Numerical Heat Transfer Part A Applications,
Год журнала:
2024,
Номер
unknown, С. 1 - 21
Опубликована: Март 27, 2024
The
main
focus
of
this
study
is
to
analyze
the
transient
heat
transfer
characteristics
a
convective–radiative
longitudinal
porous
fin
fully
wetted
in
hybrid
nanofluid
along
with
internal
generation.
Darcy
formulation
considered
for
analyzing
velocity
fluid
passing
through
and
Rosseland
approximation
determines
radiation
flux.
obtained
by
immersing
GO
MoS2
nanoparticles
base
C2H6O2‐H2O.
Furthermore,
three
different
shapes
namely
spherical,
platelet,
blade
have
been
selected
investigation.
derived
nonlinear
partial
differential
equation
nondimensionalized
solved
numerically
employing
finite
difference
method.
effect
shape
factor,
nanoparticle
volume
fraction,
dimensionless
time,
wet
parameter,
radiation–conduction
generation
parameters,
other
relevant
parameters
on
thermal
analysis
structure
has
graphically
analyzed
discussed.
efficiency
modeled
its
variation
significant
examined.
One
major
outcomes
that
increases
fraction.
examination
resulted
novel
outcome
presence
enhances
also
high
achieved
blade-shaped
nanoparticles.
findings
investigation
play
prominent
role
enhancement
industrial
processes.
Case Studies in Thermal Engineering,
Год журнала:
2024,
Номер
57, С. 104336 - 104336
Опубликована: Апрель 1, 2024
The
consequence
of
thermal
performance
and
mass
distribution
endothermic/exothermic
chemical
reaction
pollutant
concentration
on
the
nanoliquid
stream
via
cylinder/plate
in
presence
permeable
media
is
explored
present
study.
advancement
efficient
waste
disposal
pollution
prevention
techniques
might
result
from
studies
fluid
flow
dispersion
contaminants
cylinders
plates.
Further,
TiO2
nanoparticle
offers
improved
conductivity,
helps
wide
range
technological
industrial
applications.
governing
partial
differential
equations
(PDEs)
problem
are
modelled
converted
to
ordinary
(ODEs)
utilizing
similarity
variables.
resultant
ODEs
numerically
solved
using
Runge
Kutta
Fehlberg's
fourth-fifth
order
(RKF-45)
scheme.
influence
various
non-dimensional
parameters
velocity,
thermal,
profiles
illustrated
with
a
graphical
representation.
comparison
between
cylinder
plate
geometry
also
displayed
graphs.
novel
outcomes
show
that
augmentation
parameter
reduces
profile
endothermic
case
elevates
exothermic
case.
Elevating
local
external
source
leads
rise
profile.
It
around
10%–12%
Cf,
4%–6%
Nu
8%–12%
Sh
observed
than
plate.
transfer
rate
for
values
solid
fraction
activation
energy.
In
all
modes,
performs
better
geometry.
Physica Scripta,
Год журнала:
2023,
Номер
99(1), С. 015225 - 015225
Опубликована: Дек. 6, 2023
Abstract
The
combined
impact
of
radiation
and
convection
on
the
heat
transfer
a
wavy
fin
is
scrutinized
in
present
analysis.
novelty
this
research
work
that
it
proposes
deterministic
machine
learning
model
known
as
an
extreme
to
address
problem
fin.
effect
convective
Rosseland
approximation
for
exchange
have
been
considered
investigation.
nonlinear
ordinary
differential
equation
(ODE)
converted
its
nondimensional
form
using
appropriate
dimensionless
variables.
Runge-Kutta-Fehlberg's
fourth-fifth
order
technique
(RKF
45)
used
solve
ODE
numerically.
roles
convection-conduction,
radiation-conduction,
thermal
conductivity,
parameters
discussed
satisfying
prescribed
temperature
distribution
rectangular
fins
with
graphical
visualization.
A
rise
convection-conduction
radiation-conduction
variables
decreased
both
Further,
ANSYS
simulation
analyzes
variation
total
flux
fins.
study
demonstrates
effectiveness
selected
through
obtained
results,
which
indicate
potential
regression
providing
accurate
prediction.
Case Studies in Thermal Engineering,
Год журнала:
2023,
Номер
49, С. 103265 - 103265
Опубликована: Июль 8, 2023
Thermal
critical
issues
commonly
occur
in
advanced
electrical
devices
as
a
response
to
excessive
heat
generation
or
loss
efficient
surface
area
for
exclusion.
This
issue
can
be
addressed
by
utilizing
the
extended
improve
transfer
performance
of
devices.
Thus,
present
analysis
is
devoted
scrutinizing
non-Fourier
unsteady
transference
trapezoidal
porous
fin.
Levenberg–Marquardt
technique
backpropagation
artificial
neural
network
(LMT-BANN)
employed
here
analyze
thermal
variation
The
developed
governing
equation
hyperbolic
conduction
(HHCE),
which
transformed
into
dimensionless
partial
differential
(PDE)
using
variables.
LMT-BANN
on
numerical
data
and
trace
approximation
fin
problem
methodology
that
includes
testing,
training,
validation.
A
graphical
visualization
consequences
variables
temperature
field
presented.
notable
evidence
this
study
reveals
magnitude
convection
factor
increases,
dissipation
through
gradually
decreases.
Further,
has
been
determined
an
effective,
reliable,
rapidly
convergent
stochastic
computational
solver
used
effectively
examining
model.
Case Studies in Thermal Engineering,
Год журнала:
2023,
Номер
51, С. 103552 - 103552
Опубликована: Окт. 4, 2023
The
simultaneous
convection-radiation
heat
transfer
of
a
partially
wetted
dovetail
extended
surface
is
investigated
in
this
study.
Also,
the
temperature
variance
behavior
(DES)
estimated
through
thermal
models
for
wet
and
dry
conditions
using
neural
network
with
Levenberg-Marquardt
scheme
(NNLMS).
corresponding
governing
energy
equations
fin
are
presented
as
set
ordinary
differential
(ODE),
which
reduced
to
non-dimensional
form
dimensionless
terms.
Further,
resulting
coupled
conductive,
convective,
radiative
ODEs
numerically
solved
utilizing
Runge-Kutta-Fehlberg
fourth-fifth
order
(RKF-45)
scheme.
Using
graphical
illustrations,
resultant
solutions
physically
determined
by
considering
effects
various
nondimensional
variables
on
behavior.
From
outcomes,
it
established
that
conductivity
parameter
enhances
distribution
fin,
an
upsurge
convection-conduction
variable,
ratio
parameter,
radiation–conduction,
diminishes
profile
considered
surface.
modelled
problem's
NNLMS
efficacy
demonstrated
achieving
best
convergence
unique
assessed
quantified
results.
outcomes
indicate
strategy
successfully
resolves
problem.
Numerical Heat Transfer Part A Applications,
Год журнала:
2023,
Номер
unknown, С. 1 - 18
Опубликована: Авг. 1, 2023
AbstractThe
investigation
of
waste
discharge
concentration
with
microchannel
plays
a
significant
impact
on
environmental
applications.
Microchannels
are
utilized
in
treatment
facilities
for
wastewater
to
manage
the
pollutants
and
impurities.
Effective
pollution
control
techniques
may
be
created
by
investigating
material's
fluid
flow
dispersion
microchannels.
In
view
above
applications,
present
examines
electrically
conducting
incompressible
ternary
hybrid
nanofluid
movement
nonuniform
heat
source/sink
concentration.
The
governing
equations
converted
into
system
ordinary
differential
using
appropriate
similarity
constraints,
resulting
numerically
solved
RKF-45
(Runge
Kutta
Fehlberg
4th
5th)
method.
effects
different
nondimensional
limitations
visually
displayed
thoroughly
explored
patterns,
distribution,
profiles.
analysis
is
done
important
engineering
variables
such
as
skin
friction,
transfer
rate,
mass
transfer.
Magnetic
porous
media
shape
factors
directly
influenced
velocity
temperature
These
two
will
decline
improve
temperature.
Further,
improvement
local
external
pollutant
fluid.
rate
improves
increasing
source
constraint.
work
outcomes
helpful
exchangers,
control,
microfluidic
chip
devices,
treatment,
energy
conversion.Keywords:
magnetic
fieldmicrochannelnonuniform
source/sinkpollutant
concentrationternary
AcknowledgmentThe
author
would
like
extend
his
appreciation
Deanship
Scientific
Research
at
King
Khalid
University,
Saudi
Arabia
funding
this
through
Group
Program
under
grant
No.
RGP.2/218/44.Author
contributionsPlanning
Designing
Manuscript:
J.
K.
Madhukesh,
Vinutha,
B.
C.
Prasannakumara.
Performed
numerical
calculation:
Ioannis
E.
Sarris
Madhukesh.
Analysis
Data:
Amal
Abdulrahman,
Review
Editing:
Prasannakumara
Sarris.
Resources
Investigation:
Prasannakumara,
Vinutha.
Formal
analysis:
Vinutha
Abdulrahman.
Proof
reading:
Supervision
Project
administration:
Abdulrahman.Data
availabilityAll
data
available
within
manuscript.Disclosure
statementNo
potential
conflict
interest
was
reported
authors.Additional
informationFundingThis
supported
Research,
University.
Biomimetics,
Год журнала:
2023,
Номер
8(8), С. 574 - 574
Опубликована: Дек. 1, 2023
Evolutionary
algorithms
are
a
large
class
of
optimization
techniques
inspired
by
the
ideas
natural
selection,
and
can
be
employed
to
address
challenging
problems.
These
iteratively
evolve
populations
using
crossover,
which
combines
genetic
information
from
two
parent
solutions,
mutation,
adds
random
changes.
This
iterative
process
tends
produce
effective
solutions.
Inspired
this,
current
study
presents
results
thermal
variation
on
surface
wetted
wavy
fin
algorithm
in
context
parameter
estimation
for
artificial
neural
network
models.
The
physical
features
convective
radiative
heat
transfer
during
wet
conditions
also
considered
develop
model.
highly
nonlinear
governing
ordinary
differential
equation
proposed
problem
is
transmuted
into
dimensionless
equation.
graphical
outcomes
aspects
profile
demonstrated
specific
non-dimensional
variables.
primary
observation
decrease
temperature
with
rise
parameters
convective-conductive
parameters.
implemented
offers
powerful
technique
that
effectively
tune
network,
leading
an
enhanced
predictive
accuracy
convergence
numerically
obtained
solution.
Symmetry,
Год журнала:
2023,
Номер
15(8), С. 1601 - 1601
Опубликована: Авг. 18, 2023
The
impact
of
convection
and
radiation
on
the
thermal
distribution
wavy
porous
fin
is
examined
in
present
study.
A
hybrid
model
that
combines
differential
evolution
(DE)
algorithm
with
an
artificial
neural
network
(ANN)
proposed
for
predicting
heat
transfer
fin.
equation
representing
variation
reduced
to
its
dimensionless
arrangement
numerically
solved
using
Rung,
e-Kutta-Fehlberg’s
fourth-fifth
order
method
(RKF-45).
study
demonstrates
effectiveness
this
model,
results
indicate
approach
outperforms
ANN
parameters
obtained
through
grid
search
(GS),
showcasing
superiority
DE-ANN
terms
accuracy
performance.
This
research
highlights
potential
utilizing
DE
improved
predictive
modeling
sector.
originality
it
addresses
problem
by
optimizing
selection
algorithm.
Mathematics,
Год журнала:
2023,
Номер
11(10), С. 2401 - 2401
Опубликована: Май 22, 2023
The
present
research
examines
the
steady,
one-dimensional
thermal
distribution
and
heat
transfer
of
a
wavy
fin.
This
analysis
considers
convective
effects
as
well
temperature-dependent
conductivity.
Furthermore,
novel
implementation
neural
network
with
backpropagated
Levenberg–Marquardt
algorithm
(NN-BLMA)-based
machine
learning
intelligent
strategies
is
provided
to
interpret
non-linear
ordinary
differential
equation
(ODE)
study
problem
converted
into
its
non-dimensional
form
using
similarity
transformation
technique.
dimensionless
obtained
then
numerically
explored
via
Runge–Kutta–Fehlberg
scheme.
A
data
set
for
varying
pertinent
parameters
generated,
an
artificial
model
designed
estimate
behavior
effectiveness
proposed
NN-BLMA
subsequently
endorsed
by
analyses
regression
model,
mean
square
error,
histograms.
findings
comprehensive
computational
parametric
studies
illustrate
that
presented
technique,
effective
convergent
stochastic
numerical
solver
employed
fin’s
temperature
dispersion
optimizes
conductivity
parameter
rises.
Heat
rate
higher
in
fin
compared
rectangular