Hybrid
nanofluids
find
extensive
applications
across
various
fields,
including
engineering,
manufacturing,
and
biomedicine.
Inspired
by
these
practical
uses,
the
current
research
aimed
to
explore
heat
transportation
on
a
Riga
sensor
device.
This
study
investigates
dispersion
movement
of
nanoparticles
using
carbon
nanotubes
(CNTs),
specifically
particles
Single
Wall
Carbon
Nanotubes
(SWCNT)
Multi-Wall
Nano
Tubes
(MWCNT).
Through
numerical
simulations
in-depth
analysis,
this
unravels
intricate
interactions
involving
source/sink
effects,
viscous
dissipation,
radiative
influences,
role
CNTs
nanoparticles.
To
standardize
governing
equations
their
corresponding
boundary
conditions,
necessary
similarity
transformations
are
utilized.
Subsequently,
transformed
ordinary
differential
(ODEs)
handled
bvp5c
solver
in
MATLAB
environment.
The
behavior
characterizing
factors
is
demonstrated
briefly
through
graphs
tables
validating
earlier
established
outcomes.
Partial Differential Equations in Applied Mathematics,
Journal Year:
2023,
Volume and Issue:
8, P. 100570 - 100570
Published: Oct. 14, 2023
The
current
study
explores
the
behavior
of
particle
shape
on
radiative
flow
Casson
hybrid
nanofluid
towards
an
expanding/contracting
convective
sheet.
under
onsideration
is
a
water-based
comprising
carbon
nanotubes
(CNTs)
with
shapes.
factor
employed
to
determine
its
significance
characteristic.
standard
equations
for
and
thermal
transportation
are
derived
based
conservation
laws,
including
simultaneous
effects
viscous
dissipation,
radiation,
along
uniform
heat
source.
model
pronounce
rheological
characteristic
nanofluid,
taking
into
account
non-Newtonian
nature
fluid.
To
further
explore
system,
influence
multiple
slip
inclined
magnetic
field
considered.
Multiple
occur
due
presence
velocity,
thermal,
concentration
slips
at
solid-fluid
interface.
introduced
investigate
magnetohydrodynamic
(MHD)
characteristics.
Numerical
simulations
performed
using
appropriate
numerical
techniques
solve
resulting
system
equations.
various
parameters,
such
as
shape,
inclination,
thoroughly
analyzed.
main
findings
this
works
are;
interaction
CNTs
that
enhances
conductivity
boost
up
transfer
rate
further,
concentrations
enhance
fluid
temperature
significantly.
observation
indicates
increasing
both
velocity
distribution.
Scientific Reports,
Journal Year:
2024,
Volume and Issue:
14(1)
Published: Oct. 26, 2024
Artificial
Neural
Networks
are
incredibly
efficient
at
handling
complicated
and
nonlinear
mathematical
problems,
making
them
very
useful
for
tackling
these
challenges.
neural
networks
offer
a
special
computational
architecture
that
is
extremely
valuable
in
disciplines
like
biotechnology,
biological
computing,
fluid
dynamics.
The
present
work
investigates
the
applicability
of
back-propagation
artificial
conjunction
with
Levenberg-Marquardt
algorithm
evaluating
heat
transmission
hybrid
nanofluids.
This
focuses
on
analysis
MgO
+
GO/EG
nanofluid's
steady
mixed
convection
flow
over
an
exponentially
stretched
sheet,
considering
multiple
slip
boundary
conditions,
thermal
conductivity,
generation,
radiation.
A
system
ordinary
differential
equations
produced
from
basic
associated
partial
by
performing
proper
exponential
similarities
modifications.
For
generating
benchmark
datasets,
resulting
processed
employing
bvp4c
method.
Considering
datasets
set
aside
training
(70%),
testing
(15%),
validation
algorithm,
which
employs
networks,
implemented.
accuracy
suggested
strategy
problems
verified
utilizing
mean
squared
error,
error
histograms,
regression
analysis,
all
used
to
evaluate
methodology.
Outstanding
agreement
seen
when
ANN
outputs
compared
numerical
results.
properties,
including
temperature,
velocity,
concentration
profiles,
shown
graphically
numerically.
practical
purposes,
it
therefore
essential
analyze
transfer
nanofluids
extending
shrinking
surfaces
under
source
scenarios.
Hybrid
nanofluid
have
wide
range
industrial
applications,
such
as
medication
delivery,
manufacturing,
microelectronics,
nuclear
plant
cooling,
marine
engineering.
Case Studies in Thermal Engineering,
Journal Year:
2023,
Volume and Issue:
45, P. 103000 - 103000
Published: April 18, 2023
Investigation
on
hybrid
nanofluids
has
increased
significantly,
and
findings
indicate
that
these
fluids
are
effective
heat
transfer
for
industrial
applications.
The
thermal
conductivity
of
nanoparticles,
particle
volume
fractions,
mass
flow
rates
play
a
major
role
in
the
enhancement
nanofluids.
transport
only
depends
nanoparticles
when
fractions
constant.
Therefore,
purpose
this
article
is
to
analyze
Zn−TiO2/H2O
nanofluid
past
an
inclined
shrinking
surface.
PDEs
model
converted
into
ODEs
by
using
similarity
conversions.
mathematical
problem
tackled
numerically
employing
bvp4c
solver
Matlab
software.
impacts
controlling
parameters
fluid
velocity,
temperature
distribution,
skin
friction
coefficient,
local
Nusselt
number
studied
graphically
depicted.
obtained
results
reveal
mixed
convection
parameter
found
enhance
drag
rate
upper
branch
while
it
reduces
lower
branch.
Moreover,
kinetic
energy
as
sink/source,
Eckert
number,
ratio
increase,
causing
distribution
rise
both
branches.
Numerical Heat Transfer Part B Fundamentals,
Journal Year:
2024,
Volume and Issue:
unknown, P. 1 - 21
Published: April 18, 2024
In
a
solar
collector
system,
absorbing
radiation
through
panel
and
transforming
it
into
heat,
the
role
of
nanofluid
is
vital.
However,
combined
effect
CuO
Cu
water
hybrid
efficiently
carries
fascinated
heat
away
from
collector.
Further,
helps
improve
in
efficiency
thermal
system
by
enhancing
transfer
losses.
Based
upon
advanced
properties,
study
aims
at
behavior
conducting
comprised
nanoparticles
nonlinear
stretching
surface
filled
with
porous
matrix.
Essentially,
use
dissipative
convective
boundary
conditions
are
important
properties.
The
assemble
diversified
similarity
rules
useful
for
transformation
governing
equations
dimensionless
form.
numerical
technique
help
built-in
function
bvp4c
MATLAB
employed
solution
designed
model
equipped
different
constraints.
A
robust
statistical
analysis
i.e.
response
methodology
(RSM)
variance
(ANOVA)
used
to
optimize
rate.
Sensitivity
associated
factors
united
obtained
presented
briefly.
Finally,
parametric
describe
following
pattern
graph.
outcomes
are;
enhanced
volume
fraction
augments
fluid
velocity
as
well
temperature
significantly.
Thermal
has
influential
transport
phenomenon
nanofluid.
Numerical Heat Transfer Part A Applications,
Journal Year:
2024,
Volume and Issue:
unknown, P. 1 - 29
Published: Feb. 18, 2024
The
numerical
and
statistical
investigations
of
Al2O3-TiO2-Cu/water
ternary
hybrid
nanofluid
in
MHD
stagnation-point
flow
over
a
permeable
radially
shrinking
disk
are
conducted
the
current
study.
Thermal
radiation
convective
boundary
condition
also
considered.
investigation
governing
equations
conditions
is
carried
out
using
bvp4c
solver
Matlab.
In
this
study,
wall
shear
stress
produced
by
31.89%
22.65%
higher
than
nanofluid,
respectively.
At
same
time,
heat
transfer
rate
about
28.39%
25.46%
addition,
increment
suction
magnetic
parameters
raises
local
skin
friction
coefficient
Nusselt
number.
Meanwhile,
augmentation
thermal
parameter
Biot
number
improves
temperature
profile
With
desirability
99.75%,
maximized
at
0.938137
when
Rd=0.7,
Bi=0.7,
Ec=0.003,
M=0.5.
Results in Engineering,
Journal Year:
2023,
Volume and Issue:
18, P. 101227 - 101227
Published: June 1, 2023
The
goal
of
current
research
is
to
determine
the
laminar
boundary
layer
problem
for
two-dimensional
flow
ternary
dusty
nanoparticles
through
a
porous
stretching/shrinking
sheet
in
presence
radiation
and
mass
transpiration.
Generalized
partial
differential
equations
are
converted
nonlinear
ordinary
after
demonstrating
an
appropriate
similarity
transformation.
Exact
solutions
subsequently
provided
resulting
system
equations.
development
nanofluids
has
significantly
improved
heat
transmission
process
manufacturing
industrial
applications,
as
well
nanotechnology
research.
influence
various
interesting
parameters
on
transfer
analyzed
discussed
detail
plotted
graphs.
It
was
found
that
basic
admit
two
phases
both
surfaces.
Graphs
used
illustrate
findings
this
work.
We
velocity
fields
increase
with
inverse
Darcy
number
value
case
stretching
while
opposite
effects
can
be
observed
shrinking
case.
Moreover,
magnitude
particle
interaction
parameter
enhances
solution
domain
raises.
disclose
performance
nanofluid
phase
compared
performance.