Artificial neural network-based study of entropy optimization in Johnson-Segalman nanofluids through a peristaltic channel
Physics of Fluids,
Год журнала:
2025,
Номер
37(3)
Опубликована: Март 1, 2025
This
study
includes
an
artificial
neural
network
(ANN)
analysis
of
irreversibility
in
Johnson–Segalman
nanofluid
flow
through
a
peristaltic
channel
under
the
influence
motile
microorganisms,
viscous
dissipation,
and
slip
effects.
The
nonlinear
partial
differential
equations
are
transformed
into
ordinary
by
applying
lubrication
approximation
Debye–Hückel
transformations
with
help
suitable
dimensionless
variables.
resultant
solved
analytically
using
homotopy
perturbation
method
(HPM)
linearizing
assuming
series
solution.
linear
subproblems
from
HPM
successively
to
find
symbolic
solution
MATLAB
utilizing
dsolve
command.
solutions
for
velocity,
temperature,
concentration,
bioconvection
plotted
against
different
physical
parameters
visualize
their
behavior
profiles.
Moreover,
data
thermal,
profiles
extracted
train
ANN
model.
model
is
trained
Python
TensorFlow
version
2.17.0.,
it
consists
one
input
layer,
two
hidden
layers
(each
64
neurons),
output
layer.
ReLU
activation
function
used
layers,
Adam
optimizer
employed
our
Performance
metrics
such
as
mean
square
error
(MSE),
regression
(R2),
histogram,
gradient,
relative
error,
absolute
computed
monitor
performance
Results
show
that
demonstrates
promising
accuracy
predicting
learning
momentum
findings
indicate
magnetic
field
Prandtl
number
significantly
thermal
profile,
while
velocity
profile
affected
Darcy
parameter.
work
has
potential
applications
biomedical
engineering,
particularly
design
microfluidic
devices
targeted
drug
delivery,
also
holds
relevance
environmental
engineering.
Язык: Английский
Thermal performance of radiative hydromagnetic peristaltic pumping of hybrid nanofluid through curved duct with industrial applications
Case Studies in Thermal Engineering,
Год журнала:
2024,
Номер
unknown, С. 105498 - 105498
Опубликована: Ноя. 1, 2024
Язык: Английский
Thermodynamic Analysis and Entropy Generation of Electroosmotic Tetra-Hybrid Nanoparticle Transport in Complex Biological Transport
Results in Engineering,
Год журнала:
2025,
Номер
25, С. 104308 - 104308
Опубликована: Фев. 12, 2025
Язык: Английский
Entropy modeling in bioconvective stratified magnetohydrodynamic cross hybrid nanofluid flow with thermal radiation
Journal of Radiation Research and Applied Sciences,
Год журнала:
2025,
Номер
18(2), С. 101415 - 101415
Опубликована: Март 14, 2025
Язык: Английский
Numerical simulation for thermal transport in the chemically reactive flow of bioconvective Reiner-Rivlin nanofluid with magnetic field
Journal of Thermal Analysis and Calorimetry,
Год журнала:
2024,
Номер
149(22), С. 13117 - 13128
Опубликована: Окт. 12, 2024
Язык: Английский
A study of thermal and nonlinear radiative aspects in peristalsis of Cu–H2O through compliant wall conduits
AIP Advances,
Год журнала:
2024,
Номер
14(7)
Опубликована: Июль 1, 2024
Insertion
of
nanoparticles
in
ordinary
materials
to
examine
the
performance
their
improved
thermal
abilities
fluid
flow
is
hot
topic
present
period
scientific
research.
In
addition,
various
engineering,
physiological,
and
medical
applications,
e.g.,
heat
exchangers,
hybrid
vehicles,
war
arms,
drug
deliveries,
different
medicines
nanoparticles,
are
evident.
Peristaltic
mechanism
has
a
vital
role
as
material
carrier
engineering
physiological
processes.
Thus,
this
attempt
accounted
study
via
rotating
peristaltic
channel
presence
magnetohydrodynamics
compliant
walls
aspects.
effects
slip,
Hall,
generation/absorption,
non-linear
radiation
also
considered.
Furthermore,
equations
modeled
using
definition
conservation
laws.
Expression
for
effective
base
quantities
mentioned.
The
formulation
reduced
by
incorporating
low
Reynolds
number
approximation
higher
wavelength
assumption.
obtained
system
equation
handled
through
numerical
procedure
called
shooting
algorithm.
Then,
solution
used
plot
behavior
interest
against
dimensionless
parameters.
result
indicates
that
axial
secondary
velocities
face
negligible
resistance
wall
elastic
properties,
thus,
enhance
where
damping
property
produces
maximum
with
decay
both
velocities.
second-order
velocity
slip
parameter
disturbs
symmetry
field.
Due
volume
fraction
copper
huge
collision
between
particles
evident,
response
decay,
temperature
enhances
because
larger
amount
collision.
For
effects,
rate
transfer
due
which
system’s
declines.
Язык: Английский
Temperature-dependent thermal conductivity and viscosity effect on the pressure-gravity flow of an engine oil-based hybrid nanofluid in an inclined channel
Partial Differential Equations in Applied Mathematics,
Год журнала:
2024,
Номер
unknown, С. 101019 - 101019
Опубликована: Дек. 1, 2024
Язык: Английский