Energies,
Journal Year:
2023,
Volume and Issue:
16(21), P. 7229 - 7229
Published: Oct. 24, 2023
This
article
reports
an
investigation
of
the
Soret
and
Dufour
effects
on
double-diffusive
natural
convection
Al2O3-H2O
nanofluids
in
a
U-shaped
porous
enclosure.
Numerical
problems
were
resolved
using
multiple-relaxation-time
(MRT)
lattice
Boltzmann
method
(LBM).
The
indented
part
U-shape
was
cold,
right
left
walls
heated,
while
bottom
upper
adiabatic.
experimental
data-based
temperature
nanoparticle
size-dependent
correlations
for
Al2O3-water
are
used
here.
benchmark
results
thoroughly
validate
graphics
process
unit
(GPU)
based
in-house
compute
unified
device
architecture
(CUDA)
C/C++
code.
Numeral
simulations
performed
variety
dimensionless
variables,
including
Rayleigh
number,
(Ra
=
104,105,106),
Darcy
(Da
10−2,10−3,10−4),
(Sr
0.0,0.1,0.2),
(Df
buoyancy
ratio,
(−2≤Br≤2),
Lewis
(Le
1,3,5),
volume
fraction,
(0≤ϕ≤0.04),
porosity,
ϵ
(0.2−0.8),
Prandtl
Pr
6.2
(water)
is
fixed
to
represent
base
fluid.
numerical
presented
terms
streamlines,
isotherms,
isoconcentrations,
temperature,
velocity,
mean
Nusselt
Sherwood
entropy
generation,
statistical
analysis
response
surface
methodology
(RSM).
found
that
fluid
mobility
enhanced
as
Ra
number
force
increased.
isoconcentrations
isotherm
density
close
heated
wall
increased
when
shifted
from
negative
magnitude
positive
one.
local
Nu
but
reduced
fraction
augmented.
Furthermore,
(Nu¯)
decreased
by
3.12%
6.81%
Sh¯
83.17%
117.91%
with
rising
(Ra=105
Da=10−3)
(Ra=106
Da=10−4),
respectively.
Finally,
Br
Sr
demonstrated
sensitivity,
ϕ
showed
sensitivity
only
higher
values
RSM.
International Journal of Thermofluids,
Journal Year:
2023,
Volume and Issue:
21, P. 100546 - 100546
Published: Dec. 14, 2023
The
cross-diffusion
via
Soret
and
Dufour
impacts
on
natural
convection
in
an
L-shaped
enclosure
full
of
multi-walled
carbon
nanotubes
(MWCNTs)-H2O
(water)
nanofluids
has
been
studied
numerically
utilizing
the
multiple-relaxation-time
(MRT)
lattice
Boltzmann
method
(LBM)
through
graphics
processing
unit
(GPU)
computing.
indented
part
L-shape
is
cold
(Tc),
while
left
bottom
walls
chamber
maintain
a
heated
(Th)
temperature.
adiabatic
boundary
condition
present
cavity's
remaining
walls.
thermal
conductivity
viscosity
are
function
fluid
temperature,
corresponding
correlation
was
derived
from
experimental
data.
current
methodology
data
based
outcomes
wholly
noble.
Numerical
simulations
have
done
for
numeroust
relevant
pertinent
such
as
Rayleigh
number,
3×103≤Ra≤3×105,
buoyancy
ratio,
−2≤Br≤2,
volume
fraction,
0.0≤ϕ≤0.01,
0.0≤Sr≤0.2,
0.0≤Df≤0.2,
Prandtl
Pr=6.2,
Lewis
Le=2
fixed.
results
presented
regarding
streamlines,
isotherms,
isoconcentration,
velocity
temperature
distribution,
local
Nusselt
average
Sherwood
total
entropy
production.
It
discovered
that
with
growing
numbers,
fractions,
Nu¯
Sh¯
rise.
For
various
numbers
Ra
=
(3×103,
3×104,
3×105),
grew
by
29.95%,
19.86%,
1.77%
respectively
when
ϕ
increased
0.0
to
0.01.
graph
reaches
its
maximum
Ra=3×105.
streamlines
grow
enhances.
In
addition,
fraction
rises
0.02,
Nu
because
more
potent
conductivity,
but
Sh
falls.
highest
formation
found
Ra=(3×105),
general
rate
improves
enlarged
Bejan
number
stays
constant.
Finally,
response
surface
analysis
done,
output
closely
matches
original
simulation
results.
Journal of Taibah University for Science,
Journal Year:
2024,
Volume and Issue:
18(1)
Published: May 24, 2024
This
study
employs
finite
difference
modelling
to
investigate
the
natural
convection
of
a
two-phase
hybrid
nanofluid
consisting
Al2O3
and
Cu
nanoparticles
dispersed
in
water
along
vertically
heated
wavy
surface.
The
has
unique
features
that
influence
convective
heat
transfer.
Numerical
solutions
analyze
fluid
flow
patterns
temperature
distributions,
providing
insights
into
exchange
thermal
management.
research
highlights
importance
nanofluids,
notably
those
containing
base,
improving
overall
transfer
efficiency.
mathematical
model
accounts
for
laminar
incompressible
with
Prandtl
number
Pr
=
6.2,
Lewis
Le
10,
maximum
10%
concentration
nanoparticles.
After
transforming
governing
equations
non-dimensional
form,
implicit
method
is
used
solve
them.
solution
in-house
FORTRAN
90
code
compares
its
outcomes
benchmark
results.
Various
parameters,
such
as
Schmidt
(Sc
1
10),
volume
fraction
(ϕ=0.0
0.1),
amplitude
(A
0.0
0.3),
NBT
(0.05
0.2),
are
investigated
regarding
temperature,
velocity,
local
skin
friction
coefficient
(Cf),
Nusselt
(Nu),
streamlines,
isotherms.
Elevated
generally
decreases
friction,
increases
may
reduce
velocity.
Meanwhile,
higher
numbers
often
correlate
elevated
numbers.
Changes
affect
numbers,
information
on
dynamics
systems.
For
example,
when
(ϕ)
from
0
0.1
at
Y
2,
rises
by
75%,
while
velocity
gradually
11.11%.
contrast
findings
according
0.05
0.2
1.
In
this
case,
drops
18.75%,
followed
9.68%
fall
Understanding
these
interactions
enhances
comprehension
dynamics.
By
investigating
interactions,
we
not
only
improve
our
understanding
dynamics,
but
also
open
door
new
strategies
systems
manufacturing
procedures.
Partial Differential Equations in Applied Mathematics,
Journal Year:
2024,
Volume and Issue:
10, P. 100667 - 100667
Published: March 23, 2024
This
numerical
analysis
investigates
the
behavior
of
magnetohydrodynamics
(MHD)
thermosolutal
convection
in
a
hybrid
nanofluid
made
up
multi-wall
carbon
nanotube
(MWCNT)-Fe3O4
and
water
along
vertical
wavy
surface
with
wall
heat
mass
flux
conditions.
The
mathematical
model
is
developed
using
conservation
equations
mass,
momentum,
energy,
energy.
governing
are
converted
into
non-dimensional
form
appropriate
transformation,
implicit
finite
difference
technique
used
to
solve
them.
effects
various
parameters,
such
as
Schmidt
number
(Sc),
nanoparticles
volume
fraction
(ϕ),
amplitude
(a),
magnetic
parameter
(M),
buoyancy
ratio
(Br),
on
velocity,
temperature,
concentration
distribution
(Φ),
streamlines,
isotherms,
local
skin
friction
coefficient
(Cf),
Nusselt
(Nu)
number,
Sherwood
(Sh)
investigated.
Results
show
that
higher
addition
nanofluids
slow
down
transport
rate,
indicated
by
declining
numbers.
However,
enhancing
increases
fluid
flow's
friction,
heat,
transport.
distribution,
convective
within
weakened
M.
International Journal of Modelling and Simulation,
Journal Year:
2024,
Volume and Issue:
unknown, P. 1 - 30
Published: April 9, 2024
This
study
aims
to
numerically
examine
the
heat
transfer
and
entropy
generation
of
non-Newtonian
power-law
nanofluids
in
a
C-shaped
cavity
filled
with
porous
media
considering
Brinkman-Forchheimer
extended
Darcy
model
(BFEDM).
The
graphics
processing
unit
(GPU)
based
multiple-relaxation-time
lattice
Boltzmann
method
(MRT-LBM)
was
used
through
computing
unified
device
architecture
(CUDA)
C/C++
platform.
It
is
known
fact
that
fluid
viscosity
varies
shear
rate
nanoparticle
sizes
thermal
conductivity
also
temperature.
However,
extension
such
phenomena
needs
be
further
investigated
understand
any
specific
threshold
application.
To
leverage
characteristics,
it
permissible
add
certain
input
parameters.
As
result,
indices
(n),
number
(Da),
volume
fraction
nanoparticles
(ϕ),
Rayleigh
(Ra),
fixed
porosity
(ε=0.4)
were
five
key
parameters
considered
analyze
numerical
results.
GPU-based
code
validated
available
benchmark
results,
good
agreements
obtained.
results
showed
average
terms
Nusselt
(Nu‾)
increased
due
an
increase
Ra
enhanced
buoyancy
force
reduction
.
Numerical Heat Transfer Part B Fundamentals,
Journal Year:
2024,
Volume and Issue:
unknown, P. 1 - 22
Published: Jan. 3, 2024
Heat-exchanging
devices
equipped
with
conventional
thermal
fluids
are
failing
to
meet
the
standard
in
terms
of
efficiency.
The
inclusion
nanoparticles
within
a
base
fluid
improve
efficiency
can
be
great
alternative
but
proper
understanding
on
interactions
during
heat
transfer
phenomena
is
required.
This
work
examines
between
conduction
and
convection
nanofluid
water
copper
(Cu)
particles.
investigation
focuses
behavior
nanofluid,
considering
impact
magnetohydrodynamics
(MHDs)
flow
over
vertical
surface.
governing
equations
were
non-dimensionalized
by
suitable
transformation
then
solved
numerically
implicit
finite
difference
method
(FDM).
key
findings
suggested
that
increasing
magnetic
parameter
plummeted
skin
friction
coefficient
accelerated
dissipation
up
5%−10%
augmenting
peaks
velocity
as
well
temperature
under
constant
volume
fraction
nanoparticles.
In
addition,
boundary
layer
thickness
also
increased
concurrently.
Alternatively,
when
non-zero
was
considered,
allowed
vary,
convective
got
enhanced.
from
this
study
will
assist
relevant
industry
identify
Cu
presence
field
order
achieve
best
efficacy
heat-exchanging
unit.
