Applying artificial intelligence for forecasting behavior in a liquefied hydrogen unit
Dongmei Jing,
No information about this author
Azher M. Abed,
No information about this author
Pinank Patel
No information about this author
et al.
International Journal of Hydrogen Energy,
Journal Year:
2025,
Volume and Issue:
114, P. 31 - 51
Published: March 1, 2025
Language: Английский
In the Study of the Effects of the Pipe Design of a Heat Exchanger on the Thermo-Fluid Characteristics and Exergy Destruction
Sadra Rostami,
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Nima Ahmadi
No information about this author
Processes,
Journal Year:
2025,
Volume and Issue:
13(3), P. 835 - 835
Published: March 12, 2025
This
study
investigates
the
effects
of
novel
pipe
cross-section
designs
on
thermal,
hydraulic,
and
exergetic
performance
a
double-pipe
heat
exchanger,
aiming
to
identify
most
efficient
design
for
industrial
applications.
Four
cross-sections
are
proposed:
Case
1
(rounded
square),
2
(hexagonal),
3
(triangular),
4
(star-like),
all
maintaining
same
inlet
area
as
base
model
(circular).
A
3D
CFD
using
Finite
Volume
Method
realizable
k-ε
turbulence
is
employed
analyze
under
turbulent
flow
conditions
(Re
=
3000–20,000).
Key
metrics,
including
Nusselt
number,
overall
transfer
coefficient,
pressure
drop,
exergy
destruction,
evaluated.
The
results
show
that
achieves
7%
increase
in
number
at
Re
3000
2%
20,000,
while
exhibits
180%
improvement
coefficient
13,100.
However,
4’s
higher
drop
reduces
its
compared
model.
demonstrates
best
thermal
characteristics,
making
it
suitable
Language: Английский
Experimental investigation of the effects of simultaneously using plate fins and a helical screw rod with a core rod on a double-tube heat exchanger’s thermal performance
Journal of Thermal Analysis and Calorimetry,
Journal Year:
2025,
Volume and Issue:
unknown
Published: April 4, 2025
Language: Английский
Advanced latent thermal energy storage design featuring three dividers: Optimizing multi-enclosure system with ANN-driven models and hybrid phase change material integration
Zhonghong Li,
No information about this author
Lin Wu,
No information about this author
Mohamed Shaban
No information about this author
et al.
Journal of Energy Storage,
Journal Year:
2025,
Volume and Issue:
122, P. 116603 - 116603
Published: April 15, 2025
Language: Английский
Optimizing the eco-friendly dyeing of wool and nylon fabrics with Prangos ferulacea (L.) Lindl using artificial intelligence
Shiva Shokrzadeh,
No information about this author
Milad Razbin,
No information about this author
Fatemeh Shahmoradi Ghaheh
No information about this author
et al.
Scientific Reports,
Journal Year:
2025,
Volume and Issue:
15(1)
Published: April 17, 2025
Language: Английский
Effect of Using Wire Coils and Aluminum Oxide Nanofluid on Heat Transfer in a Double-pipe Heat Exchanger and Predicting Data with Artificial Neural Networks
Roohallah Karimpooremam,
No information about this author
Fatemeh poursaied,
No information about this author
Bahram Keyvani
No information about this author
et al.
Case Studies in Thermal Engineering,
Journal Year:
2025,
Volume and Issue:
unknown, P. 106232 - 106232
Published: May 1, 2025
Language: Английский
Designing high-efficiency parabolic trough receiver tubes via AI-assisted simulation
Renewable Energy,
Journal Year:
2025,
Volume and Issue:
unknown, P. 123366 - 123366
Published: May 1, 2025
Language: Английский
Optimization based on the cost, energy, and environmental approaches of a solar-geo system: using real solar data of ParsaAbad-e-Moghan
Journal of the Brazilian Society of Mechanical Sciences and Engineering,
Journal Year:
2024,
Volume and Issue:
47(1)
Published: Dec. 11, 2024
Language: Английский
Comprehensive review of heat transfer and fluid flow characteristics of elliptical/oval twisted tubes
Aliakbar Sheikhi Azizi,
No information about this author
S. Morteza Mousavi,
No information about this author
Kambiz Vafai
No information about this author
et al.
International Journal of Heat and Fluid Flow,
Journal Year:
2024,
Volume and Issue:
112, P. 109639 - 109639
Published: Dec. 24, 2024
Language: Английский
Free vibration optimization of 2D tri-axial braided composite fan blade with ANN-Anal-FEM-GA integrated model
Scientific Reports,
Journal Year:
2024,
Volume and Issue:
14(1)
Published: Nov. 21, 2024
This
research
aimed
to
increase
the
natural
frequencies
of
a
non-rotating
2D
tri-axial
braided
composite
(2DTBC)
fan
blade.
The
investigation
utilized
multidisciplinary
approach,
integrating
Artificial
Neural
Network
(ANN)
modeling,
analytical
method,
Finite
Element
(FE)
analysis,
optimization
techniques,
and
experimental
validation.
ANN
captured
complex
relationship
between
braiding
machine
structure
parameters.
mechanical
properties
2DTBC
were
determined
through
micromechanical
thin-shell
analysis
was
applied
describe
blade's
displacement
strain
characteristics.
Micromechanical
modeling
examines
material
behavior
at
microscopic
level,
thin
shell
focuses
on
analyzing
thin,
curved
structures
using
simplified
equations.
FE
method
facilitated
formulation
equation
motion
calculation
frequencies.
A
genetic
algorithm,
focused
single-objective
optimization,
employed
refine
parameters
number
layers,
thereby
enhancing
optimized
blade
subsequently
fabricated
validated
impact
hammer
modal
testing,
showing
strong
agreement
with
predictions
from
combined
ANN-analytical-FEM-GA
model.
led
significant
in
Language: Английский