Heliyon,
Journal Year:
2024,
Volume and Issue:
10(15), P. e34888 - e34888
Published: July 22, 2024
This
study
employs
the
Hybrid
Analytical-Numerical
(HAN)
method
to
investigate
steady
two-dimensional
magnetohydrodynamic
(MHD)
nanofluid
flow
over
a
permeable
wedge.
Analyzing
hyperbolic
tangent
flow,
governing
time-independent
partial
differential
equations
(PDEs)
for
continuity,
momentum,
energy,
and
concentration
transform
into
set
of
nonlinear
third-order
coupled
ordinary
(ODEs)
through
similarity
transformations.
These
ODEs
encompass
critical
parameters
such
as
Lewis
Prandtl
numbers,
Brownian
diffusion,
Weissenberg
number,
thermophoresis,
Dufour
Soret
magnetic
field
strength,
thermal
radiation,
power
law
index,
medium
permeability.
The
explores
how
variations
in
these
impact
velocity
field,
skin
friction
coefficient,
Nusselt,
Sherwood
numbers.
Noteworthy
findings
include
sensitivity
fluid
like
wedge
angle,
permeability,
melting
heat
transfer.
coefficient
experiences
significant
increase
with
specific
parameter
changes,
while
Nusselt
numbers
remain
relatively
constant.
local
Reynolds
number
significantly
affects
less
pronounced
on
coefficient.
study's
uniqueness
lies
employing
analytical
HAN
extracting
recent
insights
from
results.
Scientific Reports,
Journal Year:
2025,
Volume and Issue:
15(1)
Published: Feb. 8, 2025
This
article
investigates
solar
energy
storage
due
to
the
Jeffrey
hybrid
nanofluid
flow
containing
gyrotactic
microorganisms
through
a
porous
medium
for
parabolic
trough
collectors.
The
mechanism
of
thermophoresis
and
Brownian
motion
graphene
silver
nanoparticles
are
also
encountered
in
suspension
water-based
heat
transfer
fluid.
have
ability
move
an
upward
direction
mixture,
which
enhances
nanoparticle
stability
fluid
mixing
suspension.
Mathematical
modeling
governing
equations
uses
conservation
principles
mass,
momentum,
energy,
concentration,
microorganism
concentration.
non-similar
variables
introduced
dimensional
get
non-dimensional
ordinary
differential
equations.
Cash
Carp
method
is
implemented
solve
artificial
neural
network
developed
using
Levenberg
Marquardt
algorithm.
Numerical
findings
corresponding
diverse
parameters
influencing
presented
graphs.
thermal
profiles
observed
be
enhanced
with
escalation
Darcy
Forchheimer
parameters.
And
Nusselt
number
Deborah
retardation
time
parameter.
Entropy
generation
reduces
enhancement
Solar
best
renewable
source.
It
can
fulfill
requirements
growth
industries
engineering
applications.
Numerical Heat Transfer Part A Applications,
Journal Year:
2024,
Volume and Issue:
unknown, P. 1 - 20
Published: May 22, 2024
The
use
of
magnetohydrodynamic
ternary
nanofluid
flow
for
heat
transfer
is
essential
in
various
industrial
and
commercial
applications.
This
work
examines
over
cone
wedge
shapes
with
Sodium
Alginate-based
flow,
considering
the
effects
activation
energy
exothermic/endothermic
processes.
Using
similarity
transformations,
controlling
set
partial
differential
equations
converted
into
a
network
interconnected
nonlinear
ordinary
equations.
Numerical
solutions
using
Runge-Kutta
Fehlberg
4th
5th
order
method
shooting
approach
offer
insights
several
dimensionless
factors.
outcomes
show
that
magnetic
field
parameter
crucial
lowering
fluid
velocity
within
more
efficiently
than
wedge.
Due
to
considerations,
shape
notably
impacts
transmission
exothermic
reactions,
but
geometry
effective
endothermic
reactions.
Concentration
profiles
rise
fall
increasing
chemical
reaction
rates.
rate
thermal
distribution
48.68%
case
35.57%
while
mass
higher
geometry,
about
7.83%
19.27%
case.
present
study
has
many
applications,
including
optimizing
processes
sectors
such
as
systems,
generation,
electronics.
Additionally,
it
may
be
used
guide
design
magnetically
affected
systems
provide
assistance
uses
engineering.
Case Studies in Thermal Engineering,
Journal Year:
2024,
Volume and Issue:
61, P. 104959 - 104959
Published: Aug. 10, 2024
This
study
explores
the
influence
of
thermal
radiation
and
heat
source
on
magnetized
flow
micropolar
nanofluid
through
a
Stretchable
Sheet
in
presence
mobile
microbes.
The
microorganisms
adds
biological
dimension
to
problem,
affecting
fluid
dynamics
transfer,
which
are
central
this
investigation.
To
motivate
is
induced
by
Darcy
porous
exponentially
stretching
sheet
with
generalized
boundary
conditions.
A
regression
analysis
conducted
analyze
interplay
various
parameters
transfer
characteristics.
Additionally,
similarity
transformations
implemented
transform
set
partial
differential
equations
(PDEs)
into
ordinary
(ODEs).
resulting
solved
numerically
using
shooting
approach
via
bvp4c
platform
Matlab.
model
quantifies
impact
each
parameter
their
interactions
field,
temperature
distribution,
effects.
Furthermore,
involved
flow,
energy,
volumetric
concentration,
density
microbes,
micro-rotations
distribution
analyzed
discussed
graphs,
literature,
tables.
findings
research
crucial
for
engineering,
industrial,
pharmaceutical
applications,
including
biofilm
formation,
geothermal
energy
extraction,
wastewater
treatment
processes.
