Modern Physics Letters B,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Dec. 4, 2024
The
transport
phenomenon
in
the
presence
of
magnetic
field
has
diverse
application
living
structures,
biotechnology
and
chemical
environmental
engineering.
Biomedical
applications
include
examples
computational
biology,
replacement
tissue,
drug
delivery,
advance
medical
imaging,
repairing
bones,
complex
liver
heart
surgeries
kidney
transplant.
Motivated
by
human
physiology,
peristaltic
Carreau-hybrid
nanomaterial
through
a
curved
channel
is
studied.
hybrid
nanofluid
supported
with
silver
[Formula:
see
text]
copper
oxide
nanoparticles
subject
to
ethylene
glycol
text]-based
liquid.
wavy
nature
physiological
duct
inspired
model
problem
channel.
basic
governing
laws
are
utilized
for
mathematical
modeling
dimensionless
variables
used
formulation.
simplified
pattern
been
revealed
assumptions
long
wavelength
as
well
creeping
flow
constricts.
computations
obtained
implanting
Newton–Dirichlet
Solve
(ND)
algorithm.
Comparative
thermal
observations
predicted
(Ag–CuO/EG).
different
heat
transfer
features
plotted
against
several
involved
parameters
presented
graphically.
Case Studies in Thermal Engineering,
Journal Year:
2024,
Volume and Issue:
61, P. 104929 - 104929
Published: Aug. 5, 2024
Magnetized
non-Newtonian
models
nowadays
have
attracted
many
researchers
because
it
is
an
exciting
field
in
the
collaboration
of
material
science,
fluid
dynamics,
and
applied
physics.
Their
unique
properties
adaptability
render
them
invaluable
across
various
technological
industrial
applications,
promising
further
innovations
as
research
advances.
This
unveils
intricate
rheological
thermal
behavior
magnetized
nanofluids
undergoing
peristaltic
motion.
The
study
aims
to
enhance
engineering
design
techniques
for
optimal
biophysiological
performance
by
incorporating
second-order
slip,
convective
conditions,
temperature-dependent
conductivity.
Buongiorno
nanofluid
model
adopted
investigate
heat
mass
transfer
phenomena,
while
Prandtl
employed
comprehend
complex
characteristics
fluid.
A
long-wavelength
approximation
with
a
low
Reynolds
number
was
simplify
governing
equations.
Analytical
solutions
been
obtained
solving
nonlinear
transformed
equations
using
Homotopy
perturbation
technique.
findings
are
validated
previous
literature
indicate
that
magnetic
fields
play
key
role
controlling
flow
pumping
rates.
Moreover,
interplay
between
rheology
parameters
significantly
affects
temperature
distribution
patterns.
An
increase
species
Biot
thermophoresis
parameter
leads
improved
concentration
behavior.
Conversely,
reversible
trend
noted
augmentation
number,
Eckart
variable
conductivity,
Brownian
motion
parameters.
provides
new
insights
into
magnetohydrodynamic
transport
mechanisms
systems.
modeling
approach,
coupled
analysis,
lays
background
circulation,
oxygen
delivery,
waste
removal,
nutrient
biomedical
applications.
Specifically,
important
advancing
pumps
tailored
targeted
drug
delivery
optimizing
within
gastrointestinal
tracts.
Physics of Fluids,
Journal Year:
2025,
Volume and Issue:
37(2)
Published: Feb. 1, 2025
Endoscopic
treatment
of
gastrointestinal
and
respiratory
diseases
increases
substantially
in
the
current
era,
due
to
its
minimally
invasive
nature.
Advancement
endoscopic
instruments
is
also
main
factor
this
field
that
facilitate
safe
healthy
treatment.
Nanomaterials
are
more
effective
enhance
recovery
process
patients.
Therefore,
nanomaterials
used
drug
delivery
procedures.
External
magnetic
devices
for
numerous
treatments.
Usually,
treatments,
especially
compression,
anchoring,
guiding
nanomaterial,
gives
better
results
previously
difficult.
Heat
produced
these
procedures;
therefore,
Ohmic
heating
viscous
dissipation
effect
studied.
The
role
thermal
radiation
maintain
cooling
discussed
detail.
Mathematical
model
designed
presence
effects.
Walls
tract
lubricated;
slip
constraints
applied.
Lubrication
approach
simplify
system
equations.
resulting
nonlinear
equations
boundary
solved
via
numerical-differential
Solve
technique
with
help
Mathematica
software.
Numerical
analysis
performed
discuss
temperature,
flow
pattern
pressure
gradient
at
wall.
In
article,
we
studied
applications
magneto
such
as
cancer,
stopping
bleeding
ulcer,
motility
disorder
congenital.
indicate
copper
efficient
control
temperature
efficiency
process.
Further
prominent
phenomena
nanofluid.
Physics of Fluids,
Journal Year:
2025,
Volume and Issue:
37(2)
Published: Feb. 1, 2025
This
study
investigates
the
numerical
analysis
of
curvature-dependent
symmetric
channel
walls
filled
with
porous
media,
focusing
on
various
flow
characteristics
using
Artificial
Neural
Networks
optimized
Levenberg–Marquardt
Backpropagation
Scheme
(ANNs-BLMS).
The
explores
Electrically
Conducting
Peristaltic
Propulsion
Carreau–Yasuda
Ternary
Hybrid
Nanofluids
(ECPPCY-THNFs)
propagating
through
sinusoidal
wave
trains
within
a
curved
conduit.
To
streamline
analysis,
governing
equations
have
been
simplified
under
specific
assumptions
lubrication
theory.
are
solved
Adam
and
three-stage
Lobatto
IIIa
formula
techniques
to
generate
dataset
spanning
walls,
covering
four
cases
nine
scenarios
ECPPCY-THNFs.
encompasses
ECPPCY-THNFs,
step
size
0.02.
As
result,
domain
is
divided
into
131
grid
points
for
velocity
temperature
profiles
71
rates
heat
transfer
analysis.
three
parts:
10%
training,
testing,
80%
validation.
apply
proposed
methodology,
constructed
by
varying
Hartmann
number,
rate,
Darcy
curvature
parameter,
radiation
parameter.
Subsequently,
an
artificial
intelligence-based
algorithm
employed
derive
solution
expressions
fields
analyze
dataset.
results
presented
detailed
tabular
graphical
illustrations.
Heat
performed
model,
findings
validated
multiple
techniques,
including
error
histograms,
regression
plots,
mean
square
(MSE),
time
series
autocorrelation,
state
transition.
A
comparative
between
two
methods
Intelligence
(AI)-generated
predictions
also
undertaken.
obtained
AI-based
ANN-BLMS
framework
confirm
reliability
accuracy
methodology
in
effectively
solving
demonstrate
that
parameter
has
considerable
effect
mechanical
thermal
aspects
flow,
therefore,
it
must
be
incorporated
modeling
flows
channels.
Additionally,
rate
7.5
critical
value,
representing
minimum
required
sustain
fluid
channel.
When
below
this
increase
decrease
profile.
However,
when
exceeds
profile
shows
opposite
trend.
Furthermore,
ternary
hybrid
nanofluids
show
concave-up
shapes
(Θ)
values
greater
than
concave-down
less
7.5.
highest
lowest
velocities
occur
near
center
Θ>7.5
Θ<7.5,
respectively.
Moreover,
coefficient
determination
values,
used
as
performance
indicators,
found
unity
(1.000)
ANN
model.
MSE
histogram
2.8467
×
10−11
−3.05
10−7,