Support vector machine learning classification of heat transfer rate in tri-hybrid nanofluid over a 3D stretching surface with suction effects for water at 10°C and 50°C
Alexandria Engineering Journal,
Journal Year:
2025,
Volume and Issue:
118, P. 556 - 578
Published: Jan. 28, 2025
Language: Английский
Numerical simulation and machine learning study on heat transfer enhancement of nanofluids in Taylor–Couette flow with an elliptical slit surface
International Communications in Heat and Mass Transfer,
Journal Year:
2025,
Volume and Issue:
163, P. 108788 - 108788
Published: Feb. 26, 2025
Language: Английский
A compensation strategy to improve gas-solid heat transfer without sacrificing kinetic energy in a cyclone pyrolyzer
Nan Zhang,
No information about this author
Xueer Pan,
No information about this author
Jingxuan Yang
No information about this author
et al.
Energy,
Journal Year:
2025,
Volume and Issue:
unknown, P. 135952 - 135952
Published: April 1, 2025
Language: Английский
Optimizing entropy production in bi-diffusive convection within trapezoidal Porous enclosure using radiative trihybrid nanofluids and T-shaped baffle
European Journal of Mechanics - B/Fluids,
Journal Year:
2025,
Volume and Issue:
unknown, P. 204268 - 204268
Published: April 1, 2025
Language: Английский
Numerical Modeling of MHD Double‐Diffusive Convection and Entropy Generation in an Inclined Curvilinear Lid‐Driven Cavity
Energy Science & Engineering,
Journal Year:
2025,
Volume and Issue:
unknown
Published: April 17, 2025
ABSTRACT
This
paper
investigates
numerically
the
effect
of
MHD
and
entropy
generation
on
double‐diffusive
combined
convection
in
an
inclined
enclosure
filled
with
Si
2
O/H
O
heated
fins.
The
geometry's
base
is
connected
to
double
fins
three
locations
cases.
A
range
variables
has
been
considered,
such
as
Reynolds,
Richardson,
Lewis,
bouancy
ratio,
volume
fraction,
Hartmann
numbers,
orientation
enclosure,
investigate
how
these
can
affect
fluid
flow
mass
thermal
transfer.
finite
element
method
applied
solve
variables,
main
findings
indicated
that
value
average
Nusselt
Sherwood
numbers
increases
increase
Lewis
while
decreasing
magnetic
strength,
number.
Where
Nu
avg
Sh
65%
19%
when
increasing
Re
from
40
180
both
values
decrease
around
35%
Haatmann
number
0
62.
Moreover,
concentration
0.08
3%
12%
respectively.
Furthermore,
inclination
angle.
In
contrast,
decreases
angle,
except
for
right
which
gives
a
higher
value.
total
reduced
magnetohydrodynamic
buoyancy
ratio
rise
nanoparticles.
Also,
lowest
are
generated
Case
3,
CaseI
generates
highest
generation.
Language: Английский
Designing novel soft computing paradigm to compute the impact of thermal radiation for efficient thermal transportation of Maxwell hybrid nanofluid model: Renewable solar energy in solar collector application
Journal of Radiation Research and Applied Sciences,
Journal Year:
2025,
Volume and Issue:
18(2), P. 101511 - 101511
Published: April 17, 2025
Language: Английский