This
study
extensively
examines
double-diffusive
natural
convection
of
a
water
nanofluid
containing
Al2O3
nanoparticles
in
both
horizontal
and
vertical
rectangular
enclosures
subjected
to
uniform
thermal
solutal
fluxes
along
the
direction.
The
key
contribution
this
research
is
emphasize
significance
aspect
ratio
as
critical
factor
for
enhancing
heat
transfer.
Neglecting
could
have
substantial
implications
advancement
practical
application
nanotechnology
also
impact
other
relevant
parameters
namely
nanoparticle
concentration,
Rayleigh
number,
three
distinct
models
calculate
effective
viscosity
conductivity.
A
comparison
among
these
highlights
notable
disparity
between
based
on
experimental
data
(model
II
III)
that
theoretical
assumptions
I).
It
was
revealed
number
manifests
mass
transfers,
especially
enclosures,
an
augmentation
improves
convective
transfers.
However,
lower
numbers,
effect
diminishes.
incorporation
might
deteriorate
up
21%
or
enhance
12%
transfer
according
dominant
mode,
we
obtain
enhancement
conduction
deterioration
convection.
Model
I
gives
higher
Nusselt
Sherwood
followed
by
III,
but
model
showed
peculiar
behavior
compared
III.
identified
which
defines
regions
where
enhances
with
clear
water.
ABSTRACT
The
present
work
describes
a
numerical
simulation
of
free
convection
heat
transfer
inside
square
cavity
containing
prismatic
obstacle
at
various
angles
inclination.
nondimensional
governing
equations
are
discretized
by
the
finite
element
method
and
solved
in
commercial
software
“COMSOL
Multiphysics
6.1”
with
appropriate
boundary
conditions.
effect
prominent
parameters
on
streamline,
isotherm
contours,
local
Nusselt
number
profiles
depicted
graphically.
control
Prandtl
Rayleigh
(10
3
≤
Ra
10
6
).
study
considers
air
as
circulating
fluid
number,
Pr
=
0.71.
computations
conducted
for
shape
four
different
orientations
,
.
inclination
angle
is
observed
to
exert
significant
role
distribution
momentum
cavity.
Furthermore,
neural
network
approaches
used
optimizing
thermal
performance
system,
via
Bayesian
regularization
machine
learning
analysis
Levenberg–Marquardt
algorithms.
finds
applications
solar
collectors,
fuel
cells,
so
forth.
Case Studies in Thermal Engineering,
Год журнала:
2024,
Номер
61, С. 104933 - 104933
Опубликована: Авг. 10, 2024
In
this
research,
numerical
analysis
will
be
conducted
on
the
thermal
and
hydraulic
performance
of
a
spiral
two-tube
heat
exchanger.
The
study
employs
an
innovative
turbulator
design
with
curved
outer
blades
semi-conical
section
two
openings.
Numerical
simulations
were
using
commercialized
Finite
Volume
Method
(FVM)
program,
ANSYS
FLUENT
18.2.
finite
volume
method
was
employed
to
analyze
fluid
equations
parameters.
A
comparison
made
between
distinct
flow
directions,
namely
positive
negative
currents,
utilizing
comprehensive
range
three
working
fluids.
findings
indicate
that
employing
counter-current
Water/MOS2−Fe3O4
nanohybrid
results
in
superior
endothermic
performance.
These
maximum
efficiency
improvement
roughly
17.54
%
8
can
achieved
by
counterflow
configuration
at
mass
rate
m˙
=
0.008
kg/s,
alternative
models.
Furthermore,
showed
performs
better
than
Ag-HEG/Water
when
used
parallel
configurations,
starting
Reynolds
number
600.
With
tubes,
Water/MOS2−Fe3O4fluid
achieves
highest
coefficient
Mathematical Problems in Engineering,
Год журнала:
2024,
Номер
2024, С. 1 - 15
Опубликована: Март 22, 2024
This
work
presents
a
numerical
analysis
for
exploring
heat
transfer
phenomena
in
an
enclosed
cavity
using
magnetohydrodynamics
natural
convection.
Because
of
the
numerous
real-world
applications
nanofluids
and
hybrid
industrial
thermal
engineering
developments,
are
used
as
fluid
mediums
field.
A
hexagonal-shaped
exchanger
is
taken
with
two
circular
surfaces
along
middle
part.
The
upright
surface
acts
homogeneous
source,
while
lower
functions
sink.
remaining
portions
adjacent
walls
thermally
insulated.
copper
(Cu)
titanium
dioxide
(TiO2)
nanoparticles
suspended
into
water
to
make
nanofluid.
For
solving
corresponding
governing
equations,
weighted-residual
finite
element
method
applied.
To
explain
major
outcomes,
isotherms,
streamlines,
many
others
2D
3D
contour
plots
involved
graphically
physical
explanation
different
magnitudes
significant
parameters:
Rayleigh
number
,
Hartmann
id="M2">0≤Ha≤100
nanoparticle
volume
fraction
id="M3">0≤ϕ≤0.06
.
novelty
this
apply
response
methodology
on
convective
nanofluid
model,
visualize
effects,
study
sensitivity
independent
parameters
function.
Due
outstanding
properties
nanofluid,
addition
Cu
TiO2
H2O
develops
rate
35.85%
rather
than
base
fluid.
Moreover,
larger
magnitude
Ra
accumulation
mixture
result
actuation
With
greater
magnetic
impact,
opposite
exhibited.
