Sustainability,
Journal Year:
2024,
Volume and Issue:
16(3), P. 1009 - 1009
Published: Jan. 24, 2024
From
the
perspective
of
innovation
manufacturing
links,
this
paper
conducted
research
on
current
situation
development
and
relationship
between
regional
economy
digital
transformation,
aiming
to
offer
suggestions
reference
for
relevant
policy
making.
Firstly,
taking
INCOPAT
patent
database
as
data
source,
a
quantitative
analysis
was
five
key
links
in
industry,
which
obtained
characteristics
industry
from
link
innovation.
Then,
based
economic
panel
regions
China,
coupling
coordination
investigate
transformation
coordinated
2017
2021.
The
level
characteristic
relations
31
provinces
or
cities
these
two
systems
were
analyzed.
On
whole,
China
is
steadily
rising
but
varies
among
different
regions,
that
is,
economically
developed
tend
have
better
development.
In
general,
highly
relates
Moreover,
speed
tends
be
stable
with
types
should
formulate
corresponding
policies
accelerate
Journal of Manufacturing Systems,
Journal Year:
2024,
Volume and Issue:
74, P. 762 - 776
Published: May 13, 2024
Currently,
Industry
4.0
is
rapidly
developing,
empowered
by
IoT,
cloud
computing
and
AI.
As
two
crucial
components
of
4.0,
digital
twins
additive
manufacturing
(AM)
are
attracting
increasing
attention.
Despite
considerable
research
in
recent
years
on
developing
for
AM,
the
field
still
faces
discrepancies
definition
confusion
development
processes,
making
AM
expensive.
The
reason
behind
this
uniqueness
each
process,
leading
to
low
adaptability
twins.
To
address
issue,
work
summarises
found
literature
review
proposes
a
novel,
service-oriented
framework
comprising
four
layers:
service,
model,
data,
interface.
This
aims
enhance
reusability
developed
across
various
levels.
commonly
used
layer
also
summarised
assist
developers
constructing
tailored
their
specific
needs.
A
case
study
included
demonstrate
framework's
effectiveness
potential.
Frontiers in Energy Research,
Journal Year:
2024,
Volume and Issue:
12
Published: Feb. 16, 2024
Advanced
manufacturing
techniques
and
digital
twin
technology
are
rapidly
transforming
the
nuclear
industry,
offering
potential
to
enhance
productivity,
safety,
cost-effectiveness.
Customized
parts
being
produced
using
additive
manufacturing,
automation,
robotics,
while
enables
virtual
modeling
optimization
of
complex
systems.
These
advanced
technologies
can
significantly
improve
operational
efficiency,
predict
system
behavior,
optimize
maintenance
schedules
in
energy
sector,
leading
heightened
safety
reduced
downtime.
However,
industry
demands
highest
levels
security,
as
well
intricate
processes
operations.
Thus,
challenges
such
data
management
cybersecurity
must
be
addressed
fully
realize
industry.
This
comprehensive
review
highlights
critical
role
with
toward
performance,
minimize
downtime,
heighten
ultimately
contributing
global
mix
by
providing
dependable
low-carbon
electricity.
International Journal of Precision Engineering and Manufacturing-Smart Technology,
Journal Year:
2023,
Volume and Issue:
1(2), P. 187 - 200
Published: July 1, 2023
The
paradigm
shift
from
model-based
to
data-driven
approaches
in
production
logistics
is
radically
transforming
the
manufacturing
landscape.
This
paper
delves
into
profound
implications
of
this
transition,
emphasizing
instrumental
role
simulation
and
digital
twins.
Through
an
exhaustive
literature
review,
emerging
trends
driving
forces
behind
change
are
elucidated.
A
comparative
case
study
presented,
contrasting
approach,
which
employs
predefined
models
principles
simulations,
with
innovative
utilizes
real-time
data
machine
learning
for
system
monitoring
predictions
logistics.
analysis
reveals
heightened
efficiency,
adaptability,
effectiveness
offered
by
showcasing
their
superiority.
Additionally,
prospective
roles
AI,
particularly
large
language
like
ChatGPT,
enhancing
investigated.
Exploratory
scenarios
envision
future
trajectories
twin
applications
rapidly
evolving
field.
provides
academia
industry
a
comprehensive
overview
digitalization
logistics,
immense
promise
approach
AI.
Processes,
Journal Year:
2024,
Volume and Issue:
12(6), P. 1062 - 1062
Published: May 22, 2024
The
additive
manufacturing
(AM)
field
is
rapidly
expanding,
attracting
significant
scientific
attention.
This
family
of
processes
will
be
widely
used
in
the
evolution
Industry
4.0,
particularly
production
customized
components.
However,
as
complexity
and
variability
increase,
there
an
increasing
need
for
advanced
techniques
to
ensure
quality
control,
optimize
performance,
reduce
costs.
Multiple
tests
are
required
processing
variables
specific
equipment
processes,
achieve
optimum
conditions.
application
digital
twins
(DTs)
has
significantly
enhanced
manufacturing.
A
twin,
abbreviated
DT,
refers
a
computer-generated
model
that
accurately
depicts
real-world
object,
system,
or
process.
DT
comprises
complete
process,
from
initial
conception
phase
final
phase.
It
enables
process
continuously
monitored,
studied,
optimized
real
time.
emerged
important
tool
industry.
They
allow
manufacturers
enhance
improve
product
quality,
decrease
costs,
accelerate
innovation.
development
AM
iterative
continuous
requires
collaboration
between
domain
experts,
data
scientists,
engineers,
teams
guarantee
accurate
representation
by
twin.
paper
aims
provide
comprehensive
analysis
current
state
manufacturing,
examining
their
applications,
benefits,
challenges,
future
directions.
Journal of Emerging Science and Engineering,
Journal Year:
2023,
Volume and Issue:
1(1), P. 29 - 35
Published: Sept. 2, 2023
The
adoption
of
digital
twin
technology
in
the
realm
internal
combustion
(IC)
engines
has
been
attracting
a
lot
interest.
This
review
article
offers
comprehensive
summary
applications
and
effects
IC
engine
arena.
Digital
twins,
which
are
virtual
counterparts
real-world
engines,
allow
for
real-time
monitoring,
diagnostics,
predictive
modeling,
resulting
improved
design,
development,
operating
efficiency.
abstract
digs
into
creation
full
depiction
using
data-driven
models,
physics-based
simulations,
IoT
sensor
data.
study
looks
at
how
twins
can
potentially
be
used
throughout
engine's
lifespan,
including
design
validation,
performance
optimization,
condition-based
maintenance.
paper
emphasizes
critical
role
revolutionizing
operations,
enhanced
reliability,
decreased
downtime,
emissions
control
through
methodical
analysis
significant
case
studies
innovations.
Sensors,
Journal Year:
2024,
Volume and Issue:
24(15), P. 5002 - 5002
Published: Aug. 2, 2024
This
review
focuses
on
the
definitions,
modalities,
applications,
and
performance
of
various
aspects
digital
twins
(DTs)
in
context
transmission
industrial
machinery.
In
this
regard,
around
Industry
4.0
even
aspirations
for
5.0
are
discussed.
The
many
definitions
interpretations
DTs
domain
first
summarized.
Subsequently,
their
adoption
levels
rotating
machineries
manufacturing
lifetime
observed,
along
with
type
validations
that
available.
A
significant
focus
integrating
fundamental
operations
system
scenarios
over
lifetime,
sensors
advanced
machine
or
deep
learning,
other
statistical
data-driven
methods
highlighted.
summarizes
how
individual
extremely
helpful
design,
manufacturing,
decision
making
when
a
DT
can
remain
incomplete
limited.
