International Journal of Modern Physics B,
Год журнала:
2022,
Номер
37(18)
Опубликована: Дек. 15, 2022
Numerical
simulation
was
offered
for
scrutinizing
the
freezing
of
water
within
complex
container.
The
container
has
elliptic
left
adiabatic
wall
while
right
is
sinusoidal
and
maintained
at
cold
temperature.
drawback
been
removed
by
adding
alumina
nanoparticles.
For
this
modeling,
different
ranges
volume
shape
factor
nanoparticles
have
scrutinized
incorporating
FEM.
configuration
grid
alters
with
change
time
verification
test
presented
which
proved
good
accuracy.
As
bigger
selected,
process
decline
less
than
4%
cylinder
percentage
augments
around
78.22%
blade
shape.
nanoparticle
fraction
increases,
required
declines
26.84%.
impact
in
view
25.74%
greater
that
Case Studies in Thermal Engineering,
Год журнала:
2023,
Номер
49, С. 103139 - 103139
Опубликована: Июнь 10, 2023
A
curved
enclosure
in
attendance
of
MHD
was
evaluated
this
article.
Both
outer
cold
and
inner
hot
surfaces
have
shapes
which
boosts
the
convective
rate.
The
impact
equations
has
been
applied
there
is
one
negative
term
x
direction
if
horizontal
magnetic
fields
applied.
Presence
such
a
field
leads
to
generation
Lorentz
force
prevents
nanofluid
from
moving
faster.
Such
reduction
velocity
with
growth
Ha
makes
Nu
decrease.
Adding
nanoparticles
greater
"m"
φ
can
increase
flow.
When
Ra
=
700,
dispersing
nano-powders
enhance
existence
about
41.9%.
150,
improve
12.01%
enhanced.
decreases
around
40.1%
while
it
increases
43.36%
Ra.
Case Studies in Thermal Engineering,
Год журнала:
2023,
Номер
42, С. 102727 - 102727
Опубликована: Янв. 13, 2023
The
new
computational
approach
has
been
incorporated
for
modeling
the
nanofluid
flow
through
a
cavity
involving
wavy
inner
wall
which
experiences
uniform
flux.
fluid
was
created
by
loading
alumina
powders
with
various
shapes
within
water.
stream
function
formulation
applied
after
employing
Darcy
law
and
final
equations
have
generated.
container
is
under
impact
of
Lorentz
force
in
addition
to
buoyancy
forces.
With
additives,
Nu
enhances
about
17.07%
41.57%
depending
on
amount
Ha.
greater
value
Ha
makes
effect
adding
nanoparticles
become
more
sensible.
increasing
shape
factor,
increases
11.76%.
As
grows,
rate
cooling
decreases
41.31%.
augment
Ra,
50.41%
absence
Case Studies in Thermal Engineering,
Год журнала:
2024,
Номер
61, С. 104914 - 104914
Опубликована: Авг. 3, 2024
This
work
employs
an
approach
to
examine
the
effects
of
adding
alumina
nanoparticles
with
varying
diameters
(dp)
water
on
productivity
cold
storage.
Utilizing
a
finned
geometry
curved
wall,
mesh
configuration
was
adapted
solid
front's
location,
and
unsteady
terms
were
discretized
using
implicit
methods.
The
concentration
(ϕ)
also
evaluated
as
key
parameter.
Results
indicated
that
increasing
improved
storage
efficiency
by
approximately
42.11
%.
Among
various
sizes,
medium-sized
most
effective,
yielding
20
%
improvement
in
freezing
compared
smallest
size.
Optimal
nanoparticle
dispersion
significantly
reduced
required
cooling
time
from
9383.58
s
5507.129
s.
study
highlights
substantial
benefits
combining
fins
enhance
systems,
presenting
notable
advancement
thermal
management
technology.
Case Studies in Thermal Engineering,
Год журнала:
2022,
Номер
39, С. 102462 - 102462
Опубликована: Окт. 2, 2022
The
new
code
has
been
developed
for
simulating
the
freezing
of
nanomaterial
with
water
base
PCM.
This
was
based
on
Galerkin
approach
and
style
grid
depends
position
solid
first
layer.
two
surfaces
have
maintained
at
cold
temperature
fins
mounted
to
increase
space
area.
single
phase
techniques
deriving
properties
were
developed.
As
powders
applied,
needed
time
augments
from
maximum
value
(1390s)
minimum
(11038.49s).
means
that
selecting
shape
factor
8.6,
declines
about
25.28%.
Besides,
changing
can
reduce
6.27%.
fraction
increases
twice
value,
speed
process
around
12.93%.
