Journal of Porous Media,
Journal Year:
2024,
Volume and Issue:
28(1), P. 1 - 17
Published: May 24, 2024
The
proper
elimination
of
wastewater
is
crucial
for
many
industrial
and
ecological
networks.
Preventing
analyzing
the
release
chemical
contaminants
into
fluid
assets
goal
current
study.
In
order
to
achieve
this,
non-Newtonian
hybrid
nanofluids
(NNNF)
flowing
under
influence
pollutant
discharge
concentration
(PDC)
through
a
permeable
vertical
Riga
sheet
investigated.
Two
different
types
NNNF,
second-grade
(SG)
Walter's
B
(WB)
fluids,
have
been
taken
consideration.
titanium
aluminum
vanadium
(Ti<sub>6</sub>Al<sub>4</sub>V)
AA7075,
also
known
as
aviation
aircraft
nanoparticles
(NPs),
are
dispersed
in
sodium
alginate
(C<sub>6</sub>H<sub>9</sub>NaO<sub>7</sub>)
synthesize
nanofluid
(Hnf).
flow
equations
renovated
non-dimensional
form
by
employing
similarity
variable
approach.
results
numerically
obtained
ND-solve
technique
coupled
with
shooting
method.
numerical
findings
evaluated
previously
published
research
validation
purposes.
studies
exhibit
more
compatibility
previous
research.
It
has
noticed
from
graphical
that
Hnf
temperature
falls
off
rising
numbers
Ti<sub>6</sub>Al<sub>4</sub>V
AA7075-NPs.
intensifying
AA7075
alloys
C<sub>6</sub>H<sub>9</sub>NaO<sub>7</sub>-based
improves
energy
transmission
rate
3.49%
7.95%
(SG
nanofluid),
3.59%
10.95%
Hnf),
3.81%
8.76%
(WB
4.68%
13.52%
Hnf).
Case Studies in Thermal Engineering,
Journal Year:
2024,
Volume and Issue:
56, P. 104229 - 104229
Published: March 14, 2024
This
article
exhibits
a
brief
study
of
magneto
ternary
hybrid
nanofluid
flow
with
thermophoretic
particle
deposition
and
porous
medium
based
on
the
extended
version
model,
known
as
Yamada-Ota
Hamilton
Crosser
models.
Thermophoretic
deposition,
which
is
important
in
both
aero-solution
electrical
engineering,
one
most
fundamental
methods
for
transferring
small
particles
across
heat
gradient.
suggested
model's
goal
to
evaluate
how
well
Hamilton-Crosser
Yamada-Ota,
two
trihybrid
models,
perform.
Advanced
transfer
systems,
particular
creation
effective
cooling
heating
technologies,
may
benefit
from
this
research.
Researchers
can
develop
more
efficient
exchangers,
boost
thermal
management
electronic
devices,
increase
energy
efficiency
industrial
processes
by
better
understanding
behave
complicated
systems
under
various
conditions.
By
using
required
similarity
variables,
MATLAB
solver
bvp4c
package
handles
system
ODEs
acquired
leading
PDEs
arrive
at
numerical
solution.
The
relevant
parameters'
effects
fields
have
been
graphically
explained.
results
show
that
when
inter-phase
parameter
value
grows,
profile
rate
decrease
liquid
phase.
With
regard
mass
effectiveness,
model
performs
than
model.
Engineering Applications of Computational Fluid Mechanics,
Journal Year:
2024,
Volume and Issue:
18(1)
Published: April 17, 2024
In
this
work,
computational
intelligence
methodologies
are
used
to
investigate
the
trihybrid
nanofluid,
a
new
theoretical
model
with
remarkable
thermal
transmission
properties
enhance
liquid
performance.
The
nanostructure
Cu,
Al2O3,
and
TiO2
were
immersed
in
base
(C2H6O2)
produce
(Cu
+
Al2O3
TiO2/C2H6O2)
nanofluid.
Darcy-Forchheimer
porous
medium
over
stretching
Riga
sheet,
study
examines
electromagnetic
ternary
hybrid
nanofluid
flow
under
various
slip
situations.
takes
into
account
complex
interactions
between
number
of
variables,
including
as
viscous
dissipation,
radiation,
heat
sources,
chemical
reactions.
Similarity
transformations
convert
partial
differential
equations
for
flow,
energy,
concentration
nonlinear
ordinary
equations.
highly
problem
solved
numerically
use
techniques
from
bvp4c
approach.
results
method
reference
dataset
required
Levenberg-Marquardt
backpropagation
neural
networks
(LMBNN).
network
performance
is
validated
using
regression
analysis,
mean
square
errors,
error
histogram
data.
problem's
consistency
precision
evaluated
absolute
error,
which
given
each
instance
at
around
10−06–10−08,
10−05–10−10
10−06
05–10−09.
order
reduce
fluid
dynamics
system's
numerical
solutions
have
been
taken
consideration.
Using
comparative
configurations
MSE,
histograms,
state
transitions,
correlation,
regression,
reliability
competence
stochastic
technique
verified.
International Journal of Thermofluids,
Journal Year:
2024,
Volume and Issue:
23, P. 100788 - 100788
Published: Aug. 1, 2024
This
study
offers
a
numerical
assessment
of
unsteady
laminar
flow,
heat
and
mass
transfer
conventional
hybrid
nanofluid
considering
activation
energy
which
is
noticed
in
chemical
processes.
Further,
non
linear
radiation
bioconvection
flow
with
first
order
slip
also
accounted.
Nanoparticles
as
Cu
Al2O3
the
base
fluid
H2O
are
included
this
analysis.
Similarity
transformation
applied
to
governing
model
equations
reduce
dimensionless
form
"bvp4c"
MATLAB
solver,
get
outputs
problem.
Validation
outcomes
done
by
an
analytical
approach
optimal
auxiliary
function
method
(OAFM).
analysis
reports
better
thermal
characteristics
when
volume
fractions
0.0
≤
φ1
0.5
φ2
both
nanoparticles
enhanced.
Results
for
present
interpreted
numerically
graphically
distinct
enhanced
values
parameters
physical
quantities.
The
high
resistance
offered
velocity
(0
Sv1
1.0)
Forchheimer
parameter
Fr
10)
cause
drop
profiles.
It
that
Peclet
number
Pe
0.7)
leading
(χ(η)
=
0.139972
χ(η)
0.0817063,
at
η
1)
density
distribution
motile
microorganisms.
Scientific Reports,
Journal Year:
2025,
Volume and Issue:
15(1)
Published: Jan. 4, 2025
Fluid
flow
across
a
Riga
Plate
is
specialized
phenomenon
studied
in
boundary
layer
and
magnetohydrodynamic
(MHD)
applications.
The
magnetized
surface
used
to
manipulate
characteristics
control
fluid
properties.
Understanding
the
behavior
of
over
critical
many
applications,
including
aerodynamics,
industrial,
heat
transfer
operations.
unsteady
Micropolar
nanofluid
(UMNF)
vertically
oriented,
nonlinearly
stretchable
sheet
examined
present
study.
effects
variable
thermal
conductivity,
thermophoretic
force,
Brownian
diffusion
on
are
analyzed.
has
been
expressed
form
nonlinear
system
PDEs
(partial
differential
equations),
which
reduced
into
non-dimensional
ordinary
(ODEs)
by
employing
similarity
transformation
approach.
dataset
for
training
ANNs
using
Levenberg–Marquardt
backpropagation
(LMBP)
technique
generated
numerical
simulation
methods.
influence
physical
constraints
dimensionless
temperature,
concentration,
microrotation,
velocity
distributions
graphically
displayed
discussed.
Numerical
results
skin
friction,
Sherwood,
Nusselt
numbers
presented
tabular
form.
outcomes
compared
both
published
experimental
validity
purposes.
It
can
be
noticed
that
rate
enhanced
with
rising
Hartmann
number,
buoyancy
slip
parameter.
UMNF
model
validated,
tested,
trained
an
average
error
10−9,
ensuring
high
accuracy
energy,
velocity,
microorganism
motility,
concentration
predictions.
