Case Studies in Thermal Engineering,
Год журнала:
2023,
Номер
52, С. 103762 - 103762
Опубликована: Ноя. 16, 2023
The
physical
dynamic
and
impact
of
many
problems
is
successfully
attributed
via
fractional
approach.
models
more
effectively
present
the
insight
which
maintain
memory
effects.
Owing
to
excellent
thermal
activities
alters,
nanoparticles
are
superior
contrasting
base
liquids.
Different
reported
in
heating
transmission
systems,
engineering
processes
industrial
framework.
Present
study
elucidates
heat
transfer
distribution
Oldroyd-B
nanofluid
decomposition
copper
with
blood
fluid.
variable
conductivity
function
assumed
treat
problem.
Furthermore,
viscous
dissipation
consequences
utilized
order
modifying
modeling
based
on
Caputo
forms.
finite
difference
simulations
performed
computing
numerical
results.
Thermal
results
for
model
claimed
variation
flow
parameters
0≤Ha≤5,1≤Gr≤3,0.01≤ϕ≤0.2,0≤ϵ≤1,0≤Ec≤1
α=β∈(0,1]..
verify
that
boosted
phenomenon
associated
under
assumptions.
increasing
volume
parameter
role
noted
temperature
profile.
pattern
fraction
while
controlling
parameter.
Based
results,
it
current
solution
approach
can
be
further
implemented
different
problems.
Modern Physics Letters B,
Год журнала:
2024,
Номер
unknown
Опубликована: Май 10, 2024
The
hybrid
nanofluid
(HNF)
flow
consists
of
polymer/CNT
matrix
nanocomposite
material
(MNC)
across
coaxial
cylinders
is
numerically
described
in
this
study.
HNF
inspected
under
the
consequences
thermal
radiation,
exponential
heat
source/sink
and
viscous
dissipation.
prepared
by
adding
MNC
water.
MNCs
are
highly
productive
elements
with
unique
designs
properties.
widely
used
biomedicine
electrical
applications
due
to
their
exceptional
thermophysical
Based
on
exceptionally
high
conductivity,
CNT/polymer
nanoparticles
(NPs)
also
utilized
as
shielding
for
electrostatic
discharge
electromagnetic
interference
(EMI).
modeled
help
energy,
continuity,
momentum
equations.
MATLAB
package
bvp4c
handle
It
has
been
perceived
that
intensifying
numbers
will
lessen
fluid
velocity
temperature
profile
cases
both
HNF.
Numerical Heat Transfer Part A Applications,
Год журнала:
2024,
Номер
unknown, С. 1 - 15
Опубликована: Апрель 2, 2024
Numerically
the
hybrid
nanofluid
(HNF)
flow
comprised
of
aluminum
alloys
(AA7072
and
AA7075)
across
to
coaxial
cylinders
is
reported
in
current
analysis.
The
fluid
has
been
examined
under
significances
viscous
dissipation,
thermal
radiation,
exponential
heat
source/sink.
HNF
produced
by
addition
AA7072
AA7075
nanoparticles
(NPs)
water.
Aluminum
are
mostly
used
for
electric
module
wrapping,
electronic
machinery,
automotive
body,
solar
wind
energy
controlling,
generation.
modeled
form
momentum,
continuity,
equations.
Numerical
approach
parametric
continuation
method
(PCM)
solve
consequences
parameters
on
temperature,
velocity,
skin
friction,
Nusselt
number
have
revealed
through
figures.
It
noticed
that
velocity
drops,
whereas
curve
develops
with
escalating
influence
magnetic
field.
Furthermore,
rising
numbers
NPs
water
diminish
temperature
profile.
Energy
accelerates
growing
values
Brinkman
number.
can
be
observed
transmission
rate
upsurges
up
13.17%
Journal of Taibah University for Science,
Год журнала:
2023,
Номер
18(1)
Опубликована: Дек. 8, 2023
The
goal
of
this
research
is
to
investigate
fractional
Maxwell
hybrid
nanofluids
utilizing
partial
differential
equations
in
terms
Caputo
time
derivatives.
Specifically,
the
effect
Newtonian
heating
on
thermal
performance
a
nanofluid
moving
over
permeable
cone
presence
radiation
and
heat
generation
considered.
Crank–Nicolson
method
L1
algorithmt
derivative
are
used
find
numerical
solutions
considered
nonlinear
problem.
effects
significant
flow
factors
fluid
properties
examined
illustrated
various
graphs.
According
results,
raised
by
0.4%,
6.1%,
3.1%
adding
4%
volume
fraction
Fe3O4,
Cu,
Cu−Fe3O4,
respectively,
base
fluid.
International Journal of Modelling and Simulation,
Год журнала:
2024,
Номер
unknown, С. 1 - 14
Опубликована: Апрель 7, 2024
This
study
investigates
the
application
of
artificial
intelligence
(AI)
in
fluid
dynamics,
mainly
using
a
neural
network
trained
by
Levenberg
–
Marquardt
method
(NN-BLMM),
to
model
magnetohydrodynamic
(MHD)
stagnation
point
Ree
Eyring
flow.
We
focus
on
this
flow
over
convectively
heated
stretched
surface
integrating
Cattaneo
Christov
heat
model.
The
initial
complex
nonlinear
partial
differential
equations
(PDEs)
are
transformed
into
ordinary
(ODEs)
suitable
similarity
variables.
A
dataset
was
generated
Lobatto
IIIA
numerical
solver
analyze
effects
various
and
thermal
parameters.
NN-BLMM
then
rigorously
evaluated
through
training,
testing,
validation
phases
compared
with
reference
data.
ensures
model's
precision
effectiveness.
observe
that
an
increase
Powell
parameter
notably
reduces
fluid's
shear
resistance,
implying
decrease
viscosity.
Concurrently,
transfer
rate
within
medium
increases
internal
generation
parameter.
These
findings
highlight
robustness
simulating
emphasizing
AI's
potential
provide
deeper
understanding
non-Newtonian
behaviors.
research
has
important
implications
for
industrial
applications
which
precise
control
properties
is
crucial.
AIMS Mathematics,
Год журнала:
2024,
Номер
9(4), С. 9059 - 9090
Опубликована: Янв. 1, 2024
<abstract>
<p>The
current
study
is
based
on
the
mechanism
of
mixed
convection
and
solar
thermal
radiation
in
Walters'-B
fluid
considering
tera-hybrid
nano-structures
using
convective
boundary
constraints
(CBC)
(CHF)
constant
heat
flux.
The
transmission
phenomenon
taken
into
account
under
influence
triple-suspended
nanoparticles.
problem
has
several
potential
applications,
including
improvements
energy
systems,
nanofluids,
aerospace,
cooling
processes,
automotive
engineering,
numerical
modeling
methods.
A
approach,
namely
Crank-Nicolson,
utilized
3D
Walter's
B
past
over
a
circular
cylinder
whose
radius
varies
sinusoidally
for
evaluation
velocity
temperature
distributions.
For
mathematical
modeling,
Cartesian
coordinate
system
was
used
study.
Comparative
analysis
between
flux
demonstrated
graphically
against
multifarious
parameters
towards
profile
profiles
along
x-axis
y-axis.
Moreover,
comparative
dissimilar
manifested
Nusselt
number
through
tables,
skin
friction
co-efficient
shown
excellent
accuracy.
It
estimated
that
by
enhancing
values
<italic>Q<sub>sr</sub></italic>,
<italic>C</italic>,
<italic>H<sub>s</sub></italic>
<italic>E<sub>c</sub></italic>,
it
addressed
curve
increases
CHF
CBC
cases.</p>
</abstract>
Nanotechnology Reviews,
Год журнала:
2023,
Номер
12(1)
Опубликована: Янв. 1, 2023
Abstract
This
theoretical
work
suggests
a
novel
nonlinear
thermal
radiation
and
an
applied
magnetic
feature-based
three-dimensional
Casson
nanomaterial
flow.
flow
is
assumed
in
the
rotating
frame
design.
Gyrotactic
microorganisms
(GMs)
are
utilized
nanofluid
to
investigate
bioconvection
applications.
The
altered
Buongiorno
nano-model
used
understand
thermophoretic
Brownian
mechanisms.
Convective
boundary
conditions
must
be
overcome
solve
problem.
With
suitable
variables,
dimensionless
pattern
of
equations
obtained.
solutions
formulations
then
obtained
using
semi-analytical
simulations
homotopy
analysis
mechanism.
It
was
found
that
velocity
outline
enhanced
with
enhancing
estimations
buoyancy
ratio,
rotation
factor,
parameter
while
it
reduced
mixed
convection,
porosity,
slippery
parameters,
Rayleigh
number.
temperature
profile
increased
radiation,
parameter,
Biot
reasons
improvement
concentration
contrary
parameter.
GMs
decreased
Peclet
number
inversely
Lewis
effect,
which
causes
increase
microorganisms’
concentration.
