Optimization of assembly parameters for composite bolted joints aiming at time-varying bearing reliability improvement
Composite Structures,
Год журнала:
2025,
Номер
unknown, С. 119113 - 119113
Опубликована: Март 1, 2025
Язык: Английский
Layup optimization of composite B-pillar under side impact
International Journal of Mechanical Sciences,
Год журнала:
2025,
Номер
287, С. 109927 - 109927
Опубликована: Янв. 6, 2025
Язык: Английский
Industrial Applications of AI in Aircraft Manufacturing: A PRISMA Systematic Literature Review
Pierrick BOUGAULT,
Raphael Haddad,
Liang Ma
и другие.
Research Square (Research Square),
Год журнала:
2025,
Номер
unknown
Опубликована: Март 12, 2025
Abstract
Aircraft
industry,
especially
the
commercial
aircraft
branch,
is
an
important
and
specific
field
in
manufacturing
due
to
its
distinct
features
such
as
high
personalization
low
production
output,
expected
grow
significantly
future.
At
same
time,
artificial
intelligence
(AI)
machine
learning
(ML)
have
undertaken
a
major
revolution
sector
with
promising
improvements.
However,
global
deployment
of
AI/ML
sphere
still
requires
further
operationalization.
This
study
aims
address
challenges
this
implementation
by
providing
PRISMA
systematic
literature
review
89
articles.
Several
perspectives
were
analyzed,
including
word
cloud
analysis,
distribution
over
years,
geographical
distribution,
domains
application,
paradigms,
models,
materials,
components.
Additionally,
synthesis
was
conducted
on
data
augmentation,
reduction,
hardware
employed,
overall
all
relevant
articles
field.
The
findings
revealed
insights
into
trends
applications
terms
techniques,
influence,
applications,
materials
contributes
gathering
present
state-of-the-art
research,
identifying
key
elements,
highlighting
research
opportunities,
use
LLMs
integration
human
factors.
Язык: Английский
Industrial Applications of AI in Aircraft Manufacturing: A PRISMA Systematic Literature Review
Pierrick BOUGAULT,
Raphael Haddad,
Liang Ma
и другие.
Research Square (Research Square),
Год журнала:
2025,
Номер
unknown
Опубликована: Май 19, 2025
Abstract
Artificial
Intelligence
(AI)
and
Machine
Learning
(ML)
are
foundations
in
new
manufacturing
paradigms,
yet
their
application
the
aircraft
industry
remains
limited,
as
this
industry's
core
expertise
does
not
traditionally
cover
these
technologies.
Additionally,
due
to
its
specific
features,
presents
unique
challenges,
for
instance
with
data.
To
date,
no
systematic
review
has
considered
features
enable
stakeholders
sector
successfully
undergo
AI/ML
transformation.
This
study
aims
analyze
screen
state
of
art
by
providing
a
PRISMA
literature
89
articles,
focusing
on
contexts,
models,
methods
employed
development
solutions.
The
authors
propose
framework
summarize
findings
regarding
AI
development,
applications,
benefits,
challenges
industry.
contributes
field
meticulously
gathering
methodologies
approaches
that
address
integrate
specificities
use
integration
Furthermore,
further
research
opportunities
identified
through
comparison
current
theoretical
concepts
Industry
5.0,
cutting-edge
technologies,
such
Federated
Learning,
Transfer
Large
Language
Models
(LLMs),
lack
supply
chain
investigation,
human
factors,
which
emerging
or
notably
absent
major
reviewed
articles.
Язык: Английский
A cGAN-based fatigue life prediction of 316 austenitic stainless steel in high-temperature and high-pressure water environments
International Journal of Fatigue,
Год журнала:
2024,
Номер
unknown, С. 108633 - 108633
Опубликована: Окт. 1, 2024
Язык: Английский
Conditional generative adversarial network-based predictive method for crack initiation in a dual-phase austenite stainless weld
Corrosion Science,
Год журнала:
2024,
Номер
unknown, С. 112494 - 112494
Опубликована: Окт. 1, 2024
Язык: Английский
TF-F-GAN: A GAN-based model to predict the assembly physical fields under multi-modal variables fusion on vision transformer
Advanced Engineering Informatics,
Год журнала:
2024,
Номер
62, С. 102871 - 102871
Опубликована: Окт. 1, 2024
Язык: Английский
Pull-Out Progressive Damage and Failure Analysis of Laminated Composite Bolted Joints
Materials,
Год журнала:
2024,
Номер
17(23), С. 5747 - 5747
Опубликована: Ноя. 24, 2024
Laminated
composite
bolted
joints
are
increasingly
used
in
the
aerospace
field,
and
their
damage
failure
behavior
has
been
studied
depth.
In
view
of
complexity
stability
requirements
laminated
structures,
accurate
prediction
evolution
is
significant
to
ensure
safety
reliability
structures.
this
paper,
a
novel
asymptotic
model
developed
predict
process
joints.
model,
modified
Puck
criterion
maximum
shear
stress
for
fiber
yarns.
The
parabolic
yield
adopted
matrix,
fracture,
inter-fiber
fracture
matrix
considered
at
microscopic
level.
pull-out
strength
progressive
countersunk
convex
structures
predicted
by
using
proposed
corresponding
experimental
studies
carried
out.
results
show
that
good
agreement
with
data,
which
verifies
model.
Additionally,
effects
different
structural
parameters
(thickness
aperture)
on
during
analyzed
correction
factors
obtained,
provides
powerful
tool
design,
analysis
progression
joint
Язык: Английский