International Journal of Energy Research,
Journal Year:
2025,
Volume and Issue:
2025(1)
Published: Jan. 1, 2025
Entropy
generation
(EG)
is
intrinsically
linked
with
irreversibilities
present
within
a
thermodynamical
system,
signifying
energy
losses,
mainly
in
the
context
of
fluid
friction
and
heat
transfer.
In
systems
characterized
by
nanofluid
flow,
such
as
those
utilized
cooling
applications,
microelectronics,
exchangers,
reduction
EG
essential
for
augmenting
efficiency
alleviating
these
losses.
this
communication,
mixed
convection
flow
Sutterby
nanoliquid
porous
stretched
sheet
along
irreversibility
analyzed.
The
momentum
equation
reported
taking
magnetic
field
impacts.
Dissipation,
Lorentz
force,
radiation
influences
are
taken
development
transport
relation.
expression
concentration
described
chemical
reaction
effect.
Thermodynamics
second
law
employed
to
describe
entropy.
partial
differential
equations
(PDEs)
indicating
phenomenon
altered
into
self‐similar
form
via
transformations.
NDSolve
function
Mathematica
package
availed
solve
system.
impact
sundry
variables
on
concentration,
velocity,
Bejan
quantity,
irreversibility,
thermal
analyzed
graphically.
Engineering
quantities
discussed
numerically.
results
reveal
that
velocity
profile
upsurges
higher
buoyancy
parameter,
while
it
decays
raising
variable.
For
values
Eckert
number
temperature
upsurges,
an
upturn
Prandtl
number.
more
superior
diffusion
variables.
AIP Advances,
Journal Year:
2025,
Volume and Issue:
15(4)
Published: April 1, 2025
We
examine
a
heat-absorbing
viscous
fluid’s
electrically
conducting
boundary
layer
flow
over
semi-infinite
permeable
plate
in
porous
medium
inclined
at
an
angle
α.
Nonlinear
partial
differential
equations
are
solved
using
perturbation
methods,
and
graphical
analysis
is
used
to
determine
how
parameters
impact
concentration,
temperature,
velocity
profiles.
Buoyancy
forces
increase
fluid
with
the
increased
Grashof
number.
However,
presence
of
magnetic
(Lorentz)
rotational
(Coriolis)
effects
introduces
resistance,
leading
reduction
velocity.
A
direct
relationship
observed
between
number
skin
friction,
while
radiation
parameter
inversely
affects
Nusselt
An
Schmidt
lowers
Sherwood
also
investigate
rotation
on
unsteady
magnetohydrodynamic
slip
Artificial
Neural
Network
(ANN)
model
employing
Levenberg–Marquardt
Backpropagation.
The
ANN
accurately
predicts
dynamics
heat
transfer
numerical
simulation
data.
Model
accuracy
validated
through
mean
squared
error
graphs,
regression
analysis,
histograms,
demonstrating
reliable
predictions
under
varying
conditions.
