Technical Advancements and Applications in Predictive Modeling of Polyurethane Foaming Height
Polymers,
Год журнала:
2025,
Номер
17(4), С. 452 - 452
Опубликована: Фев. 8, 2025
Various
polyurethane
foams
(i.e.,
rigid,
flexible,
and
spray
foams)
offer
diverse
applications
due
to
their
unique
properties,
including
thermal
insulation,
cushioning,
seamless
gap
filling.
These
provide
solutions
across
industries
such
as
construction,
automotive,
refrigeration.
However,
the
foaming
process
presents
several
challenges
that
may
result
in
various
defects
final
products.
This
work
provides
innovative
predictive
techniques
for
foam
expansion
advanced
manufacturing
processes.
The
height
of
third
agent
(PU-3)
closely
aligned
with
experimentally
measured
values.
relationship
between
time
is
influenced
by
type
concentration
catalysts,
well
blowing
agents
used.
simulations
using
Moldex
3D
Version
2024
revealed
a
nonlinear
time,
characterized
three
distinct
rates.
Zone
B
demonstrated
highest
rate,
followed
C,
while
A
showed
lowest
rate.
rate
were
significantly
angle,
smaller
angles
enhancing
both
parameters.
At
mold
temperature
30
°C
an
coefficient
35,
predicted
achieved
average
accuracy
approximately
96%
four
angles.
Based
on
these
experimental
findings,
this
study
introduces
mechanisms
involved
components.
Язык: Английский
A machine learning approach to refining surface quality and material durability in additive manufacturing
Progress in Additive Manufacturing,
Год журнала:
2025,
Номер
unknown
Опубликована: Март 27, 2025
Язык: Английский
AI-Driven Generative Design for Next-Generation 3D Concrete Printing in Architecture: State of the Art
Deleted Journal,
Год журнала:
2025,
Номер
3(2), С. 225 - 232
Опубликована: Март 25, 2025
The
convergence
of
artificial
intelligence
(AI)
and
3D
concrete
printing
(3DCP)
heralds
a
paradigm
shift
in
architectural
design
construction,
blending
computational
innovation
with
sustainable
practices.
This
study
synthesizes
the
state
art
AI-driven
generative
for
3DCP,
examining
cutting-edge
methodologies
such
as
adversarial
networks
(GANs),
topology
optimization,
reinforcement
learning
(RL),
digital
twins.
These
technologies
collectively
address
longstanding
challenges
material
efficiency,
structural
robustness,
ecological
impact
by
automating
exploration,
real-time
process
control,
lifecycle
management.
integration
AI
3DCP
enables
unprecedented
geometric
complexity,
adaptive
fabrication,
smart
city
alignment,
yet
barriers
scalability,
regulatory
frameworks,
standardization
persist.
By
critically
evaluating
advancements
ChatGPT-aided
ideation,
physics-informed
simulations,
IoT-enabled
twins,
this
research
maps
holistic
framework
AI-augmented
3DCP.
paper
underscores
transformative
potential
redefining
workflows,
advocating
interdisciplinary
collaboration
to
bridge
creativity,
ethical
governance,
urban
development.
Язык: Английский