Journal of Nanofluids,
Journal Year:
2024,
Volume and Issue:
13(6), P. 1279 - 1294
Published: Dec. 1, 2024
Modelling
hypothetical
phenomena
with
a
power-law
hybrid
fluid
over
spinning
disk
is
the
main
objective
of
present
effort.
In
this
phase
progress,
optimization
numerical
approach
that
integrates
Adaptive
Neuro-Fuzzy
Inference
System
(ANFIS)
and
Particle
Swarm
Optimization
(PSO)
to
fabricate
heat
source/sink,
non-linear
thermal
radiation
entropy
generation
has
been
facilitated.
To
make
sure
appropriate
self-similarity
variables
have
used
convert
PDE
set
s
into
an
ODE.
The
model’s
study
findings,
few
notable
exceptions,
generally
align
those
from
earlier
studies
included
in
dataset
trained
ANFIS-PSO
model.
visually
appealing
outcomes
for
various
profiles
reflect
effects
active
elements.
This
illustrates
how
velocity
temperature
grow
abruptly
increasing
magnetic
field
radiation,
creating
paradox
decreasing
electric
inputs.
Also,
profile’s
tilting
source
or
sink
indicates
inclination.
Additionally,
training
was
examine
approximations
certain
circumstances,
effectiveness
created
assessed
by
comparing
it
testing
dataset.
nanoparticles
here,
their
longer
render,
might
be
suitable
use
biological
industrial
applications,
including
exchanger
simulation,
glass
polymer
industries,
metal
plate
cooling.
Journal of Engineering Research,
Journal Year:
2024,
Volume and Issue:
unknown
Published: May 1, 2024
In
this
study,
magnetohydrodynamic
(MHD)
natural
convection
flow
investigated
a
large
heat
transfer
trend
in
uniform
magnetic
field
finite
element
approach.
For
verification,
calculation
results
adjusted
high
stream
function,
temperature
distribution,
and
the
average
Nusselt
of
MHD.
This
research
presents
an
innovative
contribution
by
analyzing
corrugated
geometries,
specifically
focusing
on
square-corrugated
(SW)
circle-corrugated
(CW)
configurations.
Additionally,
The
influence
key
parameters
constituting
Hartman
number,
Rayleigh
Darcy
which
largely
affects
velocities,
temperature,
was
accurately
observed
present
study.
To
computationally
resolve,
wave
is
in-stream
behavior
but
has
not
influenced
distribution
or
parameter.
maximum
minimum
value
number
related
to
S
at
Da=10−5
case
1
WC
2,
respectively.
Furthermore,
decreasing
parameter
increases
velocity
u
v
strength
both
cases.
Scientific Reports,
Journal Year:
2024,
Volume and Issue:
14(1)
Published: June 27, 2024
The
study
investigates
the
heat
transfer
and
friction
factor
properties
of
ethylene
glycol
glycerol-based
silicon
dioxide
nanofluids
flowing
in
a
circular
tube
under
continuous
flux
circumstances.
This
tackles
important
requirement
for
effective
thermal
management
areas
such
as
electronics
cooling,
automobile
industry,
renewable
energy
systems.
Previous
research
has
encountered
difficulties
enhancing
performance
while
handling
increased
associated
with
nanofluids.
conducted
experiments
Reynolds
number
range
1300
to
21,000
particle
volume
concentrations
up
1.0%.
Nanofluids
exhibited
superior
coefficients
values
than
base
liquid
values.
highest
enhancement
was
5.4%
8.3%
glycerol
-based
Nanofluid
relative
penalty
∼30%
75%,
respectively.
To
model
predict
complicated,
nonlinear
experimental
data,
five
machine
learning
approaches
were
used:
linear
regression,
random
forest,
extreme
gradient
boosting,
adaptive
decision
tree.
Among
them,
tree-based
performed
well
few
errors,
forest
boosting
models
also
highly
accurate.
findings
indicate
that
these
advanced
can
accurately
anticipate
nanofluids,
providing
dependable
tool
improving
their
use
variety
study's
help
design
more
cooling
solutions
improve
sustainability
Numerical Heat Transfer Part B Fundamentals,
Journal Year:
2024,
Volume and Issue:
unknown, P. 1 - 29
Published: May 10, 2024
The
present
investigation
aims
to
determine
the
existence
of
a
dual
solution
in
magnetohydrodynamic
(MHD)
mixed
convective
radiative
flow
Cu-Ag-Al2O3/H2O
tri-hybrid
nanofluid
permeable
Darcy–Forchheimer
porous
medium
over
an
exponentially
shrinking
surface
by
considering
velocity,
thermal
slips,
and
suction
effects
at
surface.
This
study
focuses
on
assessing
entropy
production
novel
coolant
applications.
To
streamline
analysis,
complex
nonlinear
partial
differential
equations
(PDEs)
are
simplified
converting
them
into
set
ordinary
(ODEs)
through
utilization
similarity
transformation
technique.
These
ODEs
then
solved
utilizing
bvp4c
numerical
MATLAB
function.
Graphical
tabular
analyses
conducted
investigate
impact
emerging
variables
generation,
as
well
temperature,
skin
friction
coefficient,
Nusselt
number.
Due
contraction
surface,
solutions
found,
but
cannot
be
found
beyond
critical
values.
values
SC
1.58928,
1.48700,
1.66058,
ξC
−1.239499,
−1.416999,
−1.130030
for
Cu/H2O
nanofluid,
Cu−Ag/H2O
hybrid
Cu−Ag−Al2O3/H2O
respectively.
A
positive
minimum
eigenvalue
γ1
signifies
upper
stable
branch,
while
negative
minimal
indicates
presence
lower
unstable
branch.
exhibits
superior
properties
compared
fluids.
Adding
nanoparticles
traditional
fluids
is
perceived
improving
their
ability
transmit
heat.
analysis
has
demonstrated
that
radiation
temperature
slip
parameters
significantly
influence
heat
transfer
rate.
Thermal
speed
up
creation
entropy.
Additionally,
case
solution,
increase
Forchheimer
number
results
deceleration
liquid
flow,
effect
which
further
amplified
magnetic
field
velocity
parameter.
International Journal of Thermal Sciences,
Journal Year:
2024,
Volume and Issue:
203, P. 109167 - 109167
Published: May 24, 2024
Extensive
research
has
been
conducted
on
the
heat
transfer
characteristics
related
to
boundary
conditions
present
in
phase-change
applications.
However,
there
remains
a
fundamental
gap
understanding
local
of
mixed
convective
laminar
flow
exposed
uniform
wall
temperature
condition.
Furthermore,
is
disparity
between
numerical
and
experimental
studies
investigating
this
This
study
addresses
these
gaps
by
being
first
experimentally
investigate
developing
through
horizontal
tube
A
novel
setup
was
developed
measure
mean
fluid
temperatures
along
5
m-long
copper
with
an
inner
diameter
4.9
mm.
While
results
indicated
increase
test
section,
average
Nusselt
numbers
correlated
well
literature,
indicating
that
similar
trends
existed
prior
studies.
The
for
were
divided
into
four
regions:
(1)
Free
Convection
Developing,
(2)
Governing,
(3)
Sustained
Convection,
(4)
Diminishing
Heat
Transfer.
convection
effects
found
near
inlet
associated
secondary
assisted
becoming
fully
developed.
due
decreasing
wall-fluid
differences,
free
could
not
be
sustained,
eventually
diminished
as
approached
temperatures.
Polish Maritime Research,
Journal Year:
2024,
Volume and Issue:
31(2), P. 140 - 155
Published: June 1, 2024
Abstract
Maritime
transport
forms
the
backbone
of
international
logistics,
as
it
allows
for
transfer
bulk
and
long-haul
products.
The
sophisticated
planning
required
this
form
transportation
frequently
involves
challenges
such
unpredictable
weather,
diverse
types
cargo
kinds,
changes
in
port
conditions,
all
which
can
raise
operational
expenses.
As
a
result,
accurate
projection
ship’s
total
time
spent
port,
anticipation
potential
delays,
have
become
critical
effective
activity
management.
In
work,
we
aim
to
develop
management
system
based
on
enhanced
prediction
classification
algorithms
that
are
capable
precisely
forecasting
lengths
ship
stays
delays.
On
both
training
testing
datasets,
XGBoost
model
was
found
consistently
outperform
alternative
approaches
terms
RMSE,
MAE,
R2
values
turnaround
waiting
period
models.
When
used
model,
had
lowest
RMSE
1.29
during
0.5019
testing,
also
achieved
MAE
0.802
0.391
testing.
It
highest
0.9788
0.9933
Similarly,
outperformed
random
forest
decision
tree
models,
with
greatest
phases.
