WSEAS TRANSACTIONS ON FLUID MECHANICS,
Год журнала:
2024,
Номер
19, С. 142 - 149
Опубликована: Апрель 2, 2024
This
paper
delves
into
the
intricate
interplay
between
chemical
and
thermal
radiation
in
context
of
an
unstable
magnetohydrodynamic(MHD)
oscillatory
flow
through
a
porous
medium.
The
fluid
under
investigation
is
presumed
to
be
incompressible,
electrically
conductive,
radiating
with
additional
influence
homogeneous
magnetic
field
applied
perpendicular
channel’s
plane.
Analytical
closedform
solutions
are
derived
for
momentum,
energy,
concentration
equations
providing
comprehensive
understanding
system’s
behavior.
systematically
explores
impact
various
factors,
presenting
their
effects
graphical
representations.
governing
partial
differential
(PDE)
boundary
layer
transformed
set
coupled
nonlinear
ordinary
(ODE)
using
closed-form
method.
Subsequently,
artificial
neural
network
(ANN)
these
ODEs,
obtained
results
validated
against
numerical
simulations.
temperature
profiles
exhibit
behavior
changes
parameter
(N),
revealing
insights
dynamic
response.
Furthermore,
uncovers
that
higher
heat
sources
lead
increased
profiles.
Additionally,
demonstrate
decrease
escalating
reaction
parameters,
reversal
observed
as
Schmidt
number
(Sc)
increases.
study
highlights
efficacy
ANN
model
highly
efficient
estimates
transfer
rates
from
engineering
standpoint.
innovative
approach
leverages
power
intelligence
enhance
our
complex
magnetohydrodynamics
media
flows.
Heat Transfer,
Год журнала:
2024,
Номер
54(1), С. 788 - 830
Опубликована: Окт. 3, 2024
Abstract
The
current
work
extensively
investigates
double‐diffusive
of
nano‐encapsulated
phase
change
material
in
a
thermal
storage
system
partially
filled
with
porous
foam.
generation
irreversibilities
and
the
influence
Soret/Dufour
magnetohydrodynamic
effects
are
also
considered.
circular
cold
cavity
contains
corrugated
hot
cylinder
covered
by
an
annular
considered
parameters
Rayleigh
number
(10
3
–10
5
),
fusion
temperature
(0.1–0.9),
Stefan
volume
concentration
nanoparticles
(0–0.05),
Darcy
−4
−1
).
Hartmann
(0–80)
undulations
inner
(3–9).
numerical
analysis
has
exploited
finite
element
approximations.
results
indicate
that
numbers
greatly
fluid
flow,
isotherms,
concentrations
melting/solidification
region.
great
on
region
while
there
is
no
evident
isotherms
where
both
Nusselt
Sherwood
around
5%
number.
In
contrast,
values
decreased
30%
decreasing
Da
from
0.1
to
10
.
Furthermore,
very
low
heat
transfer,
mass
transfer
Case Studies in Thermal Engineering,
Год журнала:
2023,
Номер
47, С. 103086 - 103086
Опубликована: Май 17, 2023
In
this
work,
a
modeling
approach
has
been
developed
for
describing
component
separation
by
selective
membrane
systems.
The
strategy
in
research
is
based
on
computational
fluid
dynamics
(CFD)
integrated
with
machine
learning
(ML)
to
reduce
the
costs
and
evaluate
possibility
of
ML
model
integration
CFD
models.
considered
case
study
membrane-based
molecular
removal
species
from
water.
was
performed
solve
mass
transfer
equations,
data
form
concentration
profiles
have
used
computations.
set
about
two
thousand
vectors,
each
which
contains
inputs
r
z
one
output
C
feed
channel
membrane.
Three
models,
Multi-Layer
Perceptron
(MLP),
Support
Vector
Machines
RBF
kernel
(RBF-SVM),
Decision
Tree
(DT)
were
chosen
since
they
anticipated
perform
well
provided
adjusting
their
hyper-parameters.
After
optimizing
results
carefully
checked
different
criteria.
All
three
models
showed
acceptable
R2
score
criteria
higher
than
0.9.
MAPE
decreased
3.57
×
10−3
improved
3.6
RMSE
criterion.
We
can
introduce
best
as
MLP
description
