and Issue:
14(4), P. 646 - 646
Published: Feb. 7, 2025
Digital
twins
(DTs)
represent
a
transformative
technology
in
manufacturing,
facilitating
significant
advancements
monitoring,
simulation,
and
optimization.
This
paper
offers
an
extensive
bibliographic
review
of
AI-Based
DT
applications,
categorized
into
three
principal
dimensions:
operator,
process,
product.
The
operator
dimension
focuses
on
enhancing
safety
ergonomics
through
intelligent
assistance,
utilizing
real-time
monitoring
artificial
intelligence,
notably
human–robot
collaboration
contexts.
process
application
concerns
itself
with
optimizing
production
flows,
identifying
bottlenecks,
dynamically
reconfiguring
systems
predictive
models
simulations.
Lastly,
the
product
emphasizes
applications
focused
improvements
design
quality,
employing
lifecycle
historical
data
to
satisfy
evolving
market
requirements.
categorization
provides
structured
framework
for
analyzing
specific
capabilities
trends
DTs,
while
also
knowledge
gaps
contemporary
research.
highlights
key
challenges
technological
interoperability,
integration,
high
implementation
costs
emphasizing
how
digital
twins,
supported
by
AI,
can
drive
transition
toward
sustainable,
human-centered
manufacturing
line
Industry
5.0.
findings
provide
valuable
insights
advancing
state
art
exploring
future
opportunities
twin
applications.
Language: Английский
Digital Twins: Recent Advances and Future Directions in Engineering Fields
Intelligent Systems with Applications,
Journal Year:
2025,
Volume and Issue:
unknown, P. 200516 - 200516
Published: April 1, 2025
Language: Английский
Incorporating machine learning in shot peening and laser peening: A review and beyond
Advanced Engineering Informatics,
Journal Year:
2025,
Volume and Issue:
65, P. 103350 - 103350
Published: April 14, 2025
Language: Английский
Immersive Digital Twin under ISO 23247 Applied to Flexible Manufacturing Processes
Applied Sciences,
Journal Year:
2024,
Volume and Issue:
14(10), P. 4204 - 4204
Published: May 15, 2024
Digital
twin
(DT)
technology
provides
a
path
for
implementing
cyber–physical
systems
(CPS)
and
developing
smart
manufacturing
because
they
are
essential
tools
monitoring
controlling
processes.
It
is
considered
vital
in
being
widely
researched
academia
industry.
Furthermore,
the
combination
of
DTs
immersive
environments
has
shown
great
potential
integrating
novel
capabilities
into
new
generation
CPS.
This
research
presents
an
architecture
digital
twins
under
ISO
23247
flexible
The
proposed
system
based
on
integration
DT
technologies
conjunction
with
augmented
reality
(AR)
gesture
tracking,
validation
was
performed
sorting
station
MPS
500
to
increase
interaction
flexibility
between
physical
virtual
real
time,
thus
enhancing
DT.
methodology
used
design
implementation
includes
(1)
general
principles
requirements;
(2)
models
functional
views
domains
entities;
(3)
attributes
observable
elements;
(4)
protocols
exchange
information
entities.
results
show
that
these
improves
monitoring,
control,
simulation
processes
using
3D
resources
environments,
achieving
higher
level
interactivity.
In
addition,
error
detection
tests
were
carried
out,
where
reduction
time
observed
resolution
errors
may
be
caused
by
internal
or
external
disturbances
process,
avoiding
production
delays.
Language: Английский