MHD double diffusive flow analysis in a permeable cavity: An endothermic versus exothermic based study
International Communications in Heat and Mass Transfer,
Год журнала:
2025,
Номер
162, С. 108604 - 108604
Опубликована: Янв. 15, 2025
Язык: Английский
A multi-layer neural network-based evaluation of MHD radiative heat transfer in Eyring–Powell fluid model
Heliyon,
Год журнала:
2025,
Номер
11(3), С. e41800 - e41800
Опубликована: Янв. 18, 2025
In
the
modern
era,
artificial
intelligence
(AI)
has
been
applied
as
one
of
transformative
factors
for
scientific
research
in
many
fields
that
could
provide
new
solutions
to
extremely
complicated
and
complex
physical
models.
this
paper,
a
multi-layer
neural
network
combined
with
Bayesian
regularization
procedure
(MNNs-BRP)
is
utilized
evaluate
model
MHD
radiative
heat
non-uniform
heating
Eyring
Powell
fluid
(EPF-MHD-RHS).
The
mixed
convection
parameter,
Prandtl
number,
emission
or
immersion
parameter
are
studied
relation
momentum
transfer.
To
facilitate
analysis,
governing
partial
differential
equations
(PDEs)
converted
into
ordinary
(ODEs)
only
aid
similarity
transformations.
From
there,
dataset
created
later
trained,
tested,
validated
by
MNNs-BRP
efficient
estimating
robust
demonstrates
high
accuracy,
which
compares
well
benchmark
solutions.
Performances
confirmed
metrics
like
error
histograms,
mean
squared-error
(MSE)
check-ups,
regression
analysis
MSEs
all
over
interval
[10-09
-
10-04]
ensure
sustained
model.
obtained
outcomes
indicate
built
implemented
utilizing
offers
precise
performance
ranging
from
3.25E-13
5.41E-13
around
3.25E-13,
1.56E-11,
5.41E-13,
2.97E-12,
1.03E-11,
2.05E-12,
1.49E-12,
5.01E-12,
across
eight
different
circumstances,
suggesting
improved
capability
reliability
developed
predictive
After
careful
review
we
have
found
temperature
decreases
increase
Prandl
while
an
inverse
result
noticed
emission.
However,
velocity
increasing
trend
values
generation
absorption
parameter.
contrast
profile
decreasing
magnetic
field
stratification
This
work
on
integrating
AI
classical
dynamics
problem
entirely
paradigm
involves
smart
combination
computational
strategies
advanced
modeling
techniques.
Our
investigation
not
just
raising
bar
predicting
but
also
showing
how
can
truly
transform
entire
domain
mechanics
related
disciplines.
All
numerical
graphical
illustrations
attained
employing
AI-based
techniques
authenticates
solution
methodology
evaluation
problems.
Язык: Английский
Exploring conjugate heat transfer in Bingham fluid flow: A 3D computational approach incorporating double diffusion and the Papanastasiou model
Applied Thermal Engineering,
Год журнала:
2025,
Номер
unknown, С. 126500 - 126500
Опубликована: Апрель 1, 2025
Язык: Английский
Levenberg–Marquardt Analysis of MHD Hybrid Convection in Non-Newtonian Fluids over an Inclined Container
Eng—Advances in Engineering,
Год журнала:
2025,
Номер
6(5), С. 92 - 92
Опубликована: Апрель 30, 2025
This
work
aims
to
explore
the
magnetohydrodynamic
mixed
convection
boundary
layer
flow
(MHD-MCBLF)
on
a
slanted
extending
cylinder
using
Eyring–Powell
fluid
in
combination
with
Levenberg–Marquardt
algorithm–artificial
neural
networks
(LMA-ANNs).
The
thermal
properties
include
stratification,
which
has
higher
temperature
surface
than
surrounding
fluid.
mathematical
model
incorporates
essential
factors
involving
conventions,
layers,
heat
absorption/generation,
geometry
curvature,
properties,
magnetic
field
intensity,
and
Prandtl
number.
Partial
differential
equations
govern
process
are
transformed
into
coupled
nonlinear
ordinary
proper
changes
of
variables.
Datasets
generated
for
two
cases:
flat
plate
(zero
curving)
(non-zero
curving).
applicability
LMA-ANN
solver
is
presented
by
solving
MHD-MCBLF
problem
regression
analysis,
mean
squared
error
evaluation,
histograms,
gradient
analysis.
It
presents
an
affordable
computational
tool
predicting
multicomponent
reactive
non-reactive
thermofluid
phase
interactions.
study
introduces
application
algorithm-based
artificial
(LMA-ANNs)
solve
complex
flows
fluids
over
inclined
stretching
cylinders.
approach
efficiently
approximates
solutions
equations,
demonstrating
high
accuracy
reduced
effort.
Such
advancements
particularly
beneficial
industries
like
polymer
processing,
biomedical
engineering,
management
systems,
where
modeling
non-Newtonian
behaviors
crucial.
Язык: Английский
Entropy generation and heat transfer in a partly heated I-shaped porous enclosure with hybrid nanofluids under magnetic and radiative effects
Journal of Radiation Research and Applied Sciences,
Год журнала:
2025,
Номер
18(2), С. 101433 - 101433
Опубликована: Апрель 17, 2025
Язык: Английский
Hybrid Runge–Kutta and lattice Boltzmann methods: Three-dimensional study of magnetohydrodynamics effect on heat exchange of electronic devices
Physics of Fluids,
Год журнала:
2024,
Номер
36(12)
Опубликована: Дек. 1, 2024
This
study
explores
the
impact
of
magnetic
field
on
heat
transfer
and
entropy
generation
in
a
simulated
electronic
device
using
magnetohydrodynamic
principles
through
three-dimensional
hybrid
Runge–Kutta
lattice
Boltzmann
method.
By
varying
Rayleigh
number
(Ra)
from
103
to
106
Hartmann
(Ha)
between
0
100,
research
evaluated
influence
these
parameters
average
Nusselt
(⟨Nu⟩),
exchange
ratio
(R),
within
confined
cavity.
The
results
demonstrated
that
higher
Ra
values,
particularly
for
≥105,
significantly
enhance
convective
transfer,
as
reflected
by
an
increase
⟨Nu⟩.
However,
introducing
(Ha
=
50,
100)
diminishes
this
effect
damping
fluid
motion,
resulting
reduction
increases
with
Ra,
reaching
peak
value
0.93
Ha
100
105,
indicating
improved
dissipation
under
influence.
In
terms
generation,
at
low
(Ra
103),
thermal
conduction
is
predominant
mechanism,
primarily
generated
due
effects.
As
106,
system
shifted
toward
convection-dominated
regime,
where
viscous
effects
becomes
more
significant.
Under
stronger
fields,
emerges
dominant
factor,
further
increasing
energy
dissipation.
These
suggested
fields
can
be
strategically
applied
optimize
management
devices
controlling
both
generation.
effectiveness
approach,
however,
highly
dependent
specific
flow
conditions
strength
field.
Язык: Английский
A review on magnetic permeability in heat and fluid flow characteristics: Applications in magnetized shielding
AIP Advances,
Год журнала:
2024,
Номер
14(12)
Опубликована: Дек. 1, 2024
Magnetic
permeability
as
a
material
property
has
significant
impact
on
the
characteristics
of
heated
surface
where
induction
heating
or
magneto-thermal
systems
are
involved.
In
heat
and
fluid
flow
mechanism
is
used,
magnetic
crucial
impact.
Materials-like
ferromagnetic
materials
with
high
enhance
eddy
current
formation
can
concentrate
field
during
processes.
These
currents
lead
to
Joule
in
terms
electric
induced
within
conductor
by
changing
field.
also
impacts
temperature
profile
material.
Materials
extraordinary
due
concentration
cause
localized
heating.
The
variable
properties
presence
non-uniform
distribution
throughout
medium.
magnetohydrodynamics
region
permeability,
some
perform
magnetostrictive
impacts;
therefore,
they
change
shape
size
under
influence
role
along
multifaceted
system
an
electromagnetic
involved
affects
how
generated,
distributed,
dissipated.
It
pertinent
mention
that
involved,
directly
efficiency
uniform
Therefore,
understanding
controlling
important
design
rely
exact
thermal
management,
such
shielding,
devices,
Язык: Английский