Results in Engineering,
Год журнала:
2024,
Номер
21, С. 101925 - 101925
Опубликована: Фев. 16, 2024
This
study
investigated
double
diffusion
natural
convection
of
Casson
fluids
in
an
asymmetrical
cavity
under
a
constant
magnetic
field.
The
intricacies
flow
and
heat/mass
transfer
were
explored
computationally
using
the
finite
element
method.
Applications
exist
geology,
oceanography,
metallurgy,
astrophysics.
impacts
Rayleigh
number,
parameter,
number
peaks,
Darcy
on
entropy
generation,
velocity,
temperature/concentration
gradients
quantified.
Key
findings
showed
that
by
increasing
chaos
vigor
intensified,
thereby
boosting
gradients.
Furthermore,
elevating
streamlines
narrowed
mixing
was
reduced
owing
to
more
solid-like
behavior.
Additionally,
varying
complexity
modulated,
thus
allowing
for
strategic
optimization
localized
rates.
Moreover,
positively
correlated
with
Nusselt/Sherwood
numbers,
enhancing
diffusion.
Likewise,
expanded
configuration
options,
consequently
system
entropy.
computational
approach
enabled
modeling
precluded
analytical
approaches,
while
simultaneously
providing
insight
than
experiments.
Predictions
entropy,
heat
transfer,
rates
will
guide
designs
enhanced
efficiency
thermal
control
applications
spanning
underground
pipelines,
boilers,
nuclear/thermal
plants,
energy
storage.
Specifically,
modulation
parameters
optimize
minimize
generation
lead
improved
utilization
high-temperature
industrial
processes
advancing
sustainability.
Heliyon,
Год журнала:
2024,
Номер
10(2), С. e24098 - e24098
Опубликована: Янв. 1, 2024
The
present
research
explores
linear
as
well
nonlinear
radiation
patterns
based
on
the
MHD
non-Newtonian
(Maxwell)
nanofluid
flow
having
Arrhenius
activation
energy.
This
study's
core
focus
is
properties
in
fluid
dynamics
and
boundary
layer
phenomena
analysis.
It
initiates
with
time-dependent
equations,
employing
approximations.
Extensive
numerical
computations,
executed
custom
Compact
Visual
Fortran
code
EFD
method,
provide
profound
insights
into
behavior,
revealing
intricate
force
interactions
patterns.
To
check
stability
of
solution,
a
convergence
analysis
performed.
With
values
ΔY
=
0.25,
Δτ
0.0005,
ΔX
0.20;
it
found
that
model
occurs
to
Lewis
number,
Le
>
0.016
Prandtl
Pr
0.08.
In
this
context,
investigating
non-dimensional
results
depend
multiple
physical
factors.
Explanation
visual
representations
effects
different
characteristics
their
resultant
temperatures,
concentrations,
velocity
profiles
are
provided.
As
result
illustrations,
skin
friction
coefficient
Sherwood
which
calculated,
Nusselt
values,
have
all
come
up
discussion.
Additionally,
detailed
isothermal
lines
streamlines
implemented,
pointed
out
development
these
features
at
same
time
Brownian
motion.
Furthermore,
temperature
field
for
Maxwell
modified
due
impression
chemical
reaction
Dufour
number
(Kr
Du).
Our
demonstrates
superior
performance
solutions,
notably
cases
involving
energy
radiation.
paradigm
shift
carries
significant
implications.
another
interplay
between
affected
by
energy,
offering
promising
applications
fields
like
medicine
industry,
particularly
groundbreaking
cancer
treatment
approaches.
Alexandria Engineering Journal,
Год журнала:
2023,
Номер
81, С. 636 - 655
Опубликована: Сен. 29, 2023
Investigating
the
effects
of
periodic
magnetic
field
and
triple
diffusion
on
bioconvection
flow
through
a
rotating
cone
populated
by
oxytactic
bacteria
an
Eyring-Powell
fluid
is
innovative
significant.
The
magneto-bioconvection
multi-diffusive
across
spinning
investigated
in
this
paper,
considering
effect
microorganisms.
non-similar
technique
used
mathematical
analysis
over
cone.
under
consideration
contains
two
diffusive
species:
liquid
hydrogen
oxygen.
In
light
field,
surface
gradients,
notably
skin
friction,
exhibit
wavy
boundary
layer
domain.
governing
equations
for
current
problem,
accompanied
heat
diffusion,
species
rotation,
bioconvection,
magnetic,
are
highly
coupled
nonlinear
PDEs
dependent
proper
initial
conditions.
Mangler's
transformations
convert
them
into
non-dimensional
forms,
numerical
solutions
produced
using
implicit
finite
difference
approximation
quasi-linearisation.
enriching
values
bioconvective
Rayleigh
number
Rb
decline
velocity
F,
as
result,
lessen
friction
between
surrounding
cone's
surface.
improving
Peclet
Pe
microbial
density
σ
reduced
microorganism
profile
heightened
Re-1/2Nn.
International Journal of Thermofluids,
Год журнала:
2023,
Номер
21, С. 100484 - 100484
Опубликована: Окт. 12, 2023
This
work
revealed
the
investigation
of
Casson
nanofluid
flow's
MHD
(magneto-hydrodynamic)
unstable
boundary
layer
characteristics
in
simultaneous
transmission
thermoelectric
and
radiation
on
a
stretched
sheet.
On
Newtonian
non-Newtonian
(Casson)
flows,
cumulative
impact
thermoelectricity
has
been
addressed.
Thermal
radiation,
nanofluids,
are
pivotal
engineering
industry,
transforming
applications
like
heat
exchangers,
nuclear
power
plants,
thermal
energy
storage,
advanced
drug
delivery
systems.
The
problem-related
partial
differential
equations
have
formulated
with
approximation.
changed
into
dimensionless
form
help
appropriate
variables
parameters.
Finite
difference
techniques
employed
to
get
numerical
solution
via
FORTRAN
6.6a
programming
algorithm,
solutions
illustrated
graphically
support
Tecplot-360
software.
consequences
numerous
parameters
investigated
using
variety
figures,
amounts
various
being
revised.
effects
primary
velocity,
secondary
temperature
profiles
presented
discussed
critical
physical
properties
such
as
skin
friction
addition
Nusselt
number.
combined
streamlines
isotherms
line
contour
flood
views.
most
significant
finding
is
that
collective
influence
impacts
promotes
phenomena
fluid
flow
comparatively
more
than
flow.
For
purpose
creating
effective
procedures,
forecasting
patterns,
guaranteeing
product
performance
industries,
it
crucial
explain
fluids.
model
can
also
aid
blood
simulation
risk
assessment
for
thrombosis
other
cardiovascular
diseases.
Scientific Reports,
Год журнала:
2023,
Номер
13(1)
Опубликована: Фев. 2, 2023
Nanofluids
with
their
augmented
thermal
characteristics
exhibit
numerous
implementations
in
engineering
and
industrial
fields
such
as
heat
exchangers,
microelectronics,
chiller,
pharmaceutical
procedures,
etc.
Due
to
properties
of
nanofluids,
a
mathematical
model
non-Newtonian
Casson
nanofluid
is
analyzed
this
current
study
explore
the
steady
flow
mechanism
contribution
water-based
Aluminum
oxide
nanoparticles.
A
stretchable
surface
incorporating
variable
thickness
considered
be
source
concerning
fluid
two-dimension.
An
exponential
viscosity
proposed
observe
phenomenon.
Different
models
including
Brinkman
Einstein
are
also
incorporated
analysis
compared
present
model.
The
physical
problem
organized
boundary
layer
equations
which
further
tackled
by
execution
relevant
similarity
transformations
appear
form
ordinary
nonlinear
differential
equations.
different
three
strong
graphical
tabulated
relations
each
other
relative
various
aspects
problem.
In
all
concerned
viscosity,
deteriorating
nature
velocity
field
corresponding
parameters
observed.
Engineering Reports,
Год журнала:
2023,
Номер
5(11)
Опубликована: Апрель 10, 2023
Abstract
A
magnetic
field
might
interact
with
its
surroundings,
influencing
chemical
and
physical
processes
in
materials
processing,
heat
exchangers,
other
scientific
study.
Therefore,
a
computational
study
of
non‐Newtonian
(Casson)
free
convective
MHD
unsteady
fluid
flow
has
been
highlighted
this
article
mass
transit
property
through
vertical
infinite
porous
plate.
sinusoidal
boundary
conditions
as
well
reaction
thermal
radiation
have
considered.
Using
collection
nondimensional
variables,
the
related
equations
are
also
turned
into
form.
The
EFDM
algorithm
is
employed
order
to
arrive
at
numerical
solution
via
Compaq
Visual
Fortran.
reliability
confirmed
using
stability
testing
convergence
analysis.
whole
system
convergent
when
values
Prandtl
number
Lewis
greater
than
or
equals
0.075
0.025,
respectively.
visual
depiction
impact
pertinent
factors
on
dimensionless
velocity,
temperature,
concentration
profiles
displayed
graphical
representation
tabular
representation.
It
inspected
that
component
regarded,
it
greatly
affects
transfer
Casson
nanofluid
rises
Eckert
number,
source
parameter
accelerate.
found
Sherwood
increased
skin
friction
decreased
influence
porosity
term
got
accelerated.
comparison
current
findings
data
were
previously
published
serves
final
stage
validating
present
Partial Differential Equations in Applied Mathematics,
Год журнала:
2023,
Номер
7, С. 100500 - 100500
Опубликована: Фев. 11, 2023
Controlling
heat
transmission
in
the
polymer
manufacturing
business
has
always
depended
on
thermal
radiation
component
and
development
of
a
variety
novel
technical
processes,
such
as
solar
energy
technology
combustion
fossil
fuels
occur
at
high
temperatures.
Therefore,
it
would
appear
significant
to
study
because
that
this
research
delivers
numerical
evaluation
cumulative
influence
Hall
current
MHD
fluid
flow
across
stretchable
surface
which
is
non-linear.
Nevertheless,
been
considered
conveys
tiny
(1-100
nm)
particles.
The
model
equations
have
made
non-dimensional
using
boundary
layer
approach
components.
Then,
finite
difference
approach,
acquired
are
numerically
constructed.
solution
discussed
investigate
primary
plus
secondary
velocity,
temperature
but
also
concentration
ordination.
Skin
friction,
coefficient
mass,
some
phenomena
investigated.
Streamlines,
well
isothermal
lines,
employed
display
an
upgraded
representation
flow.
A
closer
examination
reveals
effects
parameter
larger
velocity
than
individual
impacts
factor.
It
revealed
when
both
influences
included,
transfer
capabilities
considerably
higher
only
one
them
examined.
Case Studies in Thermal Engineering,
Год журнала:
2024,
Номер
59, С. 104537 - 104537
Опубликована: Май 16, 2024
Nanofluids
garner
significant
scientific
interest
due
to
their
exceptional
heat-conducting
abilities
and
potential
enhance
heat
transfer
efficiency.
This
manuscript
investigates
the
behavior
of
a
two-dimensional
fractional
Carreau
fluid
model
on
stretched
sheet
over
time,
incorporating
convection,
magnetic
fields,
nanoparticles,
diffusion,
thermal
radiations.
The
elucidates
viscoelastic
nanofluids'
memory
inheritance
properties,
employing
non-integer
Caputo
derivatives
innovatively.
Fundamental
equations
are
transformed
into
dimensionless
form
solved
using
an
explicit
finite
difference
approach.
Essential
parameters
like
Skin
friction
coefficient,
Nusselt
number,
Sherwood
number
accurately
determined.
Rigorous
stability
convergence
criteria
ensure
effective
solution
convergence.
Visual
representations
demonstrate
impact
each
parameter
flow.
It
is
noted
that
temperature
gradient
increases
49.38%
with
increase
exponent
α
while
it
decreases
13.39%
M.
Moreover,
concentration
66.48%
thermophoresis
Nt
94.71%
pedesis
Nb.
